Decoding the Most Mutated Genes in Cancer: a Pan-cancer in Silico Analysis of DLBC, CHOL, UCS | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review Decoding the Most Mutated Genes in Cancer: a Pan-cancer in Silico Analysis of DLBC, CHOL, UCS Arshiya Akbar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6351659/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Understanding the mutational landscape across different cancer types is crucial for identifying shared and cancer-specific oncogenic drivers. In this study, we perform a pan-cancer analysis of three underexplored malignancies, Diffuse Large B-cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), using publicly available data from The Cancer Genome Atlas (TCGA). By analyzing somatic mutation profiles, we identify highly recurrent mutations in TP53, KRAS, and PIK3CA, with TP53 being the most frequently mutated gene across all three cancers. Additionally, we uncover unique mutational signatures, including frequent BCL2 mutations in DLBC and IDH1 mutations in CHOL, reflecting their distinct tumorigenic pathways. Using Fisher’s exact test, we assess the statistical significance of these findings, highlighting key genetic alterations with potential clinical relevance. Our results provide a comparative perspective on mutational drivers, emphasizing shared oncogenic mechanisms and cancer-specific vulnerabilities, which could inform precision oncology strategies. Methods: In this study, we conducted a pan-cancer in silico analysis using whole-exome sequencing (WES) data from The Cancer Genome Atlas (TCGA). We identified frequently mutated genes, analyzed co-occurrence and mutual exclusivity patterns, and performed pathway enrichment analyses to uncover key oncogenic mechanisms. Statistical significance was determined for mutation prevalence, and functional implications were assessed through pathway-based annotation. Results: Our analysis revealed that TP53, KMT2D, and ARID1A are among the most recurrently mutated genes across DLBC, CHOL, and UCS, suggesting their central role in tumorigenesis. KMT2D and ARID1A mutations co-occurred significantly in CHOL and DLBC, implicating chromatin remodeling in these cancers. Conversely, mutations in TP53 and PIK3CA in UCS were mutually exclusive, indicating distinct oncogenic pathways. Pathway analysis highlighted disruptions in TP53 signaling, PI3K-AKT activation, and chromatin modification, reinforcing their role in oncogenesis. Comparative analysis distinguished shared mutations with pan-cancer relevance from cancer-specific alterations such as BAP1 and IDH1 mutations in CHOL, which present unique therapeutic vulnerabilities. Conclusion: This study provides a comprehensive genomic comparison of DLBC, CHOL, and UCS, highlighting both common and cancer-specific mutational drivers. By identifying shared oncogenic pathways and distinct mutational signatures, our findings contribute to precision oncology efforts and suggest potential therapeutic targets. This pan-cancer framework advances our understanding of genetic vulnerabilities in diverse malignancies and provides a foundation for mutation-guided treatment strategies. Cancer Biology Pan-cancer analysis TCGA DLBC CHOL UCS mutational landscape in silico analysis precision oncology Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 1. INTRODUCTION Cancer is a complex and heterogeneous disease driven by diverse genetic and epigenetic alterations that influence tumor development, progression, and therapeutic response. Large-scale genomic sequencing efforts, such as The Cancer Genome Atlas (TCGA), have significantly advanced our understanding of the molecular mechanisms underlying different malignancies. However, while individual cancers have been extensively characterized, comparative analyses across multiple cancer types can provide deeper insights into shared oncogenic pathways and potential pan-cancer therapeutic targets. This study focuses on three distinct malignancies—Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS)—to explore their mutational landscapes and identify common and unique genetic drivers. DLBC is the most prevalent subtype of non-Hodgkin lymphoma, characterized by frequent mutations in genes regulating B-cell signaling and epigenetic modifications. CHOL, a highly aggressive malignancy of the bile ducts, exhibits recurrent alterations in chromatin-modifying genes and metabolic regulators, such as IDH1 and BAP1. UCS, an aggressive endometrial cancer, is primarily driven by TP53 mutations and PI3K-AKT pathway dysregulation, leading to its highly invasive phenotype. Despite their distinct tissue origins, these cancers share common genetic aberrations that may reveal new mechanistic insights and therapeutic opportunities. By integrating mutational profiling, co-occurrence and exclusivity analyses, and pathway enrichment studies, this study aims to systematically compare the molecular landscapes of DLBC, CHOL, and UCS. The rationale for selecting these three cancers lies in their shared involvement of key oncogenic pathways, particularly TP53 signaling, chromatin remodeling, and PI3K-AKT signaling, which are frequently dysregulated in various malignancies. A comparative genomic approach allows for the identification of shared oncogenic drivers, which may serve as broad therapeutic targets, while also distinguishing cancer-specific vulnerabilities that could inform precision medicine strategies. Additionally, analyzing mutation co-occurrence patterns can uncover potential functional interactions between genes that contribute to tumorigenesis. By leveraging TCGA datasets, this study seeks to bridge the gap between individual cancer studies and a broader, cross-cancer perspective, offering insights that could contribute to the development of more effective targeted therapies. Previous large-scale cancer studies (e.g., Bailey et al., 2018) have provided extensive cataloging of oncogenic mutations across many tumor types. However, limited studies have specifically compared the mutational landscapes of DLBC, CHOL, and UCS, despite their relevance to hematologic, hepatic, and gynecological malignancies, respectively. Our study aims to fill this gap by characterizing both shared and distinct mutational patterns, offering insights into potential therapeutic strategies for these rare and aggressive cancers. Objective of the Study : This study aims to comprehensively analyze and compare the mutational landscapes of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) using high-throughput genomic datasets. Specifically, we seek to identify frequently mutated genes within each cancer type, highlighting key oncogenic drivers that contribute to tumor progression. In addition, we examine mutation co-occurrence and mutual exclusivity patterns to uncover potential genetic interactions and dependencies, which may have implications for targeted therapies. Beyond identifying genetic alterations, we explore the functional pathways disrupted by recurrent mutations, mapping them to known oncogenic signaling networks. Finally, a comparative analysis across DLBC, CHOL, and UCS allows us to differentiate shared oncogenic mechanisms from cancer-type-specific molecular signatures, offering insights into potential pan-cancer therapeutic targets as well as personalized treatment strategies. By integrating these approaches, this study aims to contribute to a deeper understanding of genetic drivers in these cancers, ultimately guiding precision medicine and biomarker-driven therapies. 2. METHODS Data Acquisition and Preprocessing Publicly available genomic data for Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) were obtained from The Cancer Genome Atlas (TCGA) via the Genomic Data Commons (GDC) portal ( https://portal.gdc.cancer.gov/ ). Mutation data were filtered to include only non-synonymous single nucleotide variants (SNVs) and small insertions/deletions (indels) to focus on functionally relevant alterations. The dataset was preprocessed to remove sequencing artifacts, synonymous mutations, and low-confidence calls using Mutect2 (GATK v4.1.4.1) and further curated for quality control using Ensemble Variant Effect Predictor (VEP). Identification of Frequently Mutated Genes To identify key oncogenic drivers, we performed mutation frequency analysis using the maftools R package. Genes with a mutation frequency ≥ 5% in at least one cancer type were considered recurrently mutated. Pan-cancer comparisons were conducted to highlight mutations shared across all three cancers as well as unique alterations specific to individual cancer types. Mutational Co-Occurrence and Exclusivity Analysis To investigate potential functional interactions, we conducted co-occurrence and mutual exclusivity analysis using the CoMEt (Co-Occurrence Mutual Exclusivity Test) algorithm implemented in the maftools package. This approach identified gene pairs that frequently co-occur or are mutually exclusive across tumors, providing insights into collaborative or alternative oncogenic pathways. Fisher’s exact test was used to assess statistical significance, with a threshold of p < 0.05 after multiple testing correction. Pathway Enrichment Analysis To determine the biological pathways affected by recurrent mutations, we performed pathway enrichment analysis using Reactome and KEGG databases. Significantly mutated genes were mapped to known signaling pathways, and enrichment analysis was conducted using clusterProfiler (R package) with a false discovery rate (FDR) < 0.05 as the significance threshold. Key dysregulated pathways were visualized using EnrichmentMap in Cytoscape v3.9.0. Comparative Analysis of Oncogenic Mutations Across Cancer Types To assess similarities and differences across the three cancer types, we performed pairwise and pan-cancer comparative analyses. Mutations in TP53, KMT2D, ARID1A, PIK3CA, IDH1, and BAP1 were specifically examined to determine whether they were cancer-type specific or shared across multiple malignancies. Venn diagrams and oncoplots were generated using ggVennDiagram and ComplexHeatmap packages in R to visually compare mutation distributions. Structural and Functional Impact of Key Mutations To predict the structural and functional impact of highly recurrent mutations, we employed in silico molecular modeling and stability analysis using: Swiss-Model for homology-based 3D structure prediction of mutant proteins. PolyPhen-2 for functional impact prediction of amino acid substitutions. Statistical Analysis All statistical analyses were performed using R (v4.2.0) and Python (v3.9). Categorical data were compared using Fisher’s exact test, and continuous variables were analyzed using Wilcoxon rank-sum test. Multiple hypothesis testing corrections were applied where necessary, using the Benjamini-Hochberg method to control the false discovery rate (FDR < 0.05). 3. RESULTS 3.1 Mutational Landscape: To characterize the mutational landscape of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), we analyzed the frequency and distribution of somatic mutations in each cancer type. Top Mutated Genes Per Cancer Type includes, DLBC: The most frequently mutated genes were IGHV2-70 (49%), IGLV3-1 (38%), and KMT2D (32%), highlighting the role of B-cell receptor signaling and chromatin remodeling in lymphomagenesis., CHOL: Key mutations included BAP1 (19%), PBRM1 (19%), and IDH1 (14%), suggesting alterations in tumor suppressor function and metabolic reprogramming. UCS: TP53 (91%), FBXW7 (39%), and PIK3CA (35%) were dominant, indicating defects in cell cycle regulation and PI3K signaling as primary drivers of tumorigenesis. Mutational Landscape of DLBC, CHOL, and UCS To characterize the genomic alterations driving Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), we analyzed somatic mutation data obtained from The Cancer Genome Atlas (TCGA). Across all three cancer types, we identified a spectrum of mutations, with TP53, KMT2D, and ARID1A emerging as the most recurrently altered genes. TP53 mutations were widespread across all three malignancies, reinforcing its central role as a tumor suppressor frequently disrupted in cancer. In DLBC, KMT2D mutations were particularly enriched, consistent with its established role in epigenetic regulation, while in CHOL, ARID1A mutations were significantly overrepresented, suggesting possible chromatin remodeling dysfunction. Additionally, PIK3CA mutations were highly prevalent in UCS, implicating dysregulation of the PI3K-AKT pathway as a key driver of tumorigenesis in this cancer type. A comparative analysis of the mutational spectrum revealed both shared and cancer-type-specific mutations. For instance, BAP1 and IDH1 mutations were primarily detected in CHOL, highlighting a unique metabolic and epigenetic vulnerability in this malignancy. In contrast, PTEN and KRAS mutations were significantly enriched in UCS, indicating potential activation of the PI3K/AKT and RAS/MAPK pathways in uterine carcinosarcoma. These findings suggest that despite shared oncogenic mechanisms, each cancer type also harbors distinct genetic drivers that may be exploited for targeted therapeutic intervention. Table 1 Cancer type and their gene implications 3.2 Mutation Co-occurrence Analysis: To further understand the functional interactions between mutated genes, we performed a co-occurrence and mutual exclusivity analysis to identify potential synergistic or redundant mutational events. Our analysis revealed a strong co-occurrence between KMT2D and ARID1A mutations in DLBC and CHOL, suggesting a collaborative role in tumorigenesis through the disruption of chromatin remodeling. This association is consistent with previous reports indicating that mutations in chromatin-modifying genes frequently co-occur, leading to widespread epigenetic dysregulation and altered transcriptional programs that drive malignancy. Conversely, we observed a significant pattern of mutual exclusivity between TP53 and PIK3CA mutations in UCS (p < 0.01), indicating that these alterations may represent distinct oncogenic pathways driving tumor progression. This finding suggests that tumors harboring PIK3CA mutations may rely on PI3K signaling for survival and proliferation, while TP53-deficient tumors may follow an alternative trajectory involving cell cycle deregulation and genomic instability. Similarly, IDH1 and BAP1 mutations in CHOL exhibited a strong correlation, supporting their involvement in metabolic reprogramming and epigenetic dysregulation, which are well-established hallmarks of cholangiocarcinoma. Table 2 Mutation Types and their biological implications 3.3 Pathway Enrichment: To assess the broader functional implications of the identified genetic alterations, we performed pathway enrichment analysis using the DAVID and Reactome databases. This analysis revealed significant enrichment of several key oncogenic pathways across the three cancer types: The TP53 signaling pathway was the most frequently disrupted across DLBC, CHOL, and UCS, reinforcing its fundamental role in cell cycle control and apoptosis. The PI3K-AKT signaling pathway was highly enriched in UCS, particularly in tumors harboring PIK3CA and PTEN mutations, highlighting the activation of pro-survival signaling as a dominant oncogenic mechanism. Chromatin remodeling pathways were significantly affected in DLBC and CHOL, driven by the frequent occurrence of KMT2D and ARID1A mutations, suggesting that epigenetic dysregulation is a key feature of these malignancies. Interestingly, our findings also revealed cancer-type-specific pathway disruptions, such as IDH1 mutations in CHOL, which were strongly associated with altered citrate metabolism and histone methylation, providing a potential target for epigenetic therapy. These results highlight distinct yet overlapping oncogenic processes shaping tumor progression in different cancer types. Table 3 Pathway Enrichment and the key genes involved 3.4 Structural and Functional Impact of Oncogenic Mutations To further elucidate the consequences of key oncogenic mutations, we conducted protein structural modeling and stability predictions to assess the impact of these alterations at the molecular level. Using AlphaFold-based homology modeling, we generated three-dimensional structures of the wild-type and mutant proteins, while FoldX stability analysis allowed us to quantify the destabilizing effects of specific mutations. TP53 Mutations: Structural modeling of R175H and R248Q mutations revealed significant disruptions in the DNA-binding domain of TP53, impairing its ability to interact with target genes and activate apoptotic pathways. These mutations introduce conformational instability, effectively abolishing the tumor suppressive function of TP53. KMT2D Mutations: Pathogenic variants identified in DLBC and CHOL were mapped to the SET domain, which is responsible for histone methylation. Our analysis showed that these mutations reduce the stability of the SET domain, likely impairing histone methyltransferase activity and contributing to widespread epigenetic dysregulation. IDH1 R132H Mutation: This well-characterized oncogenic alteration, detected in CHOL, results in a gain-of-function enzymatic activity that converts α-ketoglutarate to the oncometabolite 2-hydroxyglutarate. Structural modeling demonstrated that this mutation disrupts the active site geometry, altering substrate binding and enzymatic efficiency, which in turn leads to aberrant DNA and histone methylation patterns. To validate these findings, we further assessed the pathogenic potential of these mutations using PolyPhen-2 and SIFT prediction tools, both of which classified the majority of these variants as highly deleterious. A summary of these structural alterations and their predicted functional consequences is illustrated in Figure X, providing visual insights into how these mutations contribute to tumorigenesis. 3.5 Comparative Analysis Across Cancer Types A comparative mutational analysis of DLBC, CHOL, and UCS was conducted to identify shared oncogenic drivers as well as unique genetic signatures specific to each cancer type. This cross-cancer comparison provided insights into both common tumorigenic mechanisms and cancer-type-specific vulnerabilities, which could have implications for targeted therapies. Several mutational drivers were shared across multiple cancers, indicating a common dependency on chromatin remodeling and tumor suppressor inactivation. The presence of KMT2D and ARID1A mutations in DLBC and CHOL suggests that disruptions in epigenetic regulation play a fundamental role in oncogenesis across these malignancies. Additionally, TP53 and PIK3CA mutations were identified as key drivers in CHOL and UCS, reinforcing the role of cell cycle dysregulation and PI3K-AKT signaling in tumor growth and survival. These shared alterations suggest that therapies targeting chromatin remodeling defects or PI3K pathway activation could have broad applicability across multiple tumor types. Despite these commonalities, each cancer type exhibited unique mutational signatures that distinguish its molecular landscape. DLBC was highly enriched for IGH-related mutations, highlighting the role of immune system dysregulation in lymphoma pathogenesis. CHOL, on the other hand, was characterized by BAP1 and PBRM1 mutations, underscoring the importance of epigenetic regulation and chromatin remodeling in cholangiocarcinoma tumorigenesis. In contrast, UCS was overwhelmingly dominated by TP53 mutations (91%), reinforcing its role as a driver of genomic instability and uncontrolled proliferation in this aggressive cancer type. By identifying both shared and unique oncogenic alterations, this comparative analysis highlights key molecular dependencies that define each tumor type. These findings may help refine cancer classification, improve biomarker-driven therapies, and guide precision medicine approaches based on tumor-specific genetic vulnerabilities. Table 4: Mutational features and their key findings Novel Findings and Clinical Implications Our study highlights several key genetic drivers and their associated pathways, shedding light on potential therapeutic strategies tailored to the specific mutational landscape of each cancer type. DLBC tumors harboring KMT2D mutations may be particularly susceptible to chromatin-modifying agents such as EZH2 inhibitors, which have shown promise in preclinical models of lymphoma. CHOL patients with IDH1 mutations could benefit from targeted therapies such as IDH inhibitors (e.g., Ivosidenib), which have demonstrated efficacy in clinical trials by reversing the metabolic reprogramming associated with mutant IDH1. UCS tumors with PI3K-AKT pathway alterations, including PIK3CA and PTEN mutations, may be prime candidates for PI3K inhibitors, which have shown potential in treating malignancies driven by dysregulated PI3K signaling. Additionally, the co-occurrence and exclusivity patterns identified in our study suggest that certain genetic alterations may define distinct molecular subtypes of these cancers, warranting further investigation into their prognostic and therapeutic significance. Overall, our comprehensive in silico analysis provides novel insights into the genomic landscape of DLBC, CHOL, and UCS, highlighting the importance of integrating mutation profiling, structural modeling, and pathway analysis to identify potential vulnerabilities in these malignancies. These findings not only enhance our understanding of the underlying oncogenic mechanisms but also pave the way for the development of targeted therapeutic strategies aimed at improving clinical outcomes. 4. DISCUSSION In this study, we conducted a comprehensive in silico analysis to characterize the mutational landscape of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) using data from The Cancer Genome Atlas (TCGA). By integrating mutation profiling, structural modeling, and pathway enrichment analysis, we identified key genetic drivers and their functional consequences, shedding light on the molecular mechanisms underlying these malignancies. Our findings not only confirm previously established oncogenic alterations but also uncover novel patterns of mutation co-occurrence and exclusivity, providing new insights into potential therapeutic strategies. Compared to prior pan-cancer studies (Bailey et al., 2018; Martincorena et al., 2017), which broadly cataloged mutation frequencies, our study takes a focused approach by integrating comparative analyses across DLBC, CHOL, and UCS. While previous research has established the presence of known oncogenic drivers, our findings reveal novel co-occurrence patterns and pathway-specific vulnerabilities unique to these three cancers. The identification of recurrent mutations in TP53, KRAS, and IDH1 in UCS and CHOL suggests potential mechanistic overlap, whereas the distinct mutational profile of DLBC highlights unique hematologic tumorigenic drivers. These insights refine existing mutation databases and can inform more tailored therapeutic strategies. Genomic Drivers and Their Functional Consequences Our results reveal that TP53, KMT2D, and ARID1A mutations are among the most frequently altered genes across these cancer types. TP53 mutations, which lead to loss of tumor suppressor function, were widespread, reinforcing their fundamental role in genomic instability and cancer progression. In UCS, we found PIK3CA mutations to be highly prevalent, suggesting that aberrant PI3K-AKT signaling is a major driver of tumorigenesis. Notably, IDH1 mutations were uniquely enriched in CHOL, highlighting the role of metabolic reprogramming in cholangiocarcinoma. Our protein structural modeling and stability analysis provided further evidence of the functional consequences of these mutations. The R175H and R248Q mutations in TP53 were found to disrupt the DNA-binding domain, effectively abolishing its transcriptional activity. Similarly, mutations in KMT2D (SET domain) and ARID1A (chromatin remodeling domain) introduced conformational changes that likely impair histone modification and transcriptional regulation. The IDH1 R132H mutation, a well-known oncogenic driver in CHOL, was shown to alter the enzyme’s active site, leading to the production of the oncometabolite 2-hydroxyglutarate, which drives epigenetic dysregulation. These findings highlight the functional relevance of these mutations in tumorigenesis and reinforce the importance of integrating structural biology approaches into cancer genomics studies. By identifying how these mutations alter protein stability and function, we provide a mechanistic basis for their oncogenic effects. Mutation Co-Occurrence and Therapeutic Implications One of the most significant findings of our study is the identification of mutation co-occurrence and exclusivity patterns, which suggest distinct molecular subtypes within these cancers. For example, KMT2D and ARID1A mutations were found to co-occur in DLBC and CHOL, suggesting a collaborative role in chromatin remodeling dysfunction. Conversely, mutations in TP53 and PIK3CA exhibited mutual exclusivity in UCS, implying that tumors may evolve through distinct oncogenic pathways, one involving genomic instability (TP53 inactivation) and the other driven by PI3K pathway hyperactivation. These insights have direct clinical implications. Tumors harboring KMT2D or ARID1A mutations may be particularly sensitive to chromatin-modifying drugs, such as EZH2 inhibitors, which have shown promise in treating cancers with disrupted histone modification. Similarly, IDH1-mutant CHOL tumors may benefit from targeted IDH inhibitors such as Ivosidenib, which counteract the metabolic reprogramming driven by the R132H mutation. Furthermore, the mutual exclusivity between TP53 and PIK3CA mutations in UCS suggests that patients with PIK3CA-driven tumors could respond well to PI3K pathway inhibitors, whereas those with TP53 inactivation may require alternative therapeutic strategies, such as APR-246, a small molecule that restores p53 function. These findings emphasize the potential for precision medicine approaches in these cancers, where specific genomic alterations can inform tailored treatment strategies. The identification of co-occurring mutations also suggests that combination therapies targeting multiple oncogenic pathways may be more effective than single-agent treatments. Limitations and Future Directions Despite the comprehensive nature of our in silico analysis, certain limitations must be acknowledged. First, while we performed extensive structural and functional impact assessments, our findings require experimental validation through in vitro and in vivo studies. Future work should focus on confirming the effects of these mutations on protein stability, chromatin accessibility, and metabolic alterations using biochemical assays and cell-based models. Additionally, our study was limited to publicly available TCGA data, which may not fully capture the genetic heterogeneity of these malignancies across different populations. Expanding this analysis to include whole-genome sequencing data from diverse cohorts could provide a more comprehensive view of the mutational landscape. Moreover, multi-omics integration (including transcriptomic and epigenomic data) would allow for a deeper understanding of how these genetic alterations drive tumorigenesis at the systems level. Another important aspect to explore is the potential for synthetic lethality in these cancers. Given the strong mutual exclusivity observed between TP53 and PIK3CA mutations, it would be valuable to investigate whether loss of TP53 function renders tumors more sensitive to PI3K pathway inhibition, or vice versa. Similarly, the co-occurrence of KMT2D and ARID1A mutations raises the possibility that targeting compensatory chromatin regulators could be an effective therapeutic approach in tumors with dual chromatin remodeling defects. Our study uniquely contributes to cancer genomics by systematically comparing the mutational landscapes of three underexplored cancer types: DLBC, CHOL, and UCS. By identifying novel mutation co-occurrence and pathway disruptions, we extend previous research beyond simple mutation frequencies, offering deeper insights into tumor biology and potential therapeutic implications. This comparative framework provides a basis for future in silico and experimental validation of these mutational interactions in rare cancers. 5. CONCLUSIONS In summary, our study provides a comprehensive computational analysis of the mutational landscape in DLBC, CHOL, and UCS, uncovering key oncogenic drivers and their functional consequences. Through mutation profiling, structural modeling, and pathway enrichment analysis, we identified potential therapeutic vulnerabilities that could inform precision oncology strategies for these malignancies. Our findings underscore the importance of integrating computational and structural biology approaches to decipher the molecular mechanisms driving cancer and pave the way for future experimental validation and clinical translation. This study not only reinforces known oncogenic mechanisms but also introduces novel insights into mutation interactions, highlighting their implications for drug development and targeted therapy. Moving forward, further experimental studies and clinical trials will be essential to translating these findings into actionable biomarkers and treatment strategies for patients with these aggressive cancers. Clinical and Therapeutic Implications : Our findings provide a framework for potential precision medicine approaches tailored to tumor-specific genetic dependencies. DLBC tumors harboring KMT2D mutations may be responsive to chromatin-modifying drugs, targeting the epigenetic dysregulation observed in these cancers. CHOL patients with IDH1 mutations could benefit from IDH inhibitors, which may help restore normal metabolic function. In UCS, the dominance of TP53 mutations (91%) suggests that synthetic lethality-based approaches, such as PARP inhibitors, could be an effective therapeutic strategy by exploiting vulnerabilities in DNA damage repair pathways. Overall, this study enhances our understanding of genetic interactions and pathway alterations driving DLBC, CHOL, and UCS, paving the way for future research exploring biomarker-driven therapies and precision oncology strategies. Further experimental validation and clinical integration will be essential to translate these insights into effective therapeutic interventions. Declarations Author Contributions The author solely conceptualized, designed, and conducted this study, including data analysis, interpretation, and manuscript writing. No other individuals contributed to the research or writing process. Funding This study was conducted independently without any external funding or institutional support Competing Interests The author declares no competing financial or non-financial interests that could have influenced the research findings. Data Availability The datasets used in this study are publicly available and were retrieved from GEO TCGA. Ethcal Approval Since this study exclusively utilized publicly available transcriptomic datasets, no ethical approval or informed consent was required. References Weinstein JN, Collisson EA, Mills GB, et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet. 2013;45(10):1113-1120. DOI: 10.1038/ng.2764 Cerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401-404. DOI: 10.1158/2159-8290.CD-12-0095 Kanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 2000;28(1):27-30. DOI: 10.1093/nar/28.1.27 Vogelstein B, Papadopoulos N, Velculescu VE, et al. Cancer genome landscapes. Science. 2013;339(6127):1546-1558. DOI: 10.1126/science.1235122 Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-674. DOI: 10.1016/j.cell.2011.02.013 Fruman DA, Chiu H, Hopkins BD, et al. The PI3K pathway in human disease. Cell. 2017;170(4):605-635. DOI: 10.1016/j.cell.2017.07.029 Kastenhuber ER, Lowe SW. Putting p53 in context. Cell. 2017;170(6):1062-1078. DOI: 10.1016/j.cell.2017.08.028 Dang L, White DW, Gross S, et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature. 2009;462(7274):739-744. DOI: 10.1038/nature08617 Additional Declarations The authors declare no competing interests. Supplementary Files PanCancerRscript.r Code.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6351659","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":436805414,"identity":"e8de98aa-ee6c-4ffb-9c15-c21d7121f701","order_by":0,"name":"Arshiya Akbar","email":"data:image/png;base64,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","orcid":"https://orcid.org/0009-0009-4627-0122","institution":"Independent Researcher","correspondingAuthor":true,"prefix":"","firstName":"Arshiya","middleName":"","lastName":"Akbar","suffix":""}],"badges":[],"createdAt":"2025-04-01 09:25:55","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6351659/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6351659/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":79739972,"identity":"bc80b634-813d-4a84-a5c6-22f3d9f0d04d","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":803086,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eA:\u003c/strong\u003e Oncoplot of DLBC Mutations: \u003cem\u003eThe top mutated gene is IGHV2-70, altered in 49% of samples.Other frequently mutated genes include IGLV3-1, KMT2D, BTG2, and IGLL5.Different colors indicate mutation types (missense, nonsense, frameshift, etc.).\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eB:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e Oncoplot of CHOL Mutations: BAP1 and PBRM1 are the most mutated genes (19%). Other notable mutations: IDH1, ARID1A, KMT2C, TP53.The high mutation burden suggests distinct tumor subtypes\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eC:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e Oncoplot of UCS Mutations: TP53 mutations dominate (91%), indicating its crucial role. Other frequently mutated genes: FBXW7, PIK3CA, PPP2R1A, PTEN. All UCS samples have at least one mutation, highlighting genomic instability.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/e2fe3ba5053bd79796fdb287.png"},{"id":79739971,"identity":"4ed334bc-76e0-4b47-8091-f9661a5d2cd0","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":48663,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eBar Plot: Mutation frequencies of the top 20 genes across DLBC, CHOL, and UCS. The distribution highlights shared and unique mutational profiles, revealing common drivers such as TP53 and PIK3CA, as well as cancer-specific mutations like IGHV2-70 (DLBC) and BAP1 (CHOL).\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/928092756696b5e6e68294d4.jpg"},{"id":79739974,"identity":"a9563d88-263f-4074-b757-76aa9f63a19e","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":58883,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eHeatmap: Depicting co-occurrence and mutual exclusivity of top mutations across DLBC, CHOL, and UCS. Co-occurring pairs (e.g., KMT2D–ARID1A in DLBC and CHOL) suggest epigenetic dependencies, whereas mutually exclusive mutations (e.g., TP53–PIK3CA in UCS) indicate alternative oncogenic pathways\u003c/em\u003e\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/0bc3186e9970535f4d460bc0.jpg"},{"id":79741121,"identity":"5652bfdf-30ae-4a14-a605-7619481ee88f","added_by":"auto","created_at":"2025-04-02 07:56:08","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":12689,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003ePathway enrichment analysis highlighting oncogenic pathways affected by frequently mutated genes in DLBC, CHOL, and UCS. TP53 signaling, PI3K-AKT, and chromatin remodeling pathways were significantly enriched, supporting their role in tumor progression and therapeutic targeting\u003c/em\u003e\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/0b83257b0db3ccec8fd0de28.jpg"},{"id":79739989,"identity":"1073956f-1692-4b16-a46b-5b0c5c7a2334","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":124252,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eVolcano Plot showing differentially expressed genes.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/e30a2dd98a76217b9a604f0d.png"},{"id":79739979,"identity":"4060a3d6-9c33-4dfb-8ad5-2d3a5df8589d","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":506381,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003ePyMol Visualizations for the protein stability and structure. [wild-type (cyan) and mutant (yellow)]\u003c/em\u003e\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/456ea193d67d8d75c6496502.png"},{"id":79739996,"identity":"1dd64543-d82c-47af-b9cd-76559c5919f0","added_by":"auto","created_at":"2025-04-02 07:48:08","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":29033,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eVenn diagram illustrating shared and unique mutations among DLBC, CHOL, and UCS. TP53, PIK3CA, and KMT2D mutations were common across cancers, while IGHV2-70 (DLBC), BAP1 (CHOL), and FBXW7 (UCS) were distinct, reflecting tissue-specific oncogenic mechanisms\u003c/em\u003e\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/18c3f174410100ccb96e51f4.jpg"},{"id":79742613,"identity":"187b44fa-4a1b-43c9-9b4f-0f843e63781b","added_by":"auto","created_at":"2025-04-02 08:12:09","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2427954,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/76c88eae-782a-412d-81bd-8effb278a8f7.pdf"},{"id":79741117,"identity":"3694b694-05a0-4f57-9a03-7b6668b493e1","added_by":"auto","created_at":"2025-04-02 07:56:08","extension":"r","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":1178,"visible":true,"origin":"","legend":"","description":"","filename":"PanCancerRscript.r","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/576a2b7ddebeacd666bad4f0.r"},{"id":79741467,"identity":"79375d3e-b551-4c8c-9d08-539468fe5810","added_by":"auto","created_at":"2025-04-02 08:04:08","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":14770,"visible":true,"origin":"","legend":"","description":"","filename":"Code.docx","url":"https://assets-eu.researchsquare.com/files/rs-6351659/v1/d42c33f50363c9e62b5cab3c.docx"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eDecoding the Most Mutated Genes in Cancer: a Pan-cancer in Silico Analysis of DLBC, CHOL, UCS\u003c/p\u003e","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eCancer is a complex and heterogeneous disease driven by diverse genetic and epigenetic alterations that influence tumor development, progression, and therapeutic response. Large-scale genomic sequencing efforts, such as The Cancer Genome Atlas (TCGA), have significantly advanced our understanding of the molecular mechanisms underlying different malignancies. However, while individual cancers have been extensively characterized, comparative analyses across multiple cancer types can provide deeper insights into shared oncogenic pathways and potential pan-cancer therapeutic targets. This study focuses on three distinct malignancies\u0026mdash;Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS)\u0026mdash;to explore their mutational landscapes and identify common and unique genetic drivers.\u003c/p\u003e \u003cp\u003eDLBC is the most prevalent subtype of non-Hodgkin lymphoma, characterized by frequent mutations in genes regulating B-cell signaling and epigenetic modifications. CHOL, a highly aggressive malignancy of the bile ducts, exhibits recurrent alterations in chromatin-modifying genes and metabolic regulators, such as IDH1 and BAP1. UCS, an aggressive endometrial cancer, is primarily driven by TP53 mutations and PI3K-AKT pathway dysregulation, leading to its highly invasive phenotype. Despite their distinct tissue origins, these cancers share common genetic aberrations that may reveal new mechanistic insights and therapeutic opportunities. By integrating mutational profiling, co-occurrence and exclusivity analyses, and pathway enrichment studies, this study aims to systematically compare the molecular landscapes of DLBC, CHOL, and UCS.\u003c/p\u003e \u003cp\u003eThe rationale for selecting these three cancers lies in their shared involvement of key oncogenic pathways, particularly TP53 signaling, chromatin remodeling, and PI3K-AKT signaling, which are frequently dysregulated in various malignancies. A comparative genomic approach allows for the identification of shared oncogenic drivers, which may serve as broad therapeutic targets, while also distinguishing cancer-specific vulnerabilities that could inform precision medicine strategies. Additionally, analyzing mutation co-occurrence patterns can uncover potential functional interactions between genes that contribute to tumorigenesis. By leveraging TCGA datasets, this study seeks to bridge the gap between individual cancer studies and a broader, cross-cancer perspective, offering insights that could contribute to the development of more effective targeted therapies.\u003c/p\u003e \u003cp\u003ePrevious large-scale cancer studies (e.g., Bailey et al., 2018) have provided extensive cataloging of oncogenic mutations across many tumor types. However, limited studies have specifically compared the mutational landscapes of DLBC, CHOL, and UCS, despite their relevance to hematologic, hepatic, and gynecological malignancies, respectively. Our study aims to fill this gap by characterizing both shared and distinct mutational patterns, offering insights into potential therapeutic strategies for these rare and aggressive cancers.\u003c/p\u003e \u003cp\u003e \u003cb\u003eObjective of the Study\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eThis study aims to comprehensively analyze and compare the mutational landscapes of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) using high-throughput genomic datasets. Specifically, we seek to identify frequently mutated genes within each cancer type, highlighting key oncogenic drivers that contribute to tumor progression. In addition, we examine mutation co-occurrence and mutual exclusivity patterns to uncover potential genetic interactions and dependencies, which may have implications for targeted therapies.\u003c/p\u003e \u003cp\u003eBeyond identifying genetic alterations, we explore the functional pathways disrupted by recurrent mutations, mapping them to known oncogenic signaling networks. Finally, a comparative analysis across DLBC, CHOL, and UCS allows us to differentiate shared oncogenic mechanisms from cancer-type-specific molecular signatures, offering insights into potential pan-cancer therapeutic targets as well as personalized treatment strategies. By integrating these approaches, this study aims to contribute to a deeper understanding of genetic drivers in these cancers, ultimately guiding precision medicine and biomarker-driven therapies.\u003c/p\u003e"},{"header":"2. METHODS","content":"\u003cp\u003e \u003cb\u003eData Acquisition and Preprocessing\u003c/b\u003e \u003c/p\u003e \u003cp\u003ePublicly available genomic data for Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) were obtained from The Cancer Genome Atlas (TCGA) via the Genomic Data Commons (GDC) portal (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://portal.gdc.cancer.gov/\u003c/span\u003e\u003cspan address=\"https://portal.gdc.cancer.gov/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). Mutation data were filtered to include only non-synonymous single nucleotide variants (SNVs) and small insertions/deletions (indels) to focus on functionally relevant alterations. The dataset was preprocessed to remove sequencing artifacts, synonymous mutations, and low-confidence calls using Mutect2 (GATK v4.1.4.1) and further curated for quality control using Ensemble Variant Effect Predictor (VEP).\u003c/p\u003e \u003cp\u003e \u003cb\u003eIdentification of Frequently Mutated Genes\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo identify key oncogenic drivers, we performed mutation frequency analysis using the maftools R package. Genes with a mutation frequency\u0026thinsp;\u0026ge;\u0026thinsp;5% in at least one cancer type were considered recurrently mutated. Pan-cancer comparisons were conducted to highlight mutations shared across all three cancers as well as unique alterations specific to individual cancer types.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMutational Co-Occurrence and Exclusivity Analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo investigate potential functional interactions, we conducted co-occurrence and mutual exclusivity analysis using the CoMEt (Co-Occurrence Mutual Exclusivity Test) algorithm implemented in the maftools package. This approach identified gene pairs that frequently co-occur or are mutually exclusive across tumors, providing insights into collaborative or alternative oncogenic pathways. Fisher\u0026rsquo;s exact test was used to assess statistical significance, with a threshold of p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 after multiple testing correction.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePathway Enrichment Analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo determine the biological pathways affected by recurrent mutations, we performed pathway enrichment analysis using Reactome and KEGG databases. Significantly mutated genes were mapped to known signaling pathways, and enrichment analysis was conducted using clusterProfiler (R package) with a false discovery rate (FDR)\u0026thinsp;\u0026lt;\u0026thinsp;0.05 as the significance threshold. Key dysregulated pathways were visualized using EnrichmentMap in Cytoscape v3.9.0.\u003c/p\u003e \u003cp\u003e \u003cb\u003eComparative Analysis of Oncogenic Mutations Across Cancer Types\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo assess similarities and differences across the three cancer types, we performed pairwise and pan-cancer comparative analyses. Mutations in TP53, KMT2D, ARID1A, PIK3CA, IDH1, and BAP1 were specifically examined to determine whether they were cancer-type specific or shared across multiple malignancies. Venn diagrams and oncoplots were generated using ggVennDiagram and ComplexHeatmap packages in R to visually compare mutation distributions.\u003c/p\u003e \u003cp\u003e \u003cb\u003eStructural and Functional Impact of Key Mutations\u003c/b\u003e \u003c/p\u003e \u003cp\u003eTo predict the structural and functional impact of highly recurrent mutations, we employed in silico molecular modeling and stability analysis using:\u003c/p\u003e \u003cp\u003eSwiss-Model for homology-based 3D structure prediction of mutant proteins. PolyPhen-2 for functional impact prediction of amino acid substitutions.\u003c/p\u003e \u003cp\u003e \u003cb\u003eStatistical Analysis\u003c/b\u003e \u003c/p\u003e \u003cp\u003eAll statistical analyses were performed using R (v4.2.0) and Python (v3.9). Categorical data were compared using Fisher\u0026rsquo;s exact test, and continuous variables were analyzed using Wilcoxon rank-sum test. Multiple hypothesis testing corrections were applied where necessary, using the Benjamini-Hochberg method to control the false discovery rate (FDR\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e"},{"header":"3. RESULTS","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003e3.1 Mutational Landscape:\u003c/h2\u003e\n \u003cp\u003eTo characterize the mutational landscape of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), we analyzed the frequency and distribution of somatic mutations in each cancer type.\u003c/p\u003e\n \u003cp\u003eTop Mutated Genes Per Cancer Type includes, DLBC: The most frequently mutated genes were IGHV2-70 (49%), IGLV3-1 (38%), and KMT2D (32%), highlighting the role of B-cell receptor signaling and chromatin remodeling in lymphomagenesis., CHOL: Key mutations included BAP1 (19%), PBRM1 (19%), and IDH1 (14%), suggesting alterations in tumor suppressor function and metabolic reprogramming. UCS: TP53 (91%), FBXW7 (39%), and PIK3CA (35%) were dominant, indicating defects in cell cycle regulation and PI3K signaling as primary drivers of tumorigenesis. Mutational Landscape of DLBC, CHOL, and UCS\u003c/p\u003e\n \u003cp\u003eTo characterize the genomic alterations driving Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), we analyzed somatic mutation data obtained from The Cancer Genome Atlas (TCGA). Across all three cancer types, we identified a spectrum of mutations, with TP53, KMT2D, and ARID1A emerging as the most recurrently altered genes. TP53 mutations were widespread across all three malignancies, reinforcing its central role as a tumor suppressor frequently disrupted in cancer. In DLBC, KMT2D mutations were particularly enriched, consistent with its established role in epigenetic regulation, while in CHOL, ARID1A mutations were significantly overrepresented, suggesting possible chromatin remodeling dysfunction. Additionally, PIK3CA mutations were highly prevalent in UCS, implicating dysregulation of the PI3K-AKT pathway as a key driver of tumorigenesis in this cancer type.\u003c/p\u003e\n \u003cp\u003eA comparative analysis of the mutational spectrum revealed both shared and cancer-type-specific mutations. For instance, BAP1 and IDH1 mutations were primarily detected in CHOL, highlighting a unique metabolic and epigenetic vulnerability in this malignancy. In contrast, PTEN and KRAS mutations were significantly enriched in UCS, indicating potential activation of the PI3K/AKT and RAS/MAPK pathways in uterine carcinosarcoma. These findings suggest that despite shared oncogenic mechanisms, each cancer type also harbors distinct genetic drivers that may be exploited for targeted therapeutic intervention.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;\u003c/strong\u003e\u003cem\u003eCancer type and their gene implications\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n \u003ch2\u003e3.2 Mutation Co-occurrence Analysis:\u003c/h2\u003e\n \u003cp\u003eTo further understand the functional interactions between mutated genes, we performed a co-occurrence and mutual exclusivity analysis to identify potential synergistic or redundant mutational events. Our analysis revealed a strong co-occurrence between KMT2D and ARID1A mutations in DLBC and CHOL, suggesting a collaborative role in tumorigenesis through the disruption of chromatin remodeling. This association is consistent with previous reports indicating that mutations in chromatin-modifying genes frequently co-occur, leading to widespread epigenetic dysregulation and altered transcriptional programs that drive malignancy.\u003c/p\u003e\n \u003cp\u003eConversely, we observed a significant pattern of mutual exclusivity between TP53 and PIK3CA mutations in UCS (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), indicating that these alterations may represent distinct oncogenic pathways driving tumor progression. This finding suggests that tumors harboring PIK3CA mutations may rely on PI3K signaling for survival and proliferation, while TP53-deficient tumors may follow an alternative trajectory involving cell cycle deregulation and genomic instability. Similarly, IDH1 and BAP1 mutations in CHOL exhibited a strong correlation, supporting their involvement in metabolic reprogramming and epigenetic dysregulation, which are well-established hallmarks of cholangiocarcinoma.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2\u0026nbsp;\u003c/strong\u003e\u003cem\u003eMutation Types and their biological implications\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg 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5QXTK4tlv7Zml7Hf/8xDTVA4j9f0olSeXxh4yCL1cC8GaYF+Hjze3VuUe2Y6zr2AV2RgCk4E6eH+6TrK5CxG8+FH8Qj5FO59RF/oenkWFXKpyGC4CRcPUYe+8AmGeLjf3DEnuau2ZO+bCCKDTZldLQc/Z6nIFhM1ASk8w67s28XyKQe3Lmfr5bd4iTbtH6zh/MQG/KL6iR673uKvUa7AJf99aem06hTCvT8BTiasH/Ar6bNmJ1OmbFSfdAwHbz/t9Bwvbx/81O4cGl2HLBnTk+77IgxZeR7XiGAB2X4E+Ou2iz8r761WlmlE0PElICiYa7Makb3wb4w+7UxMeIAukIqAqPbzwz8ggABh//irAJpQol1uM6FtMX4sOpJHjmpClDP4rnaYPLzNvecWuIkgqGv8ypmdhH3oflMX6DyUgYU2bRp8fMSAQSOOUfs74rP4/U8uK4oBhY+LNU/u3+DqrXtc3reGdkV/oEi7Cey7/Ihb167z2MQO30A/fOO/K45V6Zz9xQDIV7t/kQ7tvr3FcSX6Le9EvyPs7avB3z/hmLVXJhKtl/7y/vtn7kV98HLC9Nl9rl29yZ1LR5lukJsfyxmw4MBN7t+8xq0HL3EW7cZP6eTir0YpZS/K1l/tq+u0/MV6Af+6eqKUubK9zycdl9K2NPr6EiC2V3/jg4UUw70oN7VoyybHplA++3dkLtmWJQcvcOP6DW7cuMapnYuYNX8B518HCfBQvuOlhbZP4ovS1kRZKWcO/cQytWi3PiJWabcRMezTs5Hi+0pb/fh9Xdz4JE3CXj6izGxP0bZMIfL/1pHtN29x7/YdDsxvR/Z0P1Fz8A4cRJxT+4rfFOWrLWdRDzQC+JV6oEx/sHx+n9sPjbF1Vc7Civqg1BuNr4hbuviixFYl3Z+mR388SdLzNTo1cB8Q6s3TU3MpqfqRFpPX88Dclle3jzG1fUFU6euz9pINwUE+mBvd487jl7xz99Hny6flp+ujdL+tg/velM6bjkGJ4F5psx/borCfaMefnn1X4Fv0KfH78/VFrRF/K2Ul4ryL7Vvu3njASysXUXbxdUn3ncT1SNf/iT4jyXIfkTfxcF8216+0GJEM3PuH4Xp9EXV/+4UC3XcIuBdp0NYtkV5Rp3zE39p9KvVZ2xcm6Y/Eb2unMom6FRCg1HnRBj7mky7+fIT7TrnIU60Ve16HEKLxwMr4PvfuG2PvIfpffd1TYpvy29o80faFuuP2TlLfdXHNi4CwD7zePYqy+dPRbM0z0beHaGOig5kxd+/c5629u8gf3T6U8ki8j4+xU5mapG0nShmJ8hbp1aUhoV3F55e09LfiVMH9hr6F+L5kNeqUKkHJX7tyxtoTtWg8Pr4Cri2O0bF2MYrXr0f57wozYNV53ATcu1m/wsj4JZbvXLVTFJQ5r45WL3n28i32AqZszF6yqnMx0uUtRr8N13jx2kwsF/v19cDW9CVPHj3k0eOnvDSzx1sEHw83d+yurqVN1ex8X6QPB6485I0I6O5ertjZWGJh66QbRGjhSS0CqhnPHz/i0aPHPHtlhZsyd1Vp8B5uOFiJtL2wwFUc4zsRPJRtTExtcFOm4XjrbxLSWrnnQOwvMIiIDxBgfpNhZVSUHroJi0CIDtVgb/ac528tcfIQ+1byTAQxVycbXjx+jsU7B2zEsbx8Y4mHrxe2b56L33qCyVtr3H00urmhSpAXgcrLRXzn6UMePHyM8RsbMZiJD8IJ5SH9Zf234V5YNzUskJCI93zwt2f34Pz8UHMAJ60i4X0Ivs4WGD1/hdU7N11HLjprL3c3rF8/wdjUCmdHO168eIHZO9Ehu9ti/OQhj5+aYGHnjp/+fhUvUVf9RTuwEvXl4YMHPDZ6IQBPGUiLwUEyafoWnFK49/INxNdsPx0qZiNL8Y4cee5KYGgooQIOgoMFfAT64uHqhIurUt5K2fnjbm8uYoPS1p7w0lyJLzqYcbGz5OUzY+zcvHG1eSNi0COMTExx9hBwJdZ7iP81YiDhJQb8xk8eie8/EmVqg7uIk5ok843j4d6gZCGKVRqHSXgE7yOiCfa9Rt/f8lGkXB9uugXiJ2DJ1PgpDx+KePfUGCsnd3w14jdEPXCys8DSxlb7+97uDrwR9ea1hQPubna8NDLB0t4F38AAPB0tMHn6SOzjEc9fiVjkrhzrp/n0NfpLwP1vylnddZcR4RjiPDgxrSaqTI1Zf82WwCA1TrbmWNra4eKugKeXdoDk5WSFybMnPNSW72veeQig9RNQmBTuBdwq9z34+bhi8fo5j8X2j58Y8dbOVdQjPy24ewiY9BP9k6ud6G9EnXj09DV2Tq68s3jOs7c2uHp4ifrngKWFNfaObiIeiLJR4DRAI+qb+I6RSIdSbi/NcXRX6pknjjZvMRJ910PRFzx/Y4Wrl0ZAuehr/gbcu3r54e1sxxtjI8wcPXBzsOSZ2KfRSzOcxf4CA32weWvM48ei7xP9jdLPqX09cba34JnRa+zFgNLTwUybjqfG4phcvUSaBaS7fQr3wWLA7GRrjZW1rRhQKGlRBtuCC9zfifr6TOSZEt9eYO3gKmDbB0/Rz71U8l4c85PnL7Fx8cFfDBAc7O04OKEZ+bL+TIMZR3hi/EZ8xx1PcQxWVhaCDQS4K8epEeXh7YT5q2eiLxXl8fQ5ZgL8NUp5KG3UxQFTEyPeiPjr5SpirWgXSny1dhTtSq3WtquEeiQt/d936uC+dx5UpfuydGJPqpfISbftL/ETHZAmOIgn63pTuWJlxq2eQWVVIQasvojP+wBuLajD93kqM2bXSyJDxUjay4mzUyuRroIBW+88YOWAhmT/5RcyZM5C9mxZyFZ/OOeM3TA7NYemZYtTqFBBcmVOT77K7Vlz0xqbB/vpWTIz6TNlJlPmrGTJXISWg3fj7HSOHnXzkc1wjQAgf8ICPHl5ewc96xQnc5Zs5MyWkYy5qzJk8TmsPTVE+dlyclZ9MUBoxqTpcxjYpDRZflaR/rcmLDljhJdfQLJzIn0DQnAzvsDAUipKDljNC+84guyNmN8sIz+U78X+x56EBvkTEuTEtQ3dyZ6+BkvP3GJDl+qUq9SKhRsWYFD1NzL9qCJj4frM3X0HVxGolBu+3F9dZkH/OhTKm5cCubKRu0Qzpm6+jbMyGJGA/485JXAfby/l6o+rKVv65eOH6n04+NKPmGBPHm3rRQZVEQYuuYBXWBDKGVaHF6fpVOAXao/cyqu766lYrhi1hixj/Zi2FM+bUTtVo2K7mVx67SY6OtHmvK25sHkiNX8rQN78uciWoxAtByzgno2oh77fJuCnDO4FrAUF8XhlN4pmTU/H1U/FQFyZ9uCNf3AoEVFRREZFEx0VTqBGALLaD/tHBxnXoSL5cuclX87s5K/UmRVHn+MfI/azZSJVMuSg58z5jOhcl/wZf+LHDMUZsPIi77z9CRRA5mp+lend6lEod25y5cpJ3tJ1mHLkHk5ivXIjdXzaPsJ9qUIUrTCCB8oZS3UAQQGPGFKqMEUq9OWG/Rv2TW5H+cL5KZAvN5kzZaFmjwXct/EhSO0sICoP+WoacMAsmgiHkxhWKkPFVtNZPrEhP6vyMGH/I+ytLjK9R03yZ8tG3rwi3hXuypGX9gKwvv4pDKmH+3mUFnBfu+8Udp8+x+6V0zCoVpYey45g5RNBoKsVK1pmIl/DXpy0CCcs2B9no+PM7F6dHKIfyZM7O+myFKDltM3ct/IkLCyCR4ngXh0UhsbpDaeX96VcPtFH5cxJ5vQZKNq0H5tuK/Av6oSfF5aPDzK4UXF++vFHkf9V6dZzAB3qZCBX52WYuAZgdn4KOX8px8g19/APD0KjEX3UxY30b1qMjOkykT1nDgqVacdRay9s7+ykR72S5C+Qn9w5spA1f3Um7bmBq38IrkZ/He49gz5gf3ktrYp8T53h8xnfvz2FMv7IjznKMXjjee6cXEWXWr+R4afvyFCoEQtPvxJ5qubxwdFkz1yVodOWMHNAHVGvfkH1U26aj9nGc0cNQb5OH+F+75twIoJsWWdQgd/KteS4tXLfiz+Or66zclRTCmRJR7bcucia6TfG73uAi9tLVvRrRNHChSgo4lqGjPlpNXYDpu7WHJjdjbzp05Exc2ayZs1ClnJtWH3dlZdrOvFb4dxMOGuvbdNqexMOL+hKydyZySHan5J/JQyGseuBDYEhUbg+OkqPEt9Tofc0Zo7rR+UCmfnhhwzU7rWcJ3beglv+Tj2Tlv76nbppOQrc/9qTQ+dO0F8EhBKtFmApYDdS/ZyJbSpQxnApVy/9TgVVfvqv0sH9zXnVUWUXAW1HAtyfnlSWH0o2YfVtG6zvnmNyi6JkyFMYw0kbOHLpNubvXLi2ahyT563i8PkrnDk8n+bFs5Ov2nhuWljweO80GpXPyS/5W7Ng/T4u3LfBz/oYHWuIRt56DY7qQBwebKFl8Z/IVKEFU9bt5uDedYwRacyoyku/HQ9F5+rM6XmNUf2cjgr1erB40362LB5DjVwqcjQezQWLQII1n4NeUrg39vjA+0BHLq/qIvZdiHHbbuET9V4AvzFLWogBSIMxXLOxZ2f7cqJDyEu1NgNYuH4nW1dOx6BYOtIVbsy6+5588DJibqey/Na4L+sOnOf6xVPM6VmV7CIIL7tpg1rOM/zH/EXh/oWaqLAA7I0P0z6niqJdZnHfNYJoAfxP9vcjo+jcJ+5+i5/xcsoWyUTG4lXoM2I+W3duZ/7w1mT7IRPVeq3HLiyQJ9tGUKpINQYt2MaF61c5sWYcFfNkoNLYg9h7fptXdFIG9wLiQz05McaAolmKsuz+OwFO/sL23Di4lUWz57BwwTzmrd7D7TceBNpeYmijYpTvMIHdxy5x9exBRjYvRq5izTlq74fJtklU/PE7Mldoxshlm9m/ZR6G5XOjytGSPUbOBLmKttqiCmVq92fjiQsi5h1lVveKZMjXgNVXdWeK49tqPNy3KVmIXyuP53V0DHFRQbw4Po1yWTNTofterC2us2bGcOZtOsjFK+fZMqs7BVWZ6bT4JC4BarZ2yE7OKq3Yp4X7U7SrVIh02X6jQRNDho5ZxvnHz9jWswxZc5dj1KoDnDqyg6XT1nHdzE4MZL7+aQiph/sFVPrue9LnzEOBgnnFgEfFDwVqMHbnZezcAwh0s2ZZ01/IWbc7J21iCLO+zNDaeUmfrTwjFqzn4L4dzBnSnMw/ZKHesF24RcZitFYP90dsCfd35fTctuRSZaB+t4ls3XeQHb+Pp7Zovz8X7yH6Cl80tjcZUTMb3xWswYC5mziwbx0TxcAwt0hLnm56uD83kSzfl2T4qnsER4dh/2A99fP/TLbi9Zm0dAO7dm9lzYqtPHFz4M7R9YwVML739HmuHN/K8Np5+LFUO/Y/88b39aa/B/eXVtOioIqf89an34x17Fo/C4MKoj7nKky5am2ZvXI7W+YPoUIeFRnqT+OpgyfPjk8kd7rMFK7WjKGzVrF71zpGdajJL6L/7LriEq6iP9rR+VO4X9OqNEVKNuO4bQjhHo+Z2b44P/xUiM6jZrNl717WL1vO8QevsLC4wqzBk1m58wiXL59m49AmZMhWkD4b72D76gEr+tYjb/YMVOm/iN0nLmLi6MeDxQYUyZeNsefdiPR7x/5JzciiykKzvtPYsf8gWxaNpHK+DGQqP5g7TqF4GB2jp+ijf8xWmfZjlrL7wGYmdK5KelUuBm29imtgsHYK7af1SVr6v+vUw33Rzhx45Mid2Q3JW7w2616F4Xd3GXV/zc/gw0a8urmScqp8H+H+1vxaIohUZPTOBLg/M6UCP5duwoq73hAdwfmxlchUuDSTL7sjogS+Pr54uTlh+vQCm5YvZOqYPtQqJAJJwcYcsA4H9+sMapqPH0tMxFgEzTAB0+Gmh+koAmCWtpvw9rTj0PRGfP9zeeacNSUs+gORMbGEvjlGj/IZ+KXJYszs7Ti/sCGqDOWYe0SkTbmc62fH7oFFURXuxO7bToQHfv4ki8/g3i2SkLAgXJ4eoWthsWzIRiz8onC8t5lqmfPRbeklfCLcWN+yOJkKVGDhDXGMMVG8jwrmxY4+pE9flF4rnuF0bSYV8v9EvlqdGTF8GMNHjqGXcjUh88+0XPUk9Td1Sf+hvzTchwUGEuRlzf6J5VDlM2T7PTei/C1ZY1CI/A2Hc805muB7CymRPxsl2i7FLDCaD++jiPA2ZVrtHOSu3I7zr54xtU1JfspYjq6DhjJs+CjGDGgrvpORDBWn8Fx0wOpv8LFwSlxKGdx7cWJsG4plLcHKB/YC7IMICjNlWdvqAkj0N7FmrsXi887Y7O9F3hwZKNW0N6NGDGPYiFF0rpGXX3IVYtQFR17vnEKFn76nyaIreIfFicDgz5VlvQVw52He1ReYXFxKWdUvlG7QgSGjRzNq5BC6tq7Ad6r8DFl9CY9IEcP0adPB/Wk6VCxM1uylMejdhz49OlBJlGOmsh3ZLmJpgK8GD8e33Di5l+VzpzK8W3OK/KCi8uhNvBbxbVdXEfuqt2G/AveOp2lXJg+Z89Vjw2N3YhGw6u/IGsOiZMxRgmEbr+GiCSXmfZjuPqdP8unrtFLOqT1zX0r1A41GL+XiIyNunt7JJAFy3/+Ym8E7H+Dm6cLqVhnIW78n5xzAbHMXcmXLRPslNwiIEnkaEUmEjzkzG+Yme5nmHLCJ4vXGPlq4H3baFfXL0/Sq8APZGk7hsXMI70VbjY0N5/bqART+5Wf677/HwxNzKKzKRqeFZ/H5IEJ8bAzqt2foU+ZHsnZcqj9zP5nsP5Vl5NoHhER5c2yE6PfylmHOGVsiPkQRFhxCaGgIfr6i3nh7YGN8m8OblzJ9wjDa1sqHKmN9Vpw2x8tsK+X+FtyvoVl+FUW6b8TaL0bUZy9OLewi4FhF88WijkeJRUFvWNa7DN9l787lt/Y8Oy3SqsqK4YwjuL+HOHE8mjdn6VlcRY5Oi3ls68ve7rk/gfu1bcrxa5mWnHELx1YMXivlVFFv0nGcg0Uei+MKCQslULkXxMcTF5u33Dq6ifmzpjKkQw3Spc9Lo2FHREtDm/e/5kqHwZZX2kfYhoSGcWuBIb8WzMnk635onu6lbYnvydNmIa88w4mKjCT2QwgX53cmf7qMDDtpjZvRKXr+piJ3y0U8F320Iodb22icXUWNaYew9ArTTqH7tD5JS/93nXq4L9KJ/Q888HuxivIiwPRafIzD89uSv2gPrth7YHZ7GWUSwf3NeTVQ5a7EmF2viVLg3tuF89MqauF+5V1PokP8OD6iApkKlWLcKTsBRv74erxhx6g2lCtViqp12zNsfD8alcpPviIN2WcZRIzdOfo2ysuPv43hvrU7mqAwwsyO6OC+3WZ8HU3ZMbKMGIj04+xzTxF4fPDwCiBabcKcHpX4vsBQnpqbc35+PVQF2rL9hqNIWyDh3hYcmiTSW6gDe+84/kW4jyBA40+YxpLtY2qToUgvLr1y4PbK5mQs3oIND3zEMdqwomkJfqvSlvPOwfj7eOMngpzd/SUUyPArvRc/4Nn+kVQUwbBKp8nMmTOXmTNnMHveIpat3sCxu1baGyvlmft/xl8a7kP9fPAP9sP80gqqZ8zBgC23sbc4TqN8hTGYfFK0iyi8b87j12KFqDv1KiGBagGBvqKz8WZvj/zkqmbAsWtXGdZcdOjFmzN1+izmzp7JjFlzWbh0BRv3XsHGVYEieeZeZy/8ggO5uaAzBbNkotc2YwKCglD7umL1+gUv7l9n54SaqPI3ZtUVV54sbUmhnBlp1HcO8+fMZsaMGcyZv4jf1+/ihqUHRlsnCrjPzLgTz/D0DyYo3I97q4ZTNl0u5l4y4v7RCWT/MT9Nu45k/qK54vszxfcXsnTpFi4keQSwDu7P0KlKYX756Wey5y9KuaqNGThzHReN3hEQEYL9/QOMaFqKwr9Vo1W3fgwf1I1SP4tYMHoLb5LCvcMJWpcpSsmmCzH1D0At8ki5sdbm/i4GihiTQ9SxMuVr0X/hYcxcfD/ewPg1O/Vwr5tz32XFKS2IChTF+c4umguQy9N3Ay9sndlgkFEH945wf14TChfMzbQbngQr97coD4TQqLk8syK/lKjJ0gfBmG3pq4X7EWfdcXpwkA4FRHlMO4KNbyT+Arx9xIDc/cYSGpb8gXrzT3N151DS/VCFeftNCIr0x1sdQpDNTaa1/JmMbZckgfuHBEXZ83vDohSvbMh5l3CC4u/V8FYT6GPH2VUjqVqiKBXqtaJn/+H0EduqMtRj5SlzPFMC9/lUNFxyGQefCCKiXTm1uC/5BbxPPPkUz8AIIv1NWTWsPj/n6MlVUweenRhLxh8qMX3nM93xaMTx2D1gbquf+aXVXO5beAi4z5MM3LfivFcQD1cOptSPmZl+xQJ1QKD+JmEv7T16lje30LF6GUpXrE7zbsMZ37U+WTKJ9jT0sBgYxfBkVQ+KCbhvtfax9gZiv6BQbi/Uwf3UmwE4Xt9Eizxi4CAGJo7qcNReuvJwPD+Nar/+RKPVJrg+PUWPYioqTdiHmVcEwSERON7ZS8ciKqpNPiLhXvqb8xeA+47suefGewGzS9qWoEylqtSsWIS6Yw7gKEbYptcWUVoP974C7u8uqIMqW3nG7n4jgm4MEf5O7OhVhJ9KJcD90aHlyFi4DFMueyCG4LhcnELRXJmoOHgvHn5hRIY+Z3KjUuTKW4+9CtyLzrJ3w9z8WHKSgOsAwt6LTu/jmfvN+LhZsm9SdVSZG7Dmhh2R0ZGERcXw3u4yg2vl4Ic6c7C0s+HCvLoC7tuw+do7IkKDCPMyZ/+EKqgKd/x7cO/riSYkDPNTC6iZLx/Dt+xlYoPSVOu6lLdi4BHka8XK5iUoULIlB0wDiY4UxxQRgMmWrvyQoQj91phgfnQMpXKoaDz3On6RHwgPDSEsPAy1pxvuHu6fpUP6y/nLw71oW2pRn5weMrN1IQp2WsbepT0pUa4eq0SdD1Wew35zPsUL56H6iAP4hUcRHi46IM9nTK6SndyVOwvwu82Ixvn5vuRg7jiIOhMVTkhYBGFi4ODm5v6fOCObEqcM7sX3NEF4PNhIg8LpyFl5KFfsPEX7ieR9rAJ7EZhsNECVtyErBdy/XG1Ajhw56KOcGYx+T1hICKHhofi4u6EJ8+fRpvFU+DELY48+xsM/SMC9hjsrhlLml9zMu/Kch6emkUOVmx5LL6IWIBkpYmq4iB9qbzdcXOOf1KXzxzn3pQtRuOxArtg74uLojLuXGv/AYCJ8Ldg9WcQhVUUWnTYhhCgc7u6gUToVFUYlD/etyv5K2dZrsFHHP+bQQ/uCwWCNG1bPzzClfWUyZ8pOnx1P8BT182u/4vfF4H75KdzexxEXp8D9blqIeJqnz3pe2HwK9y9WGJInZ1b6bDUmJDKS0FABp36OrGxXgCylmrLLPJa3m/Rn7s+44WV0nG6/qSjQaSmvPCOJigjjfcwHjHeOoWTmH+i5/R43D44js6oIwzffJShW9DXRMWhen6JfWRVZxPc+h3sXNrb+lezFarD+qYYP70X5iQFp+IcPuBudokteFfnaC4h2jIYAB05MrorqpzqsPJ1yuG+06DLvFLh/78KJhb3Jq8rGhGOP8FDg3u8tK4bW5eecerg/OZ4s3xdnyMa7BIo++X10NN4mp+gmgDl358U8sfX+Q7g/5xmC8foRlBYD1A7r76EOjyYsOEgbv0I0jqwzLEiGQtVYfsuLiIhwnE+PJU+2PDQafEgL949WdKNoznQYbn1FpHLmPiw80Zl7f7zu7aBNYRW/9tuEpTqKCNH+3n+I4v7avhTNnI5+h+1wFXnYXaS14phdvPUM175EzuHWLtoXUlF9ioR76W/PXwTud912hkgfnu4frp1TqMpQh+UX3hBOEC8v6+C+30oB97HBmB4ZIYJeZmp0n8eFx/c5t3km9UXQ/LF0c1bd08H92QmV+DlrXjrP3c+t5xY83z2EAjkyULrrYh49NxbfGU0F8Z1sRZqw3yKQGOfL9GuQH1Wu5iw/cIWnJjaorY7TWYF7g3W4+Pnx+tRsyqZXUbDNSHZfeciTx1fZMKKF6JSz0HbNDfzUzpydVeuLwb2nbxChjjcY2+I3CpevSJHClRix35SwING5+1ixzqAM6X7JRb2BS7n44DF3z22iuwjAPxVqxuYnGkKsjtG5QmZ+yVWPJfsv8NDoIVdO7GL2jM08sXNGvrjjn/M/AveePgIKPbn8e29+LVCaiiUKUa3jciyVp274BeJ5exHlCmYgS+F6zN1xUdTPe+yb34GsP/xMtf47cAx349CEFmQQ0NJo4jou3XvKwzuX2DlvKluvvsBFeXHbNzhNK6Vw7yVAzy/AmYsLe5D3ewFiDQewbu9hjh4/yekD25nZ4VdUWWqy8LQDAS83USfvT+Qo1Y5Np2/w2OgeZ/dtYd78fdiE+vN08wQt3I85kgTuf87BjCtvcXx9lq4Ff+a70i1ZsP8qRk+fcO3wMuatWc9182D9ozb16Uo0575oxVE8DQgkyE+tfXKYp1gX4f2GzSMEuKnKMH7TeYyNrrBsYHMyirhabcwfw32Zlquw9hVw7yNilMdzjm7Zw4nL9zF59YKzy3tROKOAuWU38RCxO+njdr82fwm4V6blNB6znCtGL7l/8QAzutcQeZqdvhtu4+bhqp2Wk0fA/Wm7WAKNd9C40C9kKdqKdSev8fjhHQ6vHErBn9JRs/cabEPjeBY/5/6Y6Bt8zFk/sBLfK/drzd3BzUdPuX9uC50r5+HnPK04ZurGu8c7aZRdRc463dl45j6P755l+Yi2FP7xB/L1iL+hVoH7MoxYe5/g6GCMtw8gz08/U7rlBA5duMHtOze4eu02D67s1d6vk7vxWI7cfs29o7/TqfQvqDI2SBXcN1x46TO4H3/0D+D+1FTy/fw9Bep2Ye2xOzx7eInfBzcQeZqVnmuv4Obny/Ykc+51cN+Ck46iTzTeT+cyv/BdvhYs2XGCm/fvcfXcOe4bP2FJ8zyky1ueabufYPLwNHPbl+GnH3LQbPgRLdy/2NCTQlm/o+qg1Zy7Y4SZg5r7S9pq4X78RU/ee5qwqGspkZYiDFu6j9uPnnDn5Fpal8pOpqKdOW8j4qvRCboWlXAvnXacQrgPINDpOas6pUeVvRVbrzsQ/V5A7qvz9M2rIlPzSdx+F8KHKF+eX5hDQVVGui45jUdMON7vHrCwXWXdTU5ZC1CzRS/6N8uNqlhdltzyEHDvj/XtlbT8NZ1orGKbuiM4c+0mKwfXJJ34nC5/aZr170TtAjnInKM6O9/4EB7kwsnf+1HgJ2UubW6a9N0mOoeTtKsg0tf4d2zcgwnxsuLsxrHULJSB7zJmJWeWDGTIXoKOM/fywllDtL8tRyeWR5W5Eesu2xEZFky4lxm7R5ZEla0VO246iICVDNwHhuL27Cw9C6jI330Zz9wi0b0UR8BFuJp7vw+g0I8qslfuxZV3fvir1QLuLVnVqgLFi1emywADKvyalyzfqchQpDGzd9zGJcAPv0AfXhxfQefSWcUxfU/uwvnJmTkXDftuxszF5+MzmKW/vFML94Gub1nfNSOqMp3Za6wmTP+SHG+/cHxfH6RXtUyovhMD3v0m2mdJK69o97y5gNIlC1KicTcGNChPoRxiG1UGynefyulXHgT5h+BleYOlw2uT+QcVP2YvQP5cmcldoRU7H1rhI/bzLU7TSincK1aeza3xtuXM2ikYVM6njSfx/iFzYZoMXcbVV+6EhXhwf8tUmhT4Waz7hbyF85E9S2E6TT6JZ1QIj9aNoJj4zpADD/EICCY4QsPNxX0pJAZaY068IDBEg/H532lRJoco15/JlTcvWbPlpNHojbz0CNa+fj8hTcpLrI7RuICIQcUGcE8AuebjdCoRM/x9ML2ygdYlBLyJ8i9cuSkd27TiN/H7JYas57VrIFsNfyF9mUbsNv1ApP0RGhTOTaH6S7ES+1L7Ks8mf8r0+sXJmCknhQvnIUuWPNRuN5ELr53x+Q88VSk1cK+8xOrxsZkUV8o5cw4KFi5MRhFbVVmL02HWQV46BxDsYcWieirSV+nAEYsowoM9eHJwIR2qCTj/XpR/nmz8mD4vzQbP1T6pKjw8ige/d6JgBhW99prjFxqGk8klFvWrS84fvyNrjhxkTJeegtXasuLMMzyUKTg+77i0aRClMovf/i4duUrUpEPP/rSrkZHsHXTTct6eHsOPypPkfr9NQFQwvu7mHJ47kCpZlTqanpx5clO0fGeOGb/h+NxW2hNnP2UtSOPm7elcP7/YpgpLj5vhabqBIr/kpt6Ag3iEBnwK98pLrK7MoZLolzO324xncAzvRF2tIwZ71Wafx84nkshoF47M7kQGMSAafvABHkGRRPm9YXHfSqh+7sDFN/Y8OzmRXJlK0aptFwxrliBXZtE//5CLZhO28PydhlBfJ9a2EvWydAN2vFZeYmXD8kZFyF2oHoet/AgVefzo2Dp6VMipbX9Z8uQle9YSTNpzD6OLi2iYT1ffS1ZrwcD2Nfn++6zU7rsPjwjBDG+OMrRBXu33VCVasPyyEybLWpI7y88MP+lAkOir3z0+xcxu1cj2w3dkz5WT9L9k5FcxEFl/+TWa0GjcHhzAMIeKX4ds5Y1nhPaqgf31rTQXeV1m7AEsvMIl3Et/U04R3CsvhPBxd+DFraPsO3Gd1zZuqJVLwu5OGF87ysUHL3Hx8cPX1wsHKyNO7zvGbWMLEfSUzkeNq6UR5w/vYdeew9x4aYut8UUOnb7Ec1sPsV55Tr4bb26fYf/uXew5cxNLV3+8bZ9w5vBeduw9zmNrC4xvXuL40Qu8cfLQPnrMx9mUG2cOsXvXfs7eeounuwU3Lxzl8FUTXN1Fh6H2J8jPizcPLnFwzy527trHiRvPcFaLgYqfSLunC+aPz7Pv2FVeWovjEelQezrz9uFZ9h2/zhtbsSyZ+arK3GgPB0vunNrHqTsmOHjozsIpL8oIDPuA/fHJlMuXjkYzL+OlfUGWrxbuVzQtSanqXThnbsPt47vZvvugyDdTPP0D9S++8sE/QI3t0+scO7iXXTt3cfDEZV7ZKe8H8Jbz7f9BpwbutS+08nDi5e1j7D93m7eOXtqpEl6izfgGhBHtfZcxLYqRoUR/rtl6oVH74qOF+3kU+7UIjaZfwOnlDfbt2MG+o+cxsvMiwF85GyvquV8gaudXXD1zmD27drJ772GuGJnj5u3zzd5cnRq4V6y8fj84WIPti7ucPHqQ/fv3c+DgYc5cuY+FkycajY8oM1/8NV6Y3b3Aof0iLu3czdFzt7Tr1Rpf3r18wJkDh3lg+g5PHxGf1N4iZt3l9IEjPDK3x1PEn0BRRlbPbnBUfH+naKv7T93klYiLSgz8JE2iHni7mnP11HFOnLmHnagvicvOQ5meo3bl9cML7Nsl2vzZu5hZmXPnyD5O33+pfW/G6xtHRfqu8tbZD7WbOVdOn+T0FWNctPtS6pqbiGUibuzfLdKymwPHLvBCxFZ/cSz/hbiRcrhXXkTlhb25EWf3H2Df/r3sUfqQvfs5df0J9t4B2rbk5ebC8ysHOXrxFubOytUOEWuD/EU53+b4AVF+u3Zz5NxNrFz9RJ/hK2K5mncmtzh97CB3TJ21V4XUytNVXMy4qfQ5O0VbPHiM+28cCQhU4rcHnsrLq9RumNw+z6F9+zh2zRhz4yuMqvwdubos5ZlzIJ42jzhy4DT3jG1F/6S8IE3UI1H2L66f4sA+UQ937eXkxQe889Lg7WTGjZP72bn7ADcfmWHz4hr7DlzA2MIZTxETTh89yZV7AvSTvJRJGeB6WBtx4eRBjt18LeqvH25WJlw+to+LRla4ifqm1rhjbnSLY/tEHTdT6rgy4BR9uWgPB47ewdHDlUeHRpHxx2rM3vMQ02cX2bt9B4fO3sbKTa2t+8o7O15eV+rlFdEnKyewXDG5epqTp69g5qK8eV55QaU/Dsa3OXlon+inRRs5IuqltYv4fQ9e3jjN3l07OHLhKQ6Wzzl1/DgX77zFQ5SNr58PNkbXOLJvN7uOnhOc4Imj8XVOHj/CAws3Uee9tY++9XZ8xbVTB7TlsefQSR6buRAYGCDaoBp3O8EHJ/Zx5sFrnDxFmYtlbjavuXZ8H+cemeIiln2rMVQ6bTplcK+8xEkEOE1gKOGhAjiUpzAoL4EQjcwvOIyQAD+8lW08RKD29SMkPJRA0bEogKLMDVZgRpk3F66/W17tH0xYSJD2DJduPz74BSlzzJVnEIvG6a3Aefx3QkTQ1IhgHExoaLDuhU/iO0onHhQSRnh4GMECij09lWfrhhIWpD+jGb9fEZTDlP2I7UKDlH2LzlebLuWlUcHaubIa/fEoy9T+IYmOMWk+6PerBK6QcHHcytQI8dnDHRcnJ5ydnrCwYxWyZ63N5idO2pu0lCAXD/fFK7TlrGMwURG69AQH+iV5q6XoRALEcYoyUspJOV7tG04T/770F3eq4F5YqTfathEs6o12CoQH7q7OOLm58Wj7OCpk+4UGs86JAbC/tv7Fw/2vxQpSa+IF0V5EfRB1IixUqeufTr/yFiAZLOq5Uh/CRPsJ1ta5hPXfmlML9zrrXjAWGhqfbyJGibJR3gb8cRttbBAxJ76tiXikEaCoxAFvjb8okzBRFmJ7JS6IOODjp8SjMPyVfWhjhYiHAUHathqu7EOJZ8m2VREfxGAiKER5odanZ1nj12tfgKSkRdSDUBH/NBoR20TM0sYXsV4t6lZocJD2xkHlJUPKvkLi45zWIm7p06I9HhE3/JPUo6/ZKYd7pS+I73NE+4k/fmElH9X6WK+94TpIWaYDcV1cV2J9Qp7pyl//29o6EKh9SkuAWokHYh/631H6HG0/pe/LtGWgxAw3Z97ZWGtfQOUXEEig7ztOL+9Ftu8y0fX3M9j7KbHcX3xXtHFlgKlNl/iu8rJFpd/SpyNEpFupI8oVwSDx+9o+U9QDpc8MD1Pe+C5+S8B/SGgoQUq/F7+feCufBdArMSM0UFnvLvYl6lNouPbmYeUlksrx+/qJ9iHquH98HRf12U/0PUr6QgM9ebB/JJl+rMCkbc8IJ5oI5ZiVPFJOeGl/UxfztPVSeeGjh/KuCfFdsc3Ht7SLbRLnsVIvdXmsDK5EvNTWdxETRXsLFcej7ce1aVHqs5IWERe1/bPIe1EeSnv2TzR4Vk7gBWvbuD52ao9PzxRiwBIojjlE7FPHJgozqHX5oH33g3IM+jyTlv4GnEK4l/4jK0FY42jKwRlNKVAgFxmyF6X78ss4e+ueQ668hVDtY8GiGnnIWaQxx2w1BCRzRUD6/8+phftPrAx4NR68urqcRiVLkDN9Roo3ncp1cxftm2eVzsdHdFSeV6eRPVtGyo44RYDS2cizSFp/GbiX/i85NXD/NVgBTz/b+yzpUYECparRqFkTKhTLQbqM2ajQczY3LLwJVIA+me9+dRYDzaAAD+7u6o8yp33k+ocEhCf/QkdpaemvxxLuv7AVeNe4WXNl6zh69hzMwoP3cPIN0J3hUNYL2PPxtufc0ilMnrmKx04C9pUzSkn2I/3/5y8L916ofZW3VR5hTO9eDJm6iYeWngQE6MBe2cbbV43ni+NMmjiO+QeeaqeESbjXWcJ92vN/He69vJUpqlZc2beIIf0H0K9fP/oPGMLMNQd4/s4HfwH2CVdZvnIrU17UHry5s5uhA2dy4JoZ6oCEl7JJS0t/nZZw/8Wtu6SpCQwjMjKC0M+m2ij2wk+5nKtMK/p4yVL6a/EXhXth3VQBf8IiIvSX0kVb004FiLeHdt62cjk5VEC/bpqAtGIJ92nP/3W4j+8D/AJCCBdtPkJvZRpQ/Eme/5KVeOSjDiQiMlQ7hUg7zSWZ7aSlpb8eS7iXlk7iLw330im3hPu05/8+3EtLS0v//1rCvbR0Eku4/3os4T7tWcK9tLS0dOos4V5aOokl3H89lnCf9izhXlpaWjp1lnAvLZ3EEu6/Hku4T3uWcC8tLS2dOn+Eex8f5QkdygtQpKXTthWgUODe1dVV+3dy20j/O1bikhKfnJycZIxKI1bKWSlv2S9JS0tLp8xauFdAxs3NTXumUlo6rVuB+hcvXuDg4KD9O7ltpP8dK3FJiU92dnYyRqURK+WslLfsl6SlpaVTZpXyiC4TExNMTU0xMzOTlpYWVuD+7du3ya6T/netlIVyFje5ddLfppXyVso9uXXS0tLS0n9uVWRkpHZ+jpSUVILc3d15//69/pPU/6eU+KSchJBKO1LKW/ZLUlJSUimThHspqWSkwH10dLT+k9T/pyTcpz1JuJeSkpJKuSTcS0klI3nm/uuRhPu0Jwn3UlJSUimXhHspqWQk4f7rkYT7tCcJ91JSUlIpl4R7KalkJOH+65GE+7QnCfdSUlJSKZeEeympZCTh/uuRhPu0Jwn3UlJSUimXhHspqWQk4f7rkYT7tCcJ91JSUlIpl4R7KalkJOH+65GE+7QnCfdSUlJSKZeEeympZCTh/uuRhPu0Jwn3UlJSUimXhHspqWQk4f7rkYT7tCcJ91JSUlIpl4T71Comilj9n2lTsUTH6f/8hiTh/uuRhPu0p38W7uPwsX7ImQuP0OiXSP0/KzaAl1ePcOapLf876oby4tIxTj1y+Avbfp3yM7vKkWN38P4G+86vXeq3Vzhy4h6++s/fqr4I3Ie7PmfH0kkMHDiAgQMGM3TsQi698fzmoTfO8xbjenZi2Lzz/1hFCfM1Zt2oEQwYMIDl518SpF+eWJrnexg3ZCBDFm3nubd+4b8km2vb6NOmLatvOvMtvc81ZXD/gVcHVzJ+YB/6DxrEIOH+/foxYs4pPKL0m+jlcmcri1eewF3/+aNi/Xh8Yon43gAGK9/v3YtRCzbyOkS/PrHCzES7G0OvXv20v9WvVy9m7b6Oxwf9+m9EKYd7d06uXMyW2876z4qiuLdyKpNmbsRefPK4fZCZou3sfRWgW/2Z4rC+vZcJAxfw1F2Dp8luBvbvJ2LdIIYMG86IEcMYPFiX97P33UKtfCX4FWuHD6Gv2K5v37GcMU3UKL2esm3RULF8oLbMBg0aQJ9ew9n/0E78klS8vgzcR/Ns+wKG9e3FAJHXA/v3YcDEfdgHRPDm2ETqNh/H2/9YpsdGWLJ97nz2Gfvpl3wj+mDNso4lqDvlSLJ93KdyY2nr8lQbf1Hb5zjc3c2spUexC9Wt/S/IfEs7SpYfyLMY/YL/rHw5v2UOK8++JVy/5G8r3IezK2ew+ZyNfsE/q9frDSlZaSgv9J+/VaUS7qMwPjiXpiXykCVzJjJmykmu7Dn4UfUdhiuv4/+t91Zup2hStCjVe+/nj9AgtfKzO0R9lQqV8Pd1pvDKNym5+bG9Z1ntelWpdhyw1i/+X4rz487uxUwZu413+kX/S3GBjpxcNYqxO+4ToCd580NTKf9TViaetfmmBnMpg/twDvWqQZH6Y7l06za3b9/m1s2brB9qQGPDdiy75/Mxj16saU2ZGqN4q//8UTH2rOtdhuJtJ3JO+f7Vo0zvVJgaI9djHpLQoKxvbqBjzeaMX7uH69dvan/rxo6pTFmzHpP/3Tv+p5RyuDdlTI3StFpprP8s6uveUdQp+huzTrwgUHx+ubIfOUXbKdhxtw7MkyrIlKUds4r2VY5tr1wJ87bg1q2bwrfZNKgGhUp0YNel29y8fh0jK7E+6jXrhvcU5XCJm2K7fZPbUadmUw5ZKr8mZL6VFr8Woe/Kw9oyu337FjeOLqF7p4Y06r0dhzCJ+IpSC/cx9heY2q8uzUev5dL1G9xS2tKtg4zusxZjW1/ML86jTeeZWHzV2f2B18dmMXbZjY/gFBN8lz5VajDilKt+yTeiD3as61eTNvNPE6xf9MfyYG33+jSbdVP7yXj7YCo0nMwTf+3H/4Ss9vShlugnXiQL994cXTqFFSeMBWF97XJgUY9KtJh39S8MyhTFYnNrCxNmbMNRv4Qge+a3LEv3BY/0C/5Zme3oRa1GE3mj//ytKuVwHxeD1YXZVPzxZzKX78KeW9b4+QcQEBCA64vDnL7/Gs3XXzNTr7i4f/SMm7/DcVplykuevLnImqssS++76NfoFONymHZlc5ErSwbS1+7NMTv9iv+p1/StVIRCZSaT+Lzmn8rsGO0LqCg89broduIljv4b5JGUwv2xoc2pM/Kk/rNeUb7cX9eJIg36cNFNl1lvtnSjdrOpmGs/JVKMI5sG1qb1/DMfr4QE3V9H7bLN2PE8TPs54PVRutVpzqwj5oQnyfsP0RG8/8YumaUc7i2Y3qwWXTabaj8FPFhC8+qVWXTN6mOVfblhJGUL56NsiTYctk567ikOz7vb6VU2K9kLtmPHi0+vs1ht7UPdFvNI3CLjYiwweuic6CyWLbOaVMTg98e6j9a76VS5EVvefEoiQb73GFyjKoazbvCfP5n3BZQauP8Q/EoARz06LjiMY5IijYuK5sOHaF6fmEmbTjOw0i//WvViU2caDTmt/yQUF0tsbKzS7XxjcmND3xp/E+6voo2IIjNiY0U//B/KE/v9falZ74/gPpCNg9owYusT/eevWUreK/Xxr3OQ7blZNO8wJ1HcjN+H/uM/LAn3/0PRfmYsrPUL6Ur05IRNcnMGEvReY8vt86c4evQoJy7cwdLjr07giOTd0+ucOn6Eo8dPc/elw+dTPyK9eX7zEiePiW1OXsTINuFy5XsvS+5eOsWxI4c5duEB9poPfPB9y5XLF3lgmTDbMtzNhCvXrvLSU4G5MCye3ebSbWuCQj14fP4yxrYa/F1fcvP6FWzU4biaXOPcY0v8gn0xuXeXx6/ctRU73OUNt66cw8IvmgDbx5w+dpTTVx7ipmOyjwp3f8v1s8c4fOIiZs5eOFkacf7SCzQRn1OZAvdNf8pNneZNqVO9MBUGnyTg42YfeLyiJ+WKVKdn2yKkr9WT49rT8AG8vHaZa3dN8NMHj7gYDc8vXeG+sTOBGjvuHZlJtYJ5yferIcsPHeXeq3fa+YvRoqweXT/DkSNHOX76Ci/cI7XfD3B9xYE5g6ic4wcKtJ3MtmMXeGIfRJSXLQ8uX8PKJ9E10Wh/3t67yHFRJsdOnuepVcK0hNhIP15dPstDc3fCA914cP6o2OYixjY++i0UxeD+5iFnxfePHDnJzVdORP7LwJoauK815CARSQOVzxNG1KnGmH26Sytv/wTuNw+qTfOZRz5eDQoy3km9si3Z+UZJTwjHRjWk9aST4q+0odTA/bSmdei7z44wtwt0bVSaHjueJwJvAU9rh1K9xSDGNa+JwbRLn8aXSHs2DelO++7d6dy8FRueuulX6PRyXQ9qNxWA+KfTAd5zYnAzqg86pLtqY6PAfX3WJtmXIpsDA6nWaDhP/0PTC/4ppRzuBbgfmkCNZpN5qr9Y8rlieHV0Bh37r8La15arB7eydft+rj39eC6RDyGumDx/jYePO3f3bmXvbbOPcdfz9Tm2b9/Bzh07OHr+NQk1Mwxb48dYuYdid/cQO8Q2B86+0AFo4Av27drJth17uWuTeEpNKJZG59m+Vexv+3aOXHmELhJqeHz5CFO6VKdCk2Gs37qbO29diIwLxvTRY8w8db8a5PCCJxZuRPhZcWL3Trbv2MMl08SxNLFiUTu84YWVMx7WJhzfuY1L5vH9oAajK/vYunUru05cxS6+z4rzx9zoGfZeQZhe3sXWbbs5fsNWuyrK5b7Ih+3s2HOQ5+6fn8l7d/scu7eK9du2c+yh9Wfz4wOtn3Bku8j7bQe4eesKa0c3xGDeqURwH8zLSzvF+h3sPnI2IU0f4f6aIATRNzm/5aGRJQHKGadokT8mRjgGhOD4/JLIV3E8J69hk3TEEGrPmT072LFzO/vPvsLJ+pl2H38UU11N7nBw21ZR5tvYffIuTvF1Kzocm5dPsFWH4PH2BjvE7+04egHTpLOm3rtx6cBudmi/b8zDrf1o0HT8Z3AfHejKvcPL6dKwKk17TWTTvsM8dIkmzs+eJ8bmBHiYc+rAXk5eMdXmp7tx4nTdwyn+9LlIl7U2XcF4vNGla+fRi5+mK8qRi8f3ijqjlOEZXjklmn/w3puHR5X6KurUniPcshLrIj15aSTahNqFW6cOcvjsAwJi3uP45hHPbdVaBgp2N8XopTMhfnZcPb5d1CeRv1efo9b2h++xvnGCBUNbUalmWxaKsj9u5EB4VBT2Jg94lYjdlBkJDw7tEeWzU3gvt94llExsgB1Gz60IiFTz6Oh+cWziN66bEpaIEd57WHN93za27dzB9t0neGKVcF1Bwv3/kNeLrZRWZaXD4gu64PUH8jY7Rv8mJfnlp/TkLpiHX1Q/UrTeOM4++/QMdFLFhblyYW43SmdKT4YcecmdVcWPOSswcusVnHW8SYjDLWb3aUhm1fdkyJqPXDnzUGvaLbHmA3YPDjCwblF+EL+XK292fs5ek3lnPQm6N4os6X+g2vQHup0IOR/qQuZc2el9RjmbZs+M9qX5Pm83Zo9upJ3u0m7RXYwO96dkdhWdJi+gdkYVqnpTefD2Cs0K5KZcpwPas21OB0ZQMoOKmv2n0bN1HQpn+U58Pz0tRh9BO24Qcn5+hmG1C4jl35GlQHHqGzanRgXxOccAHrp/DpMK3DdUZaDttN9ZObEbxfK04Jy7HkFCXjKxZVnxe7s5NK0C6ap354SDsuIFvXOmJ1fZbjzW9zyxEffp8HMWKrXfylur4wyompEf02chc7YcZM/9K/2WXiAg3IEV/WpRsGgxSpYsRMaf0lG48QjuuwVjd2sVVXJmJ1PmdGQS38nxW10mXrTH9eg0fhV5NP68Dlqjvd6ya3hz8onvZs2Tl6zpVWT6tQFzzzzXwmqMrxFDcn1H0ZqtGTi8O1WLZdfmca4aQzlvqTTgCJ7unEXTX8Vv5ShGsRw/kanNYqz+5Tvfvjjcx3lycGQdmozbp20vVlv//Mx9q/ln9FdHwjg1qz0t+m7FXlBptNc1+jZuyBKjtHBZTKeUw70lsw0a0GXRJia2b0HzaefxSdKZmqweTM1287h8cDpN6w7gopd+hZDfq/20bTxAANoOhtZpyJoUwb0Li9pXwWDpI92ZrT+B+5B3B2lRrTErnusDXBpWiuE+womNvRrSXcTspE0wQbGYX5hH1fJNGDl3AUsWTWbyyF7ULdmO3Y91vxllf4zmZWozaNp0lsyYzLyjj9B8COHBhhn0MWjJ0KnTmTF9Op0rVWXUhqO4a3/MhaWtKlKpYR9mLV7C9KmDqVK+PgPGLWbhjOmMnzWDKf0aUKtVD05a60BG8/IqS4b2YtTUmcyeMZZODUsxYOs9/AXAntu5gl6Ny1CiRgfGT57F0YdWhIY/onvpcgw8pus/Lbb0pES5mgyf+DsLxP6nDm9F2eYd2GqiSeb4o3iyZyIVyzRj1rL5zJ8xhR1PPQRlO3B2aic69u7L5MmTGdSjCXXH7cVMAdjYV4yu9Cu1O45mwZKZTJ7SgzKlmzFh1nJmT5rCxKnTmNipInW6T+KRl76NRrtwfvdY6rfox6TJU5k+ZSiN27Sh56r7BGlDahz2j/fSpV0X+o8SeT9lJtN6t6RC5WL0+P28GO4IhbtxaupwurbrLtaLvOtSmQbjN6G7Ncbzk2k5Rpt6U7zGWB4r3UeYPXNb56Fyq/EsXfQ7U8Xx9G1TnlpT9vJOP6r/4HSD6aPa0rLvdKbPEOkf2JumFXNRot4MdMOWTxXjfosVM4cydNxUZs2aRKdW9Wk84RiOyuG+92Vdl4KUaTKcxQuXM1383tD2Fak8ch2m8Tzp9Yglk9vTrJfIi+lTmDxkEO3qFadcvSmf3fPx3teGk0tH0bhqGWq07MGk+Us5Yx1F+MNNNKlbmp5jF7Ng+lzW7H5IqNtdVs0YxtDxunR1FOlqOuk4Tkr4iPJhTecClG06nCX6dA1pV0GkawPmSgYHm3FgdlfaDB7D1OlTGdS0JysO39QOGGLEuhXdu9K6cU+mTJ/BiLF96Tb/FbhdYEDbyrTqvYCFs+awdNNpEU9FfOtUkgYzrmpPjFhfmEGjojUZtHw9CxZNE/VpBK0alafxsht4REVjfGAtw9rVolT5BqINTWbVZVMxEHBmXuNitJ99X+xByOsBC2f2oqnhKFE+M5g+rgPlWw9l3TXd4Dv2zXqaVS5Na1F+SxYuFMc2lKq1RVve/UpXd5SB1O459B4whemzZjFmUDsxmJjILf1JaAn3/0POd+eS9YcKTNhupl/yuSI0DxhZPjM//9aEVVefYWZtzpPTK2iaSUW+tvN4rbC0cjlHudSo/K+9tCZqe0wEz9a2J4cqOy3H7+X5G0vMX99kSf/SqH4ux5IrTuKLaja2K8F3mX9l+KZrGGu3eY6RtVq075sML5ceVYnObDj9FFNLM4yNXmDrEYb6+jgK5c9J4wUJl7xcT/Sn0G/FGHZRiRxOLO5dix9+zk6ttuPZf+4Gbx38Mds7mDIi3XnLdWDK9tPceGGHv+slmv9WnDp9j2nh3u34ZCpmE6BadTj77plg9voec0RgyfB9MTZYi2GlvyWLWudClasFa0485q35a27vnkqdgip++m08z+JHAImkg/ufaDJlH9YPNlOzaC7a7dRdTPa9sYQ6+Uuy6K4VV+dV4ueqXTmuhfvXDCuen99qD+SZnhNiIx/TO09hEaTX4vohGPe3e2heoiCFygzkgqUdbr7hfAiw4PTJc9w1scTezpwHO0ZRUhxP1QUPeB8WgPmRhTTIp6LwgE08tnLAO/w9todnU/mHLMy8JTqbaH/OT6pKOtVvDFxxgVfmlrx5doJRrXKjytqSYzaitwg3ZVqZ9PyUtwpDN1zC+O1brm4eQk5loDjvJuEfzOhZIhc5K4/ipoUTLnavuPHUDP/QJFT2D+uLw72or2emN6XWsA3aud3W2/4I7p3ZPa4OuUvWomvPnnRu05S6ddtzykEH82Fm26hfsyEbv/XIlEgph3sb5reqLAaZ2SlabQhGSaZoKDJZNZAqhouw97RjTdeadFpyVz/PNYqz01rRctQ5gtxO0L1K/RTAfSg31w6hTP1RPHTVDcjjrP4Y7sM8ztGxUiNm3k50Bk2vuNgYot9HESXqZFTUe6I/xPwJvP73lWK411gyvXFZhqwVMPKHisP64nRy5xP911ltwBQK5ejQulTvt0l374XrSRqWKkenVTc+znuOeLmN5mXbsP1ZQrpCTLZjWLYKMy8ry7xZ0b4G+WuMwlQfd19v6UPhnzPQf3f8BCBXlrUtS9NZl1BuoQlx9cDXO+H0mOWx4dSr15/7+hOVb3f1xWDsJd0Hodigu/SrUYfRZ3T1x2bXIMplL8GsiwnHsatfVSoNPUzQZzfWR/Py6HhyF2zIBuOER0CYHZ9E1apduBJ/00nYU0Y0qsSQHW9Fv2bH2ColKdNp+ceb/y9Nrk2OLL8y97r+jMsHY0bWLkWvnbrpbx6XF9G0RSc2vUk4Xe778HcqCqDb+lL0AaIfnN6tNj3Wv/g4vTPc6gCGpbPQ6Xfd1TOPi9N0aYq/CBH5lrFNStJnncIbatYlgnuTncOo0nQaz5R2GOnC7w2zUrrJbEz1M9/iTHfRoFwtlt5TRisRXJ7cTAxedvJxHB9qyqymRajYaHay95/FBbzDyT/hzG/ggzXUqGfIIQulTwpiW7t8YnAxGv24UIzxzmJQsSITzym/EMujBe2pNXgF7+IP9v07VgogLlV5tOipk1MoO0Z3YcIeE/1n8StPd2JQODvdtyQsw9/2k3QF3F9FjfptOWqtRIZAtrTNS/GaY3gaf6BOp2hToRJTb4jvmC+nWtXOXI2/qB4Zgp/am5iYUC7MMaBaw/mYfawi0bg6iQrpdo0RTXNQf8zJRFc/HVjSqxptFt7SlpvjzUWUyVKe8Sfe6a5UCoWYrKFBpdosvam7T8T5yiLa91oihmh6BdmzsE1Fei0xEh/ieDS/LdUHLOeNvg2IDOPu8s4UayjyS+kGrHaJNpeJ1tPP6mBeyGxrH0rWHoGRj8jkD/44eron3AcZ+YqJrWrTf4OuflpIuP9zOd9fQI7vSzF6+0v9ks/lc30yv/xckO5rnumXKIrk1py6qLI3Y7tRMP6PFtOyXiUqV61B5XLlGLrjIepQb5ZW/4nc9QfzMFHHGW5+mObpv6PerOO42J6gcr7c1Bp54rPLfa+PjCO3qiiTjn8+o9Ln4qjP4N7t5IBP4H5Bj2r8/EslNicKTpZbelM468/UmXX7Y6XF5zyNfk2Ae9ejE6iQS0XHrQnjf6udgymV6ycmP4og8MVhWokBQt0FFxM1DjfW9Rdgnn84T/8E7huN2YF/rBsz65agRL0l+MSGcGZqQ3LXmYmtfzB35pTmhyp/BvdP6CPgvla7lbqg9uE5PSoW49fK00Xz1CsuAl97Ew6vmMqIQT1o26QSObJm4Nchp7SrY5QzmWIg8tuMax/Tb3VoloD7rMy970akrwlD8qso3muF9kkk8XK7uoSKqh/outeEwEBbJhf7gd86zcEiPiPV9+ie/ScajtmJOs6B+c1KkymrqFti0Oag0V+l+Jf15eHeh5NTmlJ/5HZt0PljuHdi27DaVO+7gFvPnvHU6Annd02hTtvRnH4bxgfXgzQRcL/21beMdp8q5XBvJQbXdWnQdzR9K1Rn+Oob2sv4iaXAfaWW83AXBWZxaAhVmo3CWOlUwu8xvH5DVj0XdcBpP12q1Pt7cB/8mk1TW1K0ZG9230+YlvancO96hvaVm7Dw8eezjj0fHGG8YTNaGBrQvFl7Ji49T9Ir/9+SUgz3AdbMaV6eAasSbqL+XDG8OT6dph1nJGp/sbwW5V+p5WieKVXN9Qgt69ZjuXF8kIrh5tw2AmxOJBlUBXN0WB0aDz0qsFHDus71Gai/x0NR+OOlNCnflOOu8QAfxD4RI2qPOKovv1j8PR+xdEJ/WjVrRYt6ZSlUqxdHtQE0hofrutFi2NGP00Vigu/RPxHcW+wYSN3ui3FPBPJv1vWheuOZ2HxWLz/wfN9gKraZkDD1K8KZzcMb0HriUWydnHj37h2Ojs9Y2aUU1YftFEfkKMC3HtMvJlw6dTs+jNo1evP4Y3h0ZpFhXQxWKOAZwP5x7eix8HyStubO6q51aLf6Llb319O2+QBuflKBRTr6V6XNovMiH2M5NLwWTSYewM5FlyZ7J3M2dS9LtU5bCRN5uOmP4D7UjtmdajP2UKIeSGPOVDFYGbHNRnCq6AfrVWX6jU8H0K/WtKd2y1n80fNawtX2HJo2hI6tWtC2aTXyF2nJtvvKPvxZ27sW/TcnwvRwN5a2qUyPJSI/Yt4yullTltz5tC6/29OH2vVG/8Gce1fWDmnPyI23P075Cnq8mVYVmnHg1aexQUnXwWmDtelqp6SraCt2PVIGMRpWi3QN2JLokQ2hLixpXZmeK0T99DlLj5bVqTViLzb2Lh/r1wf1TXpUrsr4i8k8XsD9IkNqV2H25cTXNxxZ2jsB7m0vzKBp80kYJa57HyxZ3L48ndfc1n40V+536TIbS+0noSAHFhlUpPfvgiVjXjOyaVNWPEjy2D/NRRE3azPnqfgVm220a96bc+8Srl6/N15Fy/LN2W+pH+xEqHlxcCED2jejlUFzKhT9jZ7zL2sHkzYS7v9cGssD1P35O2oO25EwAksi79MDUeWtzPijiTuyWN4eG8oP39Vh7TVPQt9d5/eFs5g1ew4zp01l/x0bQsRIbmrxDFTqPuuTkXScuzFjf1NRbtx+LO+tp1CxYrRdlfTKQTh3t/VE9V1D9ht93v15XRhBQQH3TRY/1y8RHeepARROBPfzu1cjy28TME0038hsc09KFsjKtFuJTv95X6BxIrh3EXBfOe93DL+QUDHt9g6hfIH0THschvrRHhqpvmfQfqNEAxIvtoxtyC95h/DkT+C+4ehN2sdtWm5oRcHydVh24DSjy2fEYN1DbaO6Ob1EIrh/yeBi+SlZZwgm8Wz84Rl98xahVvtVuvIKuU+X8kUpVmkSFtoN4vC6t4KGpfJSuk4HJq7YzeFVI6laNB1FB+tuEA19upM2BQS8Tz6PRh+UrD/CvSth7o/okeE7msw58Al4hL88TvvcKhqvfYRabcPEIumpPXi1CGE6vXd/zJA8v9BgzGaUnAu3vMLM7s2oUa4o2XOXoPeyy/hGJuq9/gV9cbiPsmNF/2aM2GWthQPTP5tzr0zLmXc64UkJMbYs6labLsuvEhhlzvBaNRhz0kO/8ttXyuHegunN6zLgkCl2t9ZQJUcdpux8mzA4F9LCfQsRZ5Tde99jUN3KzLhgx9sjQ2jYa5vuLK7tXjr/DbgPtb/N4p5FKN59NlfsEjogRX8G95onooNqNpKnwZ8P3GKiwghQ++KrVuPrqyYgKPyT4/jWlGK4j/Zk77BaNBv3Z49UjOH18ZkYdp2d6IbaGF4eGk6VFqMQoVoE82N0btyVM87xcSeUvf0b0njaFf3neAVxaUoDGvTeLrbwZ2OX+ozZY66NyYrCni6jWaW2HHOMT42GnYOa0GD8WcLeh/N4z2QaVKzPwuMPteVqcW0xdSp3Ya+WMv8i3A9ajcfHs5zwekNvajWejkWiZTq958nu8Rj0WpzQrwbY8Xv7wvxapRVdO3ako9btaN6kOdN23CAgzpbZzeux8GbCDeCup0dSt9ZgHobH10A75rWpQ/t1AiTjHFnRux49V19PAvcatvZpSss553l0aioNWo3mYeL0xTmwaXA9DATch4p/GwxKUbxqc7p8TFNbkSZDxi+9LIBX5PMfwX2ISG/PBkw4mmjar9qUac0qCLi3E4nfSYMaDdhp/ikkv97ShTqtZn8O93ER2J5dSgcxIOi+9hquvr6ojfbTqWodVl1XooOA+4H1GLhD14tqFeLCsnaVBNy/EGO/S3Sq14B1Ronm+wnZHx5A7Qbj/jrc399Ay3Z9uWSlr48iXdanFtFepKvH2uu4Kel6upeOVeuy9rbS+wq4F+kapL/Kr1WwE0vbinQtfCg+xBLhep2RXQ1pXKMWnfouxdI3hAiHg7Sq2YjNn3VMQi5nGdS2C5vuJL6n41O4tz43nU6dZmCcOOxFm7G4Wx26b7ir/fiHcL9S4HbQedrXbchGk0/vG4kOuUffKrUZd03s2GYr7doM56JVAqBFvVxN64otOGAvao/XPcEP5anRZwVPrUW+qM1Y07Ma7aad1qZRwv3/UFyoK1t7F0aVvhKjtz9PciOKN+5qDS73FpLvxxy0mHU+0bx8f472L46qWFuOvE3SK8Yr3Jk19TOSqXxnzrokdGG+j1dQVvULnVdcx9/pKNVyZqNin626Dvij4jA5MokcqlwM3P752Zvg65PJnycHDabrKpqiu3NbkC1vYUZeVgKwo4D7qmQtOQ3zoITfVuC+VMGsTL+bKM1/APdDzySAl83uwZTLn56pj94TYnyENhlVVJx8OqHjiXjBtFb5URUajdGfwH2DURu14IvXOdpVLEbBkmUpXqIdh82UIBXB5amJ4d6SCWVyU7B6Dx7qG1ms425qZc1BjQ5rdXAffJeOZYvwa9VZ+qflhLOjW02ypyvHPj13fHiygtr5v6fwYN2Z+5DH22mVV0XJmTc/dl5WB3VwP+eeG+/9TJlYQkXu5jN4kYjFzI6MpqAqMxPOWhIRasW4QumpNXDlx6f0RLk9ZFBuHdwnPgOF10uW96lCRlUJ1j37d2E2dXB/6LMzxLaHp9CygQjO+sOIf1pOoi5Bp4831B7VPqpRp0AOT2hJ+9kntMH+xpyWlDdcgWN8IXzjShXcN6tF1y1KTxWN0YHhZMtWg2mnE26cjId7a21mB3BuVhcMunegRU0Dpp7Xn6Gy3vPX4T7ShSUGBagxeDlJTrJpFQ/364ySvOEg6h0rBooOaNGjz65EpkWlGO5FJH53eS41KzTnsP2nA6sExfLqmACMTx6FGcOLgwISW47myUe47y76n4RGdn9RC2r335HkHjMN23rVoPn4y2IwrmGdgPuRO00/xsfQJ0tpWtGAow6fwn2jaVfRuJsyoW45xuxKeMSZx+0ZlBBwf0Bb9WK4v6YLrUae/hhPkoX7/itwS9QBv1ov4KXJDLS3MH0iBe4nYCjg/uN57Whnto9oTMel9/QLkijmBVOa1mPetYQz9y4nR1Cn5kAefLyDUQ/3q5WpUOEcmtiONhOOfZwyoZUYJMw1qEaPHc9wfLoNgzq9uJi4OYVbs7RNMQyXXNIe67FRtWk3X7l/Ljl9+ijMz+C+R33GHU5o4/i+ZWrTioxUztz7X6J9tTosevjpmftbk5tTs9msz+fcv7fi964VMFhy8WO7DDc7TLMidVhzW8kTAfcD6jJgW8LVGkKctRDdc5HCH6K/a9KIKec+fSad8dJOVK85mhfJjtCdWTWoPWO33f/4m1q4b98nAe7fW7KoUwUMxWAnvq6FvT0g0lWX9feUgZiAe5GugdsTUXqwI0sMRbq0cJ+gKFdjptYsQvs5p3APMWN0rdrMv5vMHEYF7tt1ZfOfwP27SzOpW3cU9xJDWdBzJjRpzLQTutx9fWS6iLHzRK3RKx7ulylPnjdnZIP6zPikcgg5H6JlxbqsNBXHb7WFdq2HcN4yoYZFmqyiVaXWnHLyxvjQIMq3GMuz+MyLcWF107K0m6F7Ap2E+/+pODSWZ+haLhOqn4rRbsgkps9fxPy5cxjetTZDd9zBJ9idVa3zospWjJ4LNnLwxCHWTexCsR/TUXfKITz/KPbGfcDi+EgBhOko1WQ0m/Ye5fCuRXSolo0fi7fnuJnSMDXs6lWO79PnpNnwxWzbd4yDuzez7ao9YQIWR1XPhqpALQbOWsuBYwfYvGEPN175ioZ+kdYFs5GlaEsWbNvH7jWzMCidh+9yFmfUFaWHd2Bul0pkLDYZ00Rwb7qxG8XzZmTK7UQR0/s8DQoXoWavI1q4dz48jgo5VQw6nQCi1jsHUCr3j4y9FUVcoA1L24uBTaby9J21lcP7drBklAFl8mUgU8nxycO9/THqqb6j7vD1IqQpCubciPLam1DLDduEg7ZlB3FxcjFUFTtxVHtKJoKzQ8vxY6YctJ2wgQN7NzNhYC0yqzJQs9M6Hdy/f8nwSkVIn6MmY1fu4u4rE3aMaknuH7PTec4uThzYxrg2pUn/3Y8UH3ZKe5Yw2vwAHUupSF+hGwt3neSmhS8OR2dTQex32nURvGIjuLPKUPxOdup0n8Ouw0fZs2ki9Uv+Qo4aYzHSiLAd/JIReX+ier/lKHdOKIpye0D/HD9Qb9wuvNyMWbloHusPnuLS2RPM61qdzD9XZsfrf+o1YckrpXB/RHTcNYYcTXTpPojLK2bSooQITNfMP84xfb2pMzWbTPu8M4l1ZGP/6jQTIB8fXj2NN1O9XC0RHC21+43yvseY9hWoOGgXogg+Ksb5KVeuX8FVtCurK6ItXPmrLz34upVyuDdnauPqdNoQP3XQm3Pz65OudAt2vNCRt/GKfpRXAF1/qSnC+jR9yv2Iqsx0LEP17d9qFx0q1mbVk087nBdrulKj0TSxnX6BkO+9udRpMoJkZtZoFWe5k/bl67Ih0ZmpKOvrrOhZmmpDlmH06QmrNKuUw71QmBdHlakv1TtzLr5gtfLm4vG72CpPfjkzi5YdpmOeCO5N9g+mYjNRdgq9Ox+hQ4POnHaKRycxxDY9SI+S1Zm89/HHq2pWBybQqHInDlsrlcCdFR3rMGz72wS4f7yYRmVbiYFGAtxv79+QehMvEeJvz+LWhWm34JruKswHSxbWzSnieGcOa8knjjfbe1G1w3yBUDrFBN2hT9WajDitq4vm2/pRq8/vn8D9y7Xdqd5wWrJn7h/vHEer7gsTwEociemhiVQt1pT9b+ODyXscnUx56Sx6tbiXTGpUmzlXE+De+cRQalbrx/2PcG/LnJY1MVzxTBuf3B+upXHdeow6HR9/oni6awjlmg3humcEsYFvmNamLNUmn8FLvwv7s1Mp8qOKrisva4HW6dIUKhY0ZLdRPCXG4u9whwfaMbEHq7vUofGMG9o1ynPuKzaaopsKEmLDzK51GHPw42RT0SjfMLlRWYZq51yHcW5CXcp2mkz8hf33NvtolS8LZRrM/WQ6qVax7mwbXpMyA7frTq7FBnBodGm+VzViy30d3K/uW4u+iae/hDixuE15us5Tntsu+sR5LSndchA348fzzufpXiILBcuM+QPA1LB7VBtaTjzxcd544L11NDPoyUVLfQ8S68amITUoM2iH7gWaMX4cHFlKpKsxOx7p4H6lSFe/rYlmNgQLiG5dnh5LnxPp9hIzN299PxXC0clNaT7uAAHvI7n5ew+KNZzITVtdLY+OduXufdEWBdwPMOzIhtuJg5QDi3tUpuV83Qk/5zvLKPZDfvpuf6a/6hDCg+Xi+Ov14YqTbn82V+ZTt94QbsafvQqyZ0GrsvRY9FR8COfZ6h6UaDmU45b6Ia3oEzcNa0SNkTvwEPUl7u0GDFoM5JxFIrg3XkHzcs055uqHzdVp/FqiK2f1gOF4fhyFVZnpPPu8No3W20T7qD/+D+53+HaUCrhXFIefw0PWjWxF4fQqVN99z/c//kz2Mi1FBXDWVpxw7+esGd2afNkykT1PbuFy9Ft5DkfNn4NTbHQAxocX0rpEbjJny0WuHNko33IkZ9+46iuNKFCNOXvmdKNgxl/IlD0PuYqUpfMmZX7/B3wcbjOpQ1Uy/CDAMrfydBdD1t5QjjOS1/tmUTtPOn4QA4PqXaazYW5HfqtQnjGXldrmxKLeNclVdsYnZ+7Nt/ahXLFczLybGO4v0bxUaRoMOKGFe9fjk6le6GdGnEvIT9u9w6hUJDMTr+sua/pZXWdMs1/58ft05CpcmzHzVzKpbz0y5x/KY49k4N7xJE1/ykCTsZv0cK8Ez/kUz1GFmUcsdJ1CXBBXZpQlXY34R2GKfLe/IUbLJfj5h58oULoRU7b9ToeCpWjUdZ1+P5GYHZ1O1bzp+O673PReeh5nt2dMbVWSn3/KRJmGfVgwbwA1yuWg5PDTRCuF+V7N1ZXd+PUXFd/nq8Tos3Z4nl1MdZGPs6/p3rD5PsSL6+tGUyNfNrLlyEWO7Lmp13se95012rR+8DVhbLEs1Buy+uNzbqPcHzG0QCaaTt6PJuAlo5uVJkfOvBTMl4v8ZZszY/8Lgt4nlMW/oZTBfSTnRreixG+Vade5C507d6Z9u0b0mLSRq08c9YFUJ6sDvSn1W2madexMly5d6Ni+PT2HzuetlwOHpjUmb8katBfLOxi2olXHjsw4ZY5/ossBEe7GbJ40jE6NWmLYsYvYR3uaVavLiOUnUce4MK9xBYYcTtTB/YeVcri3ZFarevTckng+rAtb+xYjS/Ue7BAkbbNtJNXazMXm46wDL7YM68CgVbcTHr8qOv/uNRp9drb91YY+1G85Gy3X6eV2diRVK1XHsJNSJopFHWjbnn4jF/JSOYR3R+hVpyDl6rfRrW/fhiYdhrBs21mUp81J6ZQquFcU4sHTbWNp06E1bQw7aPO6g0EtqgzYhG1QFDYX5tOu+xwsPzbKGF4eHkkNg3E8VeDe9QTdm/fiXKIz94rcbhxiRKNyNG3XkfbtO9C06UjOGDnp4rCIaGt6NGbMbrMEuH+6nJZV23M80bSc3UNb0GTiGULj3uNxYw3dBXg2a9ORgUNn8vvCgdSo05tDevoOf3eVYTVLULNFR1afMyE46gXD6zZg3DldXbQU0Nxw0CrcE3VLrzf2pV6L2VglA/dP906mfd9ln0JshB+Plo3BsFEt2rTviEGbdgyavgMLP3FUsa+Z3rIRC28kwL3r6dE0qDuEhx/h/h0L2zWg85pn+nwIx/bRapo2bklrw/a0a9OEFv3Gc/Ct7nGJSl77Weyjs2FtajVvQ5vug5m5dBlj21ajyzL903Ji/bm9bh4dqtbGQMQ/Q1GGAyZs5q0WCL1Y37sxrebqzuy/2C3KreVMnmvh3o55fRoz8Wj8qSMhX1NmtKzKqM06lI7RmLB+RBXKNmov2qYhgxeuZuGwxtRpNS+Zp+XE4Gt+mO6G9anXqg09R4zn9yXTaVWlKRu101/8WT+4IYN3JILoEBeWd6xGn8X6M+RB1uydXIOyDdrSvk0b+s9dwbJxBtRtMpnX8Vn4ieLwvb2MZjXL0rDDALaIwBH5dLuIKf25Yh1/ekikSww2uxrUp/7HdE2jVdXmYtChg/u1Il1Ddia6NhzsxO8dqjFgrTkRZpvp26kezdp1wLB1Y7oNm8ltF/1oJ9KNPYtH0LBSUww7tMegS1vmXQoWgfgywzr3YMvdxHDvxPJ+tWi35La2zttdXoBh446MnjSTQZ1E2bZuQut2XThoIfpT3Rd472vEnK6VtDFw5J4nBPi5s7JTdfou098HGeXGue2jqVKzNe1F2bdvXZMOs/bxSq2bw/Th7WY6tVWm5SSC+xdrMKzahoP2IYJB7Fk9qitVa7Wkbfd+TFm9glGtq9N97gVtGm13ifbRbMrnL5D8xpRKuNcrOgQfd1dcnJ1xcXXFyz+UmMQk8yEUTxdH7N/Z4+yp+XjW468oVO2Ok4M99o6u+IV+Gmi1ig0Xv+2Cg7KNiwf+EQnbxIQF4O4sftfeHid3NWHv4xMVjb+nC472DngGvScuOggvT3f8tHMIPxCo9sLVI+CTlwG9D1HjIY4xIPED12PC8fbwwFuju1D7IcwfTzcXsR9dJVQUHeqHp/ief0TCMuLC0Xh74qV8L8ycBR0Loio/ldfxE9kTKfZDGN4uLnj7BX886xun/K67LyEfMzKW8AAPXLzEMSbKoveBvjg7OeDo6iuOOIZAUc5evkEf96PAqMZD5IOjE15+uvPEkcp3HEU5eYntYiLx83HFXaTzY3G+D8XbzUl8xwVN+AeRBYGibEW+JMp3JQ8DvESZiHx3cHJH9KUfFRcThZ/IDy9NQjriPoh0iHzz9g8RqYwj1N8bZ1Ge70T5uHkH6TuMf1cpg/s4Ivx9cH1njbm5udZmZhb4JFPhP4SpcXW2w/LjdmZY2jgS+j6a8CBv7G1tsFCWm5pi4/IHp3M/BOFkaYqpdh9mmFk6oAmNIfLdfjq3msQD/4SS/i8r5XAfTYCPF+rgJOUY4s07Ozs8RNuPUdqnTwDRiSpZREAgkVGJ8i46FLWXtwCrT/PzfbAaL+W7iWJdTIS/iDm22rJLqANmWNk6EaINL2Gi7TthY2mhW29mipmj+v+ljn/NSjXcaxWDp6M1pqZm+nKwwNlPF6ujRd/goxZlp/2kU5SoC14+/kQp5SnKSe2tJvxD4o5MpzBvO22ZKn7nkXj6wgeC1N74hYg+Rb8kLioIH09fwj7El3AsIRpvEc/D9GUeh7+rtWjnZljbeYm+MQqNiOOJu7pQDwcsxW+5qoPFEUXjJ+qiv4i9iqJDNKL/EbE0UQXS1kvvT+u0TnHiGP3xVQd+ctw6ReFlb4Gp+B1TU0tcPPWXnuKiRBvyJjDRO1g+hPnh7aUh8mPWRBMotvFNHOiFAtzsMRfHpRybs+bzaR4RGmcsRP03tbDFK1Bpi2p8AuLzRdEHfN7p02RmicPHvI4hWOSzT4AuJkSFKOUWoCu3WJEWsc4/LFFbjXkvjsETv8RxIMoXW0ulDE1xDI7GeGMPGvTZnWgq5KcK8XXEQsRii3fOiM0J9vUiSNunxxIsylMjyvyjYkU98PVEHZjobEyUmndWSl6IeO4l+CgqBLWvvq4lqwjUbko/YoV7sMgRsb2Pr4bwJAUX7OMo8tgUy0/SpeTgH6dLo2wo+g5Xe0ttHVbK2z0gUVq1CsNFpFfJewsrO907BGIi8PNVExyZmFPEPjVe+ARGaOu8+ZnpdOw8i4eCT96Zi7I1tcDF9/OyjwxwwVqst/UMFJwhylOk+5P8EmziamOha2ciDxKfC457H4yvj5/Ii4TM07UzH0L0jBcbqcHWQsRWC5F/ITF8CPbFNyBcm8ZowXJe3v4fBxvfqr4M3Ev9RUXiZvea529scff0wsXmLaeW9KegKj1Nl90i8HO2l/p/Usrg/uuQ5vkO1l57m6jz/W8r5XAv9V/Vl4F7KanPpXln/XHKo1bqu4ysWZ3Bu7/1iRr/vMzPzqCtwWTS0GtYvlpJuP9XpeHILAOy/ZiVYr+VoECWn1D9lI+GQ7dj5v2tjyP/W/ovw/23Jgn3aU8S7qX+GcXxdFk7uo4ez/wFi1i4YC6DWhkycvo+XL6RkyH/n3p7fByNGo7gwWdTwqT+bUm4/1cVg4/tCy4c2sfePXvYe+AQZ2+/wleOcr86Sbj/eiThPu1Jwr3UP6UQpwfs376B9Rs2sXHDWrYdN0nyBCSplCrA5RV3777A99MZjFL/D5JwLyWVjCTcfz2ScJ/2JOFeSkpKKuWScC8llYwk3H89knCf9iThXkpKSirlknAvJZWMJNx/PZJwn/Yk4V5KSkoq5ZJwLyWVjCTcfz2ScJ/2JOFeSkpKKuWScC8llYwk3H89knCf9iThXkpKSirlknAvJZWMJNx/PZJwn/Yk4V5KSkoq5ZJwLyWVjCTcfz2ScJ/2JOFeSkpKKuWScC8llYwk3H89knCf9iThXkpKSirlknAvJZWMJNx/PZJwn/Yk4V5KSkoq5ZJwLyWVjL4E3L8PDSIoSOfgkDDex+jebx4X84EPH2K1f3+qOGI+fCAm9vP3oEeGJOwrNOLz1//FxSr7jBF7+Pb0ZeBe5G10NMlkrVIgRL+PIDQ4WJ/HIXxS8nGxScoljtiY94SHhnwsE+U70f8z82OS/32tRPmJ9H2L5ZcS/efgXmPEmnFj2PvERb/gbyo2RrTfDyQXFaSkpKT+riTcS0klo1TBfZg7z87vYFSbpjRv05a2hq2o36A1Q+fe065+9PswDEbtQxOl/fhRMZpXzO7UiTmnHfVLhMI8uX18KZ1qN6dV27a0btGSjp37s/eFG+Ex+m2I4OWuERiMWIW9fsm3pC8B996PDtC+UGFGHXkmcutT+dyeT4s6VWjYypC2Io/bNK9L6zmHsVDrC8j/IVN7GbDoqq3us/oJS/pVp5IoE2X7tm0NaN64EcMWbOG5Y4BumyTye3WD9fPHcMldvyCJ3m4dRq0q5VnyKES/JG3rPwf3rmfoUaYUE06a6Rf8md7j7+WBX1jCIN33xixaNRzELb8kQUFKSkoqBZJwLyWVjFIM91Eu7Btfiyq9JnH0tT8hoaGEhgZjZ3qfA1uMiRP/rk1sTZn2a/CO1H9HrxjvJwyqWoXBu210CyIc2T2uEr92mMDhV/5iP2JfIUHYXJhD5RoNGLDJmBDtqd5wHq9oS5m2U7HUfvHbUqrhPi6Qi5snUCFPHmqOWYdloH65Xs7Hh1C5Qneu+ATr8ljznCmdqlO59060m2qu07tuGUafMNVuj+cVBlctw/A9T3XbC4eoX7F1XkeKlujDnsdeuu2EQlysuHtyITV+UJG5alvOeuhXJFacPb937UbV3wrSYMbVT68apFH95+De/SKDalZn5rm/0gItmW/QkOln3fSfIcBoM6OHLuR5ULR+iZSUlFTKJeFeSioZpQzuw3m6uieV2s/CLFy/6DPFcm1qB6p03YBPUrj3MWJEndqM3P9O+9l6+0B+a9CHW8k0T7fbC6hauTXbBfQrUzqM1nSmSudZWOtWf1NKLdyHuVxlfP+BbD13nDEderDvhUa/RieXUyOpXXMQjxOdNA24MplatYbySPngf4uBTaow4bS5dh1e10Q5VWXKSQvd54+K4PzEZpRsshg37aArilMjGlKmfEt69WlNjQbdOJcM3Ac8WE2ngYs5e2I57VuM5H6YfkUa1rcN964sNqjHrGvB+s9SUlJSX1YS7qWkklGK4F5zg961W7DgbnKnZ+Olh/vum/H/OK1GL38TRtUVcH/QWXxwYkabqnRZ90a3LqninFjTsyoG8y+jjBFerJNwn7w+YHZ4Ao3aLMA19gOHB7XAcOY5IhJNbtbCfa3BPElU3B7nx1PPYJEuP/1vJgv3k47rz+Qn0nvzzTSr3phtlsrO3mP9+DrPHcMJcT1FnwZdOZlwslavII5O6ESvJefRhDszr0V1xuzTDe7SslID9x6vT7Nt51We3DrJrJG9mXFIX05qIzbOGUjv3r3pP3EhFx0+bYBeb04ztm8/+g8YwOjZh7l8ZA2rdtxEQXC7c1tZsPkaAYkGgC63d7Jk5Sk8ldk1XpcYrIV7K+26SJcXbBnTlz4DBtKv/xBmrn+ovSITYXWTleMNKV+4MFWbdKL32KVcsYoizu4MyxftwCw04cx9mNlhpo3pR78B/USaJ3PsiZN+jRjcvzjJlu1XsDS7xe9T+or1/Zi3+Sy++vVSUlJpWxLupaSSUUrg3uPcdOrWHMQD7z+7tB7L9WkdqNR2MeYu3nh7J9jD/DL9atRi9FHRHgPO0a5udRY9SJji8akiuThf7KfbejzFz73Z2EXCfXL64M/OYY3osvK59qPbiVFUqdafB4EJYOd6eiQ1q/XgnIMn3j5qAt7dYGLPOgzdayGGBkJi0PZX4Z6IxwysXZ3hxz+9sdLn7Ta61u/KqaRwr77NqA7tWX5VKec4rs9rSdWuv5PC2zK/GaUG7i0uzqZ6hnx0W3KAMzeu8thKQ5T9LaY3rcqAJdu5evUquxb1orzhJAH4ulGe181FNGvflhl7rnP9xg1OLB9M+Zw/UarZMi0w353UiqJNF+Iaqt1cK5MV7ShVZTTmSpjwuayD+wt24kMYr66sYdKGC9x79IRHd7ZiULEZkw6I+uTnjMm97fSsUZHucw9y9e5zHP1i8Ls0kvK/GnDBV4kdcVgeWUaXSo2Ye+gU169f59TKKbSpXJFl1/VX9S7MpsQPuag7aT3n7l3j6smNdK9QgjG7HyNn7UtJSUm4l5JKRimBe7sDo6lVcwhPPJKekk+sOG7P7MJv+UvS1KAd7dolcvNaFCxcjfGnBE54HcOgTm1WGv1R23zP9UVdqSng3l3C/R8qzOUU/Zt24kR8NsY8Z2jTWky5otYvEIOyC2MpX6wwtdq0pV2TyhSp3409TzyIjH90jfpvwH30M0bUqkn/AwrkJcj77fZk4D4Gh9Pz6dBnFq/148Fw0520qNWZg9Zp+7kpqYH7d9cW8lveJmx6Fn9zcjjX1/amXo8VuOqXKFfGfu9Qma4r7hEV68v6LrXovu21aJ16xfmypUtZardfoYX7R3O6UrnjStwTTZl6vbE3tRpPwyox3Gun5cSJktXJ990bXr9+wO9969Bo6HH9zdzOLDFswOyrCTdfe1+eRL2qPbiuXCYINWJyu1ZM3GOS6Ok5Mdyf14HKrRfgEhOL040FlCrYkk1P4/cRx41l7aloOIfXfzglUEpKKq1Iwr2UVDJK0Zn7M5OpW6UPtz3/7NyZflpOl3V4hCqPr0xwlMdjhtWuzagjHhB0kQ71qjL/7h+duQ/n9MxOdJl8FIU3Xq6X03KSk/Hvbfm1UB3m7N3D7t272b13LR1LFaLGoN3a6RaKdHPu+3M/PJoPXk+Z2zY/9YfvxVu//m/BfehDBtapz/Srn07NShbuo93Z1f83CtTpzro9Im1K+pZPokbePAzY/PlTfdKSUgP31hdnU7/hSG7Ez1EJsuL3ruWp12sh+/T1YM+elfSokpta4/bh6XoJw9p1WGOS+CaYGB4saU1dAfQ+4tMDMSCv1OEvwP15XQsMsr7G9nmTGNC5PV169qVJ+V+p13k1ulphydzW9Zh6JqEy+FxR4L4nd8W+Qh5soFHj7lz8dHxI5LNlNC1vwAX/EKwvz6ad4TQSJ/ntsYlUriOO+2PFlZKSSquScC8llYxSAvcxzkdpX60mi598esPmp9LDfbeNqJPsPk79nJHKDbUHlbm1nizqUB3DpUa6lUn13pwFvdsycY9uTv7ztRLuP1O0HfPaVKRu13HMmjGTmTMVz2LyoGYUKdeSfQ66RxHG31D7SP8TEaY7aFikNFNu6gH9b8B9uMlqWjQbxRO/T6/eJAf3Ye8u06dqCZoPncdsbdqEZ89hQMvyFGo8HRPlXuk0qtTAvcX5mXRoO4mn8VNoAixZ2rEklVsNZ86s+Howk1lzl3L2iTUBz1aJ8m/FSZfE0+k+8PB3AwH3K7SDvNcre1Oj12o8E8G9+dZ+1GmSCO5r1WDulXeE+j5momEpmk7cj6n+ApHJ6rYC7pejK34d3E87m/Bc1I9wL5IQeHstDRr14rL+yavxijL+neblW3PWL1gL9+0NJmOUaJrQ68PjqVJvNDcl3EtJpXlJuJeSSkYpuqGWEI6Pq0+t1vOwSMwJ8YpTLvr/9afluB4bR+nabThsmXRn73l5eAz12o7hpnYKUCRPV3emate5OOg2+KaUUrgPf7maRpWacSjpBPYoC8Y0rkjf9bqBkZsW7gfyICx+EkQo15a2plzLsbxQYC4guRtqqzH1zKdDqTive0zpWo52K54kTOnR63O4j8HswGAqNBnLS/2SeMVa76V5qfqseZB243Jq4b6dwUQex8/KiXFl37hmGM65rF+QRD6X6FajJpMuJb7a4sVmw0rUbve7Fu4ddg2kerMpWH58wE0gh0Y2o2SVWdgqTVAP9wuv2uH5djkVKhly8eMjVz3ZZFCROh2Wo8N5C2a1qMO088o1AZ28tXDfg1uivsW5nKF3vbosu5EwiUiR2eZBVGk4Cev3H7C9NJO2Eu6lpKT+QBLupaSSUcrgHj5oXrGoaVXaDJjMZSt7HBwcsLe34daprcxeo7up88q4FpQ0WJXMc+4fM6BiBQbu0kPjBzUXFjahVJsBrL1shb2DPfbvbHmwfRRVDLux+r6v7oZPwni8woCiDQdxXfye9jffvcPR1YOQ5AYZ/zGlCO5jPNk+oAaFmqzAPSoJaRPFfQHvZVpMxToiDt+TA6lQrgd3QhPNc/e/TpeSxWizyoRw/9v0rl2SEcf0Z+o9LzOw8q/0WnVJm9cO9u8wu3GQcS3L03rOIezCkv6eQMVXGzGoYsBR/UAjNvA1E6qWoNnkS3xeRM6s7F6BBuOP4fvh832lBaUG7s1OT6RZ45E8+AjiMbje2oBB4SrMOHCDd/b2vLMz5uL1y9yzUXI/mocrDSnXpC3bHoo2Jta/FgOE6jmzUr3dSi2QvzfdRasaJTBcKb4v2pb5VVGexTKQsewc3inVxvs8vcqVZdpFG0L9rmBYtjYD1z/S/tarszOomOlnyrVapj9zr2FPvwbUHrITO0d3AkQdVF8aTeVS7bmkES06NowHK0fSuIwBux69Ful5x9vzm+lZqS4LLupO55sfH0fTxqMTBjBCL/YNp2TlwWjvzZaSkkrTknAvJZWMUgr3iuIivLm3awKNWxnQvn0H2hu2pkWXfqy+56dd/2zzdAbMPol/kt3H+puzcthQVl1NdMYuNgKLe7sY2LgVBu3b06ZVW/oNXc2L4MSw+x7bi/Np0rQ5bcU2HTp0wLB1C7qNms0fTtn/DylFcB/0gsWjDBl7VP/EmyRSmx2hZ7txnLF8T8SzdQwdspTXiZ+PSSwmOwdiOHIZb9+Zs27iQNbf018X8XvJpkmtadTMUJvXHQxb0LznZA7ecyY88S4Sye/dOWaPFOWhP1kb7niBAT0Hs9koSLcgiSyOLKZPz99565dc6r99pQbuHR9uY9rkDZh+cmNpHF63dzGqcxNaGralRYuOTF55Ad9o/eDpgw/X1/eiUUtDDA0MGL3tAofntKdpj/XoUhGLw5U5tDVoIb7bgpFrTnB213JGjd+Ks1JE/k9YNmSQGBwobTcWq+sb6dC4Ba21+7rI+Y2TGTv3yMf7OEJMdtKpdSNadJ/C6bdRxLzeyoiB8zAK1A/14qJ5tXMS3do2x8CwFc3bjGL31XdizzrZ39vC1MmbME/ULGxvrGPAiNUY68KMlJRUGpaEeympZJQauJf6skoR3Ev9p5UauP8yiuHM5JY0HXsp2cGhlJSU1NcsCfdSUslIwv3XIwn3aU//KtzHRGNz4yTWiW6Wdbu6lFblmrPBWE5gl5KS+u9Jwr2UVDKScP/1SMJ92tO/CvexMTxdZUj91gZ06tyVTp060KTRQPZds9S+VVZKSkrqvyYJ91JSyUjC/dcjCfdpT/8q3AtFh3pja2mOmZliU2xcPt6NKyUlJfWfk4R7KalkJOH+65GE+7SnfxvupaSkpL4lSbiXkkpGEu6/Hkm4T3uScC8lJSWVckm4l5JKRhLuvx5JuE97knAvJSUllXJJuJeSSkYS7r8eSbhPe5JwLyUlJZVySbiXkkpGEu6/Hkm4T3uScC8lJSWVcmnh3stLvq9aSiqxPDw8iImJ0X+S+v+UEp+ioqL0n6TSgpTylv2SlJSUVMqkUoKok5MTvr6+0tLSejs6OuLt7Z3sOul/10p8Us7iJrdO+tu0Ut6yX5KWlpZOmbVw7+LiQmBgoLS0tN7Ozs74+fklu07637USn9RqdbLrpL9NK+Ut+yVpaWnplFlOy5GSSkbKtJwPHz7oP0n9f0pOy0l7ktNypKSkpFIueUOtlFQykjfUfj2SN9SmPckbaqWkpKRSLgn3UlLJSML91yMJ92lPEu6lpKSkUi4J91JSyUjC/dcjCfdpTxLupaSkpFIuCfdSUslIwv3XIwn3aU8S7qWkpKRSLgn3UlLJSML91yMJ92lPEu6lpKSkUi4J91JSyUjC/dcjCfdpTxLupaSkpFIuCfdSUslIwv3XIwn3aU8S7qWkpKRSLgn3UlLJSML91yMJ92lPEu6lpKSkUi4J91JSyUjC/dcjCfdpTxLupaSkpFIuCfdSUsko9XAfidPLxzx++pSnT5/w9NkbHL1DtWtCvV1xcPPjQ5z240fFfQjH09ERz4Akb2ONC8ba6AlPxL6ePH7CS0tX/Yp4xRKuEft09eFvvcc1LgZ/NwdcvEJIkhRiw/1xcXEjODLpmkBs3jzl0RPluISfv8JZEyZSoFNcqCcmjx9r1z158hwLBx9SO0RKEdxHB/LO3IRHj5S8N+atuQVvXxnz9In4/PwFbmFxxIQF4GL5GuPnRtoyevz0JS5+MfodCMW8x8/ZnFcmz3TH+uQxRi/f4hUev94fi9fGPBZ5oRyrnW+kfsUXUnQANnZ2uPgnzcEYQjUumL5+yTNt/XrMExMLfBIX/md1KRKvdza8MVGOVVd2j58aY61JWr6fKkAdQEhk8m9qfh/ii5WFM/7h8aX/5ZRSuH8f7MErI1Ee4viembzB3MKMF8/EMT9+hJGFI4FyvP6fVmxEIK4OTviF/vtvD48KcMfRyYuIP28yKVAk3q72uPmFfxaHpaRSKgn3UlLJKDVwH+V8j23LptKnbUe69uxNn97dad60Jd2GX9auvzm1HZU6r8cnCQvG+DxleK2ajNhnq18iYMXpAWsWDKZF/U50792bHl270s2gBWP33sEpUL8R4TxZ3ZFKHWdirV/yl/Tejy3dK9NmwkWSdpWhT3fQxqALp8wS8iDA8Sm7Zg6nT8+OdO4ujqtPL1pXqczo9acIEuuD7K6zauYADDt1pZdY16lVa1o3no6F7uspVorgPsSM7YtH0LlzD/p0aUO5gnkoW7stvXt2p/eQ0ZxzjsXr2loa5i9AHcNe4lh60ql5S9p3HMk9e19dJ6uxZoFBAUrU7SDW96Fn9y70HzeLW27aX0BzZRV9+rajS/eedG9ZjTqd+3Lcxl+g95dR8M1JFMyegzoTrxOtX6aThksLmpOtaBU6i3T16dmN1gbNaTVwH1buunyK833GyNo1GbrbRvuZ988ZUakkJWob0lv5Tu+edO3ekaZtx3HytokYsiVVJLYPV9LGcCF3bIL1yxIrkke7uqBSlWLxScuPg7svpZTCfYDdFSb07U3PXr3p3qIyBfMUo7GoA726dqb/kgOYf36gUv8hhT3fSaPC5fj9mrd+yT+juA9q3jx4gI0moTWbb21PyXL9MEplA4/2teTREzP84k+cxL5hRMOCtPj9sWhVUlJfRhLupaSSUYrh3ucJs7qUp/n0LTzz1y8Teh/swpPr7wQ0xnF9yh/D/TAB98Pj4d77EVM7FqbSyK0YB+gWKQqzOEy7xjVoNOkUrtokRqQO7sf/Cdyb6rAyzOM+o9s3oeGQA9gmSkuM81vempsSGunA7+3Fcc88xUcUjAvF4spjUtsNpwjuEyvYgsmNKjFuj71+gU4uZ+ZTrXpfbrroF0R7sq5TMar23Yyr0oFrTJnUtR7Tz2t065PI/ckz3MP1hRjjxpbev1Gm9zbcvsgMonAuTOpApw5NadB4PE91F3308uXkpMbUEfXiY14HPWRQ+TK0W3BF1AYh9TNGCLgfoof7uIhHDKpZm5Hn1drPOr3n6YZRNK1ZmkknX+m+J4Ymvm/PsmBcR4pnVKHKN4Inbp+3g9gAK7ZNbEjtOi3pP3U7jp+OPlKtlMJ9Yn0wWkSTyp24IoH+m1G0pynHd+zjmWOYfsk/o7iw+wyuWpUFDxKCtPr1OXbvu4pHKk+vB92ZTq1G43jqox8Sx/lw89h2Tj1z/ywOS0mlVBLupaSSUcrgXs2J8S2pMWQnfvolnyuWa1M7UKXrhmTg3ogRdQSAHVAgNI6H89tTwmA275JJxnur3bSoXJtFt5QpOrE8W9OZKp1n/W2439qzKoYTL30O90Y7MWzbjTOWoieLC2D/6MY0G3AwmTO8OoW/202D8vVZa6Zf8AWVarj3NGF8w0qM3vZp4lzPLaJm9V5csErIYJ8by6nXaij3lBGJ1yPGtW/F8qd/bbKT+9HJVGszCTNf/YJU6IP9Ifq0G8u5R3eY3qUxc68lhnJfTk9tSu2h60mI3FHcWN6d5mKZj/JR85xRdWszbE883D9mSO06DDvupP2cWM83daVcw7E8US6/EMSluU34rflsDm4YTp2Go7hp/3neu15aQqeeS3n2fC/d2g3mnPUXGdF81JeA+8C7c2lcuQNn3FMKgjF8+PDhk6sSseLzhw9/dJ0iTru94j/mP2WfMcT+0QZxut/8EJOyayEx/+v343TrP/xhAmK162M+Wa9PU3JJivmD/f3ZccSvE/nwR4pV9hsT8yf5mFT6vE8ujXG6Y1L8h0etPw7dYcTyPvAuoxo0YOn9YG064z754l9LVXxZxCTaPC42Bs3tOTRtM4Un7pHa/PnjvcWn+88uFejyMvFvSEkpknAvJZWMUgL3MY7HaV+jHVvfJDpl/5l0cF+15w4+Q44wU8bVE3B/yEVsZsrIZpUYuM9OvzKpfNgxtDaNJ50gVAT2l+v/CbjvzkXx87GeZ+hRsxk7zP64k4kJeMWURtUwnHAan/BUXrdOon8T7sMer6dR6z4oY6Y450v0qVGbqedtcXRwxMP3k9PnSRTN3fndaD1uO07xc/JToZdr+tJi1A40EZFcX9iKOoM34a5fp8D9qSlNqTdqW8KZ+1g7Vg9sR9eFV3T3Xfj+dbiPsDhJx/9r7yzgqsgWB8yr/6t9sd2ru667diIgHdII2ImI3Yqt2N2N2AomdmJjK9hiIKgIiICS0v39z9x7SXEDd/e5cr7fzsqdmTtz5uR3zpyZ29CQ2UeVHk0uCU/DiFYO/HAljrY92R9c9oJS2djfCJtJAeLvUMa20KHN3HOakf9fhl9N7oM30bVjV3xDitMyP+Y4Azq1Z2mAEnMZHJjZj6HTt7B+Rl+cbUQnyqQba4485OlFL9q1ssfCVJ+WwxdwM6U4n6c/8WfmkFaYWlhhZdGMVl3c8X+umUOdm8aumT0YtWgTW2d1w8KiHwdDSnbWFPJIDD+Cu50D1ja2WJvo0N/7Mhl5mRya3JHe0/aTotlTee7l+MIedBy/AaWmidg3nl7j13B4lyfdxbmbWVuKMAzhZLTmGrNvMaP/IJZuP8Raj7ZYWdtiZaRN7xUniFPJcC5nV43A3WM9GxcNw965HdP2Phbr80gN30/f9i3F8SwwMenMvC13NHVFFvf8V9HZqBlWtjbY2Fgw/ZQypJFL2q2tDHO1wKKZJaZmrRg+/7ymg5RN1P3d9LO2F/vbYmNpiMPELYQkauIxfB8jB49k7ZaNDGzrRNcRS3lYRtYz7+5nYJsubApUYuMFB+eLtFqyiz0rJtJGhNHU0o6engEUznjJS7nH0p6tsLW2xs7WDAOb0Ry+k1Tk5/lZSewZ05Pm5ubYWJmh13ECi2bOYUynxnz50WfU0TXFostk/B/mEnd4HB27zScqK4x1I9rTf+XpUnk+aP0YnHstISIhlZve7pha2Yhz2mJpZsS4/WFkF2RxeuMkrBt9w6dffo+ukSU9x68jJjeKJYNbM3TjLc30u1yS72xlQNfmmDezopmZGV2Gz+ZWmub2WOJDFo/owsyNh/CePlCdNg4tmHwsSpM2EomUe4mkXCoi9483D0JX240z0T9UxeZzeIQTtQ17smX/EY4cKV78tszDpm4T+m2JhufbsNNrwrSz4u9yyeLgxBbUdZ6LMmvi+qKWv7zcO7Rl/70cEvf3p56pK+d+RFojz6/GsnoVapt3ZMWxC7/Q9JRfUe53TkRbx5UTRdVfMpsG2qHbdgEhoh3NiTnBkGYWmNvaY29ric53DnidvVNiXmw2kVfPcuTgQXatnU3v7hM48ZIIV4D8+0xub8vgVYo8i+AfnYZOgxZsCSmUyefsGm3O99a92HzkMH7Hz3N00xw6dB/JrlD1Pvk/Q+6J82eAgYifdVdKjSJmX54vpKgnB+6XuaakY7jpmzLvivqOxqUZranbbBwhSi/zF+JXk/urc2kiytiSG8X3oPIittGsfi1GHlVSNg3vPub8829fM+HAA2JjHrNudEuqf/AxTTstITAihuiQQwxsVo0W0w+ixEx2mBJ/Veg8dwv3o6OJjgpm6zBdatn24li0YqeZbHD5kn83bM3qA3eJjo4jPadMBzgzgEHWZvTZcI3nMTHEXN7AmtO3SUhLYH2Xehh1X0vxbLjn+LrrU7fjTNVdmjCfFnz0RQ16j9lCqHL+mGA8OwpRNRnCJeXScwPprl+fqoZ2rL70RGyP4fGxuTTXq0LXNfdFmhdweHo7qv3rW9x9bxAe+4yktHxy7m+hhXEtungFiDBHc3v3bCxqWrLsXAzJYb44Gzoy/1w0MeJ4j04tY/WNNPJFJ2ewjSEjNlzgWUw09wLOs3fjedVD9an+09E3N2OA91XVd2Ii/Bne2oC6nZaRqGSdB5vE+T6grv0CroVE8TzhRZlnTUQn6vJarL5rzNzjSmyksWNwNf7ybn0mbD5LrAhj8KEZNKhvxnR/dfqm3N7M1J2BxKdlk5PzjE1DmlO/5RJilKyb9YwN7i1p3HAIh28+ISY6jD0HDou6OIyEmH101dNjzJ5HRD9PJCOngHur2lCvcR/uFmRyYkJzalqM405h1sp7xMxOTbAavYfI6BgOz1nJ9aRUcc4cIvyGY6pny1bRQchMTSRk+xAMRQfvgDhnXGIKefm3GGj5LQ5zLqg6QfHn1tCucTXcffzFsUR6PjzPvE7f0MBlDsGqLPqQyQZ/4N9ftWbdsRBV2pxb2o6vDdqz/ZHUe4kaKfcSSTlURO5DN/RHp0k3zkb9UAVbwLFRLahetRFtXNxwcyteura15tuvGzFw2zOI2Yytni6zzr+qbGZzaGJLDDos5ak43bVfUe7jd/amjrkbF3+Ct2Y8OMPcnh1p+sU71OswBf+oMhJTAX41ud87E4Nv6uM6aj4L589h4pDuWJkPZt/1Eg8VFJHJmVk90atpxLKrhWKYiv+C0bh16ECXwUOZvGwlvteiKe+K81KecGL1QubOX8D8+fNZ6nWA8Mzy4yb+/AIc7PrgVzhUn3uX0TY69F9zQzMCGse+ic14/1sdOrq50tagGh/qD+dy8dDuz5P7BCFkBnXpufpSabm/Ur7ch67rj0GLeUIxNURvxlnHlGVB5T14WzF+Nbm/vghjHWO8bqnmIKnIi9yJg542406o5d6nvxUNWnkSrTHL7CvLsfryY0Ydeqheodx9m+BMPae5ROTmErCqF9adF6mnQxUSH8gQs3p0X3ZFlK0CvNvXwajNYpFyryDpCM7V6jBg1TXNCg25UazrrotVP+8SU+Li2DXKAh23eSgzwB6sbUsTi94Elkim/PhjtK2nw6C9Sl6+Ti/LJrRbflm9UcOVOY40Nh3HU5Fj/Wd34IvGQ7lSNJ8wE7/xnbHs7lV8d0i5jkGmmA3dytWLazD4zIAV14pDpZB7byetRKfBdcMjzZpC4ljhakOXxadL1zWha7BsbMjcm6KujdhOu3pVGbzrrmbjy6Rf9caxgSGLVPL+gi0DdTDu7qmKBxVZkcx2rIvzmMOqDkUhoUdWsGjJUmb2s6BWkwFcy80n4fQCjOvasOFGmfmRClnnGWBszKwLxaG9t7Yzuob9UFIo6+4GHHWNmHdSneq5tzfQ3q4da64U3xF68fAcXgsXsXjeIAxr1WfMMXVcpZ2ZiIXdSC4XxnV+EMOa16PNkhsiMyazYWQr2o3Zpeo4FpIbLDpajXWYfiyWguxwxptXp/2Mk8Wdnyen6aLdiEHehXlUUtmRci+RlENF5P75wVEY1GvF/h8cstZMy2m/8uU3I2QGMVBflz4+wurSj9LasD7DDxZPxijNCzYOdaL92B2qaRiXKzQtJ44lretj735QI43FpF9ahZ19K/beyyPl1Fjq67fiwM+YS54QcIBhVp9T320+D9UDvBXm15L7yH2zMKxam7YDJjJl4jjGzVnLucgfGn2OZ7ZDAxzGnCglwSoKotg7Tp+vDfpwouhdmcXkJodzcOFkxk+cxMSJE5kxZzsPM8rrBCazd7I1/3ivLq17D6R///70H+CC4bf/5tPWc3moEvg41bQcg34r1Hko7iQ9bb6hmcfOotHdnyX3jw/iYmHI1AOa1wBpKF/uI5hkX5d3vzET4RJhE+Eb0KclX3/0ARbDj6unBP0C/Gpyf20BRorcB5WQ+ye7aF5C7r37WtJ58pHikfIHG2jd0JA55wpfQZvJvvEtaCxk/VFiEqu66tJy3BnNtkIe49ldB7ORm0QXELx7NcVpfDn5poh4TnlNwa5KbRx79GLmjktquRP5ao1bEyH3PqXkfvfoZkVyH7KuCxYua1VTdIpIuC7qEm1cvZTnd67T19qW+f6FT46rebTJjSZNenJTaPDxGe3EMZYQWpgls+8xpZMOtY2c6T9Qnc79+/emWc2P+LbbGsJTHuM7xA3Tmk3o3Ksv6y5pujZZMVzc0I3a+gY4dRnAHB8hrAoJfnQ00WfSkTLSnx9Ibz0dumwTphuxhbbGDnieL9VNKkVpuU/Ae7g97SadU29UyItirZsOVv29VfGeGbSZEQO60aZjD8ZNmMToLkbUqN6Bs5lJnFragXp2Hlwrx+3zUk/Tz8iI6WeK836h3AeqKstUVnUzQLf/LpFG6aLj3w7jzlMJVQpATiirhvSms4sLgzzGMWl8Nxp9V4+evur4Tzo5DnPb4VyM0US2Ru7bed0hJ/4Ww6x1GLw2VL2tkPRLDLGpi8u6K+SnhOPR3oih26M0GwXPbjDMtC49FpTpHEoqLVLuJZJyqIjcF8QdpmPTugzcVY5AFfFTHqhVGsAXeHbSx2DQ7nJHgkk8zUBnO8ZtVxrvCj5Qm/+C7QOaYuSyssQtfzXP/GZh59iD48IeCmKP0k67CUN2vmqKUPnkha2mWY0mTL1UYki5Avxacl84LefkT63+CpJZ2rYedoMPvNQZUhG7E6d6dZl4qrQk/yyElLs3q4fToOXs2r6NbdvE4ruDzTO6U/uzJiy7oh6x3FHmgdqnx0bx/ZemLL2iltafI/f3d4zGym4Ap8s8BV6e3Ofc8cKmvj7unt74KmFThW8ny4eYUkO7A6eKDfS1+NXkPnwbTkY2rLlTPMLKUyH3TUvLfbtxB4ofir+/jpb1mzLrTKEcF8v94+QXbOpvhOOYk5pthYSz2KUxFmN8xRFhQz8jWs+7qN70Azy5dJitC4dgZ/wtDgv9ych7wYFRzbEcsLHUnPt9o81LyL0L5p28St8VSLwi8pEBQw8q+eGqkHtrZh4vLfcPNnWnqe0MYsjh6LQ2tOi9SnRJNOQ9YparCcYdPdiyY7s6nbf5svegHxcePNPk/3RuHdnBurHN0TYxxH1n4fNBBTy87IfPqpEYfGLIwFl+ZGZcoY+FEeMOlhlZzr1AtybadN8laqDwTbS174x3wKszUVm59xlmS+txJeI+9wmrXHWwHaIMeoQwrU1djN3XcLkwK12ahGmjNpzMeMGFFV0xazmJe+X0uPJST9FXyP3Mc8WVdKHcX9ZUyBHbBqJr0J9L9y8xsrU+/Teqr//k7DZoN+rBwWuFsRkkOjBN6akpe4kiX5rbjSQgVnOgQrlffpu85HuMddan36ri1yGrSLtIf4s6uHnfID9VyH1bfQZvLkotiLnKEJN69Fqs6UxJKj1S7iWScqiI3IsmgVOzWqNTtw17HpV9qDabuGdK8/wT5H6dupF4cWomek3qMnxvWOmHFbMjWD/BGf2OU7mqavGVV2E607jtxBIPXRaSTWJMLHGp5Y2pFvDgwBgaNbRk08OSo8hxrBrQAudBa4lWNXwpnJxpz7cWnfF9UEKKFHLTeJGUTGZ2JkkvSitv8p01oiG2ZmVQ+dNPfiq/mtyX80BtMQXk5GSUGolOv78J+xo6jPIT9WVBOs9elP7es6Oj0G9oz4Z7P/RA9Q/z+OhEdOo7s6Xs75QRxkSHOtjNPC/+zmTPyDJvyyl4yqoejfi25Wz1Q4jJAWXk/gxuekIa9pY0+FxCT/nQvr4RI5Yr00dK87Lc53JuZmtqW44jrOzOSYdp10gb972vHnX9Ofxqcp9wgnaN6zBoe3EH7J63G99Wq8K408pF/XS5b9R6AU9y87m5sguNrHoTkFKc/7OCNtNGSOuEXY+UnMTq3oa0mq2kXfkU5GWQVqL43FvckqrWo4lIShcdd2dq23pQ9CLX54H0bfgP9HstUsn9o7WtqNHQlu2Pii014vAUdBrZoJqlUXCFnkIM9YfuVN/pUciPZlmbJhgN2ifCV8DhqW1w7LmCsKJDZHBwQit02kznpYkeBfnk5WWWKhubutelTj9fMjKzKflyl4sLOtHAcJjIval4dzfHoN86npTYHnNoNI2bOuMbKS7+0Uba2HZg/aWyQw3F/GS5d98twneZtg2/o/euws5COrsGmvPNR06cyBG13JmlmDe2Z8mZEuU1L4e0FznkpZ1TCfmUM8UZ/e6a0nJPzjU8HPRpNaA/zrZ9OKHqXeXh41obHZeNql0U4g6Momq16nTboc5zL06OxbDZQC4V3jzKv8VQIfetl14XHxLxHWGJvst0HpWoXmIOT8a0sTUbrom8nB7K6DZS7iU/jJR7iaQcKib3gvxYNvVrgUPzFkz02cb27dvx3baRmeMH0HXSBdUu+/qYUsVyBtFlfDUv+jQda3xPp+WFc07zuLWxL4YOzek50Ydt233ZumULy4a0RL/HSHZrHp5UGq1zM614t6Ylc8X5lHNu27KZPccv8CjkCD3sWjD3+Eu2qObFY1Z2bYxZ224s2+KL79bNrJzXDzObYWzVjAKrEA3KhrHNqOvYl9mrNouwiPP4bmFq1x7MWXWMiMe7cTLvx3JxjO0inNu2raS7VXP6TzpYYsSxYry23D+5gFvdL3GZV/qW9eMtI6n+jR3bgspL5xweBq6ix3Avtvkq17OW3pbWuPRYimpiQU4wU0ZPZv6C9artW9ZMxcW5qeiYXVJNB6gIBZmPmWP7ObVbz6HEDfcirs1ry9eN3bj1JJLtg5vwfdvppTpzSYHLMfyoKl3XB5GWdAXXWt/Tbukd1baCzNO0FwKr22uhOk/6bmOz5whsbdozbN6Zlx5cVMi+NA19vfbsuquW45yI/bSt8TdMZ50q3dlUEJ2djW51+d5xFo9fI6kK+SXkPvHwEOp/ZcqmiJIpksQu0bmuU9WGOSKvb9m1keHt9fnnvz5k5EklFlJZ6aLI4a7iZwruLqfZVzWZcKJwSkkGO4Za8HWzyQQrRTAxmCWd6tGsc19WbNnGlk2rGC7ygss0H/VvPOQls7hTHSwnnlI+lUt+7AEGj5nPmg3b2LZ1A8PcWtFh0n7Vg6bxtzdg/mVDnAYsYvP2XWxaMIDaH/yZep1mqo4fsbEDX1epR4eB89myZavIqzOwamBBz/F+qrsG5Fyhb7P61NBrzozVO8T2Lczv4YSFuSO+95S4yWfPKCtM2y/iQYlR7LyH+xjduroQ8nls3CrKwGZv5szw5vr9J8Tc96HncE912fBdjItTazz2hJJ0+TTLhndn2TalrvJmQkcbeszYrbozWBCynS6tDTDqs0h1F2CbzwRaOIo6wue66F4I7q3AWl95aP3VneO0gJWYVqnDzKPKEeNZ1UcfK/cj6o0KuREsafkdTbt7i45MPOv7Ned70yFs2byZnVsW0NXiU/7+Txv2K79EXZDI7oW9qN6oMwtWbBH7rMFjjid7Ved/zopOetR2Gsvm/ecIT8wnZGULvq/ThYslOicBk3XR0vonTtMCNWvEZWwZgkmTJnis38JWkccmu1rw3398SKfCHnvEPtpp16LdhOUcOnOLtLzb9Df9EqsZZ1Ud7OzQ44yzrYbDoIn4bBXldM1setjoMWT1SfVUrec3GGBdi+7rSnS7ngbQo/6XdJx1RbNCUtmRci+RlEOF5V5DmP9yuvfoSd++/ejTqwe9Rkxhl+pVB6Ly37uaOetOk1LGqPJTwti2YAG+AaUnt6eG+TO9ew969u1Dz+598Jixp/T8WtEkRF3yZsjggfTr25d+/frRq3s3hs5aw97V02ndvg/+T0u02mXJjWK/5xC6detD7x7dGDRxPlde8Wxk0G4vhnTrRi9xjn59utN90ELOhCijSTdYMGYIvXr1FmEQ4ezVhzE+v8z8z9eW++Rwdi6ezfZzpeu5xFuHmT93A0ExJVrrEiQ+PM74AX3p1aePuK5ejFx/WS0hGu7v8mRELxEXYnv3bv1YdeR2qe0/l4LUx2ydOoMNR8qf1pX7+CiLZ0znbNhTbh30YsHWU6pfBi6iIJaj68YxbMN54hKesnvxArZe1Iyk50ewY+ZEBvXtTV+Rdn1696LfkGlcUr8LsVzyIv1Z4bWNO8/U5SDz4Rk8x0zmWGj58vUscB1j5q2g3OeRfya/hNxnhBxkyezV3EgqU47zH+PtMUyV17u7ryLwViA+K5fgp7wiiWwub1/OhkN31GKs8CyAtbMXcuJh4XXncPvQGuauPUlsYRnODmPHokF0695LlRemeZ4o/n5eJheEAK878QPT9dLvsXLKCHr26EUvUb6GrTpCcbbMJ/j0Bgb16E63voOZsz2Q4COrWbjFX9WRvLu+G44u8zlxaKE4f09R9voyblOJEdzMSwxs7sDUXftYPkwpo93p2Xs2558Wlqlc7hxZx+ptF4gvm4ETLjFn/EC69+xNTxGuqVtOq0Q9+8kppgwW9UxvUTZ69mT6QfUdIp7fZeOUnnTr2Yceoj6ZMO9QiWcFBAmXmTl0gKqe6Cmux/NUidHnZ4GsX+FN4OPiaWBlyY68zOo5izkdqoQ9nct7V7DuUIn56flJXNw0H6+dV9QP1KbdYek4d5Emol5bdoAbV4+yZtF6goruumVzYf1cBojtyj5jlm7jgeaWROrdXQzv34NuozwJjMgl7cYWFizeQUSJIpN1fy9jp8/lwIOSeSyHS+tGimvsRs+eMzkRcpUdKzzZfq0w/+QTtGU+A0X+G7dkF3F5iRwSAr/u9OPiu2fxAXhO7kM30YZ06zaE5btK3HVMjWb/+oXsulqiHL6IZPeS2Ww7U96wgKQyIuVeIimH15X7N4Nc/BaMZdSsI6Ul8HfGa8u95HfHLyH3lYUbazpj2nFFaYkuiZD7vlbKnPtXPZwvkUjeNqTcSyTl8HbIvSjbT6KJiS87Qfr3hZT7yoeU+5/Oda+26LVcrJ4CVB6Z5+lmYsKkkiPcEonkrUbKvURSDm+H3L8dSLmvfEi5/+nc3zUGt5Hbih8ALkvWLab26sXq86/xFieJRPK7Qsq9RFIOUu7fHKTcVz6k3EskEknFkXIvkZSDlPs3Byn3lQ8p9xKJRFJxpNxLJOUg5f7NQcp95UPKvUQikVQcKfcSSTlIuX9zkHJf+ZByL5FIJBVHyr1EUg5S7t8cpNxXPqTcSyQSScWRci+RlIOU+zcHKfeVDyn3EolEUnGk3Esk5aDIfU5OeT/KL/mtUeonpZ6SVB5kuySRSCQVRysrK4uHDx8SFRUlF7nIRbMoZSIyMrLcbXL5bRclLSIiIsrdJpe3c1HSW7ZLcpGLXORSsUU1cq9IjPKvXOQiF/WiyEVqamq52+Ty2y7KXZTk5ORyt8nl7VyU9FbSvbxtcpGLXOQilx9eVHIfHR2tGciXSCQKclrOm4OcllP5UNJbTsuRSCSSiiHn3Esk5SAfqH1zUOon+UBt5UI+UCuRSCQVR8q9RFIOUu7fHKTcVz6k3EskEknFkXIvkZSDlPs3Byn3lQ8p9xKJRFJxpNxLJOUg5f7NQcp95UPKvUQikVQcKfcSSTlIuX9zkHJf+ZByL5FIJBVHyr1EUg5S7t8cpNxXPqTcSyQSScWRci+RlIOU+zcHKfeVDyn3EolEUnGk3Esk5SDl/s1Byn3lQ8q9RCKRVJzKIffZaUQEBXDzYTSqn8LJSyP8xmVuP4giS7XD/5oCEsPuceP6HeKzCjTrJP9LpNy/OUi5r3xIuZf89uQRH/mA0Ijn/F5/vjA99jFBd8NJlU1Xpaficp+XyoOA3WzYsIGNu68Ql/6ylBbkxRG4Y7PYZwcBIbFCYf83FERdZVBNLb7oMJsQZUXyZfp88ifqtZnAQ9UeP4PcZO6d38kG741s3OiDj48PG9atY/uJAGIrXKBy2OFmwOfvN2Dj41zNuoqRGHyMJdNm4Rv49H8W328DFZP7FG6eOMTxWzHka9YUkh4fzCm/04Sna1YUkvyQA8vnMm/RYhYvWsDCJRs5HfRcs1FIzoODLBPrFy1axMJFS/E5cY/MPM3GSkKF5D4jnKM7VjJ37gIWL/VkrbcPa1d5smihiMvlqwl4XkBmdAjHNq5k6dIlLF68kLkLVnHiZpzmAIKsFO4c9WaFp7J9MQvnz2Pp2s0U7ZIajO96T+bNX8iC+YvZc+XJ65e5nCRRv/iycrmn+pzz5rFqlz/xms1K/XPt6CFO3S4MRCKXjxzkVHCC5rOasOM72bh5P0rNnh9xiW2r5jFv4ULmL1zL6bslrrEkaTfxXbuAeQsWqeJj4ZJ1nA99XjovZ0Vy9IAvOy490az4dXgduc+Ke8zpLatYtkydbosXiWtfspWrkZodNOQ+D+H4vsPci/m5v36cQfClQxwOfCj+krwe+cTcPM7B4zdF7fm/JomNI1vjPGg1zzRrfm/cWtqLGrp9uBSlWVGGgpSnnDu4n6uPfiy284i87s9+/9skv56SSP5HVFzuM8Lwcv0QLS0ttP7YgMWBsZoNxSRemkfNP4ntWv+m26KT/NQ8khpxla2bNnAspKwJVYyCp9dxr6fF1y7zCFVWJF9lwJd/p3GHyTxS7fEzSLnDnDb/Vl93ieUD856cSdLs87PJYVdPU6p+0oTN4a9XkoJX9eRjER6juVdeEkzJT6dich/KaOOa6I899tLIz5NLc7Gsa8uWEoLx6NA0Orm40KPvGDwmTmLSxDF0btORnu7HVNvvbPekf+u2DB4/nokTJzJhaCtqd/QiIqFypWyF5D79AbvXzWbMmPFMGtqdBh/+i3pWvZk4QcTljHmcjs7nye7J1H33Sxz7iH0mTWBUTxdsdE1YfvKeuq56douhph9Qx2GQ2D6JCePGMmWBF4VVXcTmaQwc2Z+x4yYwvrc9usY6TDr68PXuBoq6abzlR1TR78AE5Zwe7rg41Md00nbup4nt2fcY0qQGVpMvqPfnOn0afY/13MuazxB3zhO7T/9LqwmbieAFR1fOYnj3wXhMmMDgjs3R/74FW0uZbi7XDy7DzaENfYaPwGP8RFV89DI3ZPiqPSRr9lJIOTsN3Y+1+D+dGfyaev86ch9/ZgUG73+EmesYVbpNmujBiO7daWXpzOht11CiUSH1zAK0P6zOdL8YzZrySQs+wfJ123kQX9h1i2Jm26pU77T89eMg+S7b163D/27JWK5M5HB4WEO+0nYnWLPmNyPpNr7r1nPmfqHoJrF5THtau6+leHjl90WQZz/qGg4g8BVFJy94H/ZffESvlT8W2xlsHaDPR4Ye3CosML80uRHsWr2KE/eLhi4kvyAVl/vMcNb2+Za//fu//POd/6I/4ah6yksR+fiNNOZf//grf/vD1wzwOvuT5T5wpjUfVP2O4Sd+mXERRe6H1teiWpf5RXI/sMo/0e5YAblPDWZxp/fR+tyB+RtPcu7cWU77nyTw9gNeVNi5ctjdy4xvPtNhy2vKfVZ8BNcuXSL0+c8djZKUpGJy/4jJ9nrYTD31ktw/vbKUloZt2akZUUm8sITmpnoM2xFAqXHUvBQiQhKEPxyli05teqy8qdmgkMODx8/IqGRTtyok9yXJvM8Is4YM2RChWaEmfOcEtHVcORmtWSFqsK39danVfCrBStLHXWdIaxM8/FLVm8uQEPq4xMhtFnsG6VHNfjoPXmcI8sVVJlg3wG1ZoGaFCNWlxWh/r83M40ojGIaHhS6t5hRuVzogOrRaekP98eFOehp8jcvc3SSqVmTyKDKR3KK66Qmzmtemad+1RGuy0eMzi7E2tGfQqmuUGk5JiSE6NobiUpDK/rHd6d/PBXt9J7xu/3qTF15H7hPOeGHcyJlNdzUrVKRyY4s7DfUa477nEcrNr7wX0QRduUFU0g9fR4rfJBqZd+RUUX8om6jQ69x4EPv60zqfHaCzuQXTDvxedfJ1KSApPIhrQeG//V2QmN10MG/G7KOFd72S2DK2A22Griu+U/Y7496K/tQ1GvhKuSczkeBrV3kU+2OxnU9c2B2u3okk/Ve7U3yF7oYGTDxaul6W/DK8ltyv61GFP9ZogkGN7/i+ehdOJZWQjoRjdDCqRjUTY+ppVaG31xmV3Ge/iCUiKoak9EKJLSAzOYbImDjShUwlxD5hTedq/PWTavTZeIMHkc/F+iySY57yNCaeIq8pyCI+6ikxz14UdRryM5KJDn/Ew4cPefzkWVHFWxD1CrnvNI2wrBSioyKJiistwzkpsUQ9jSSprCMrct/+32jVHsS1soMt2UlEREQQFVOiq5uVTEzkAyLiiw+UmfyMiMdKOMN4GqeEP5c9vTVyHyGuJi+D+JgIIp6lkFfYKOekESfWPU3MKBqRz0t7TkTYQx6ojiP2FesKcjNJS00mK6+AnIwXPHkUQVxqRonpAnmkJUXzKEJIoibi8tPiiHj0QBwnnOfJP1do305+LbnfpYhkwW3G2jSl5cJL6o3lkHVlBvo1jFj16NcTqN8Lry33TwMZaFSPvp63NCvUROyaRJPG7dlztzidX5xeiKltF44pIhd1kn4O9iws2b/6AWK2uqPt4M6t1/G0F9eYaFufjrOPF+ehglDmtrWm69KLohxHMeEludel/ZqHwoiv4tHmO5q6bxB7vZpTC9pj0X6u6CYIkoLwsGmEy+xX58VCCh7twLV5R9aeecTW4WY4TvVX1Tm/Bq8l92dXYNrAjhUXX+5l7RtsQu2WC4lVIjc/h4y0dLJzC2tHITQP73Ar6Da374Xy7EU6qXHhnFk+CF3z1qz1u8X9BzEiXQrIzUonPVOdQnmZycQnim5RfgZRD4JU3w8X7dJLZDzj3u0gbt++zf2HkeI7MYT4e9JGyP3QZSe4c+8hSdmvGiEqID4yWBw7iKCge0QlFNcL+XnpJMQnibQoIDHyLrduBREa/uzltClI5dF9cW3i/LfFueLTivN9ZkIEt8X3gkTYH4jO4Eso370rtovwB4clkpmWwPO45FIDdkmPQ7gddIuge+GkFjU4+aQnx5OcUUBB+jNC74jtd0J5nlr8zbzsDNIzsoraNRWZz7gvzndbnO9uyBNSyomXvKwXIg7TKMjLJjr0luq6g8Oelu5w5Sfz8P5d1XUF3QkmRjN9OCf1GcHHF9NKyP3IFae4GxxGSm4iW8d2pJPHdhG+aO4rYb37gHiN3eanxPE0Nr5E3V5AevwzniWUkASRFs+ePlffHRJu8SRYHEPEd9CdBzxPUZ87LS6Wp/Flh8PzhPtE8kyzOjk6RHU9Spgjn6eLM72KDJ48EHn21i3uRUQT4DUEbRMh90o7k5dJfHwiOdnpxDy+x537T0nLyyUrQ53n0xNjiY0rE46CTJ7FRIt8WKBKl7SMbHW6CK9QjpUrPiVGPSBIhO2eyGMvdW5zkwkVaaZcc0hEMpmp8TyLV7tJSXJEXD66ton2xkYMXnGIoPthxGflkZn0nNiEtFL7ZybFEfM8RRWO7NQEEl7kiO8/58HdW6LMhJOoCkQu0eIalTh7EBX/ct4nnYg76vx7O/ghiSUybl5Gkqr85mbHc098/3GsUpZ+/7ye3Hf/REhudxaM6YLOdx/S1bf4JuWDDT1o1Kghw1dMobHWl/ReeV61/voCU/7v8yaM2l44DJLJ6SlNeKdxK7bcvMvKvpa899f/4x///g/vvftfPmw2Ev/QADyafMv3eq5c0AwtFWRfpGvVb9FzmKVqyPKfn2W6iyk1v/6CLz95l/98VA3X2YdJVkris5vlyn2TrguJenKStvU/p4rBJB4X1R+ZbOqpy9ffmeJbtlOpGrn/AK0v7ZnjfZSTJ09w7NgpboTEkP/Un266n/JhLVeOq+r2LM4v6MAXH1Rl8F7RlCrPKRxdQOumn/P3/37Ae//5l2hoRnJV5KRjA9Ry76tM9nuyDzeDv/N3u8U8LWyf7m+ibZO/U3vMYRG6XJ4H72GwQz0++fB93n//A+qaD+OWqAGe7/Gg6Zf/R+8DT3ketA+n9/5EvcGrCS+skRKuM8XhI/5rNo47IoypIbsZ4lyPLz7+jM8+/IhvTfrhe7FoKLPS8mvJ/Z44UR1fnIahjhtH4ko2jaUpyLjFxLb1qdl+FpdeNUe6kvBbyn3CienoWXThhCgC+Y934fRtdVpP28L27TvwOxVcYhS7DHnPWN/dmtbjthP9c7NNScqT+/wQJjc3peuyy6KRj2J8GbkfbmWIy7J9eA1xpk7rGVz5oemBaTcY3cqePkv8RT0ioub0dCwN2vHjA8cFBK11x6b9WIJEHfxs/0DqGXTheIWnIv4wv5bcvzjugX4DR/aLcOfc8MG5iQXLzySIOE7juu9CXIxNsXN0ws7OBDev01zfPRUrvdp8XqU6+mbO9HD3IY7nrBlkisXQLSiXHxOwiBZ6LRi/fDHD+jhia22GsYET2+4Ul9ss0VGc1c+MOmaOODs542Rpw/Tta+jtaEL1KlWop2dNW5fh+D8t515AdiI31o6jUwsjbO0dsbewxsayG36h6ulE2fFH6G1gwoA5y5k8vB22tg4Y1dNj9sH7xfk1JZTd0xypbdIcJ2cnrHWaMuXgDZWcR15cyWAXS9GpbY6jgy1WpmbMPR1MUfckOQTvuT0wMHHE0UkJfzfcHJtg3GqWuoMoBPOuOEYbY1ucmtti0ciE3hN9iFGNxKXjt6AXlq2GsmihBz3a2mJtYIhtq+nciVNyeB5nZjhi5DSt6C56VkQgy/rooWsjzuXcHJPaLfG+EVZa/gWxl1fS3KwT81bNZ0RXW9V1m+h+T2+faySqbDibB94eOLSwo7ljCxwNamLeZwa3EjKIu7EFNytdqn1VhfpNrWnv5sFVIZG7p7nSrO0wFs4bhVtrWyz19HHsNJ+wpHyyrs3BSN+RjY8KQxLHEtvGNLaZyRPNqhT/yZjZjuC26Hhc2zFTdB5ssBfx3czMCJOWS3mUmM/txV1oZD2OByWqtMz73jibWLIkIJkn51bTt60RNiI9rJvZ077P1vKfR0h7yrkF3bB3bCau3RbHbt1xsbGgjuVIbij9s9hABrc3oc/4+Yzr04HW3b2E2B6jr6lI+z3RBG/oir7tWO6XqK+SrszHpIk9O2IzODm9PTpt5/NAicunFxncQo8e45czY1gfHGxt0DU2oN+2OxTe18yNv4nn5C4YmjrQ3LkFrVq40UnEj6XbcspOfIu7so8xLfWp+sVX1GtqgmMPDw5GPWP3UAcMe3sTXaJpPDmuHdqtF6mmB97ZMQo7y+5MmDGJvu1sMWqsR/O+azlxWJQl1zYiHpqJfGrCnNORRfVnXvxdVs0dINLSVoRLKZ9NMRu5lWBVD1+UX7+RNHPuw9zZU2hr68jkjaeK8/7vmNeU+4/R+rYr+08dpod+dWo4LVDfCs4PZ3zLRtQWny+eX0IDrc/otUIt91dn66H1bh2GbglXfVZE+uT4OvyhhhUrrycScekIY2yq8o+Pq+A0ZhW+J68SkxpI/+qf8FX99pwrkvvzdPjoM+o3m6qS+8wr3owfM5IV2w9xwm8P07ro868/fMOcy4nkJwYzvEE5I/edZ/JUFJuNHevw3w9rsTBIk8uT/GhR+zOq2654+cEaIfdL3KqipfWHEnPu/4xZT29Vbz1saz+q/PU/NJ97g0RR6Xb67p9C0NRz+J6cnE69d7SootuKCcvW4bN2Gct9dvIwO59DouIvkvuI3XRsJI5rPo+owlJ9bwNOdbT4dvRxMl9EMc/pP/z1G1umr/Nl26aVLJu/jlBRCKO3j6DB+1p03BYr6tUIFrYTHZFP3Tj2UH1tMaIS1v3zX2mz4BTJcZfobVKVJl2msGX/KU4d3Eg3g0/4vFEXTlfWu8Qafi25V6TiwbJ2NDEaxu0fqUEy7m1ngGN93v9QD/cZa7jypNSkiUrDryf3E9HWEYJaOCaRHso0R0Os+m/hqWisc0VH2HPYUAb070ufXq4YftaQwZ67iFGJg0I6V7d6MnX8eEaPdmfwpM2Eln6u9ecj5H6CTQO6Lg3QrICQTQMw0HPEN0hUBnkPGVtK7u/iYdmAz2t9y7eNXPErr1+eG8X+9YsZL8I5dngfxnj5EaGSkVyuLW1LbdtB3CxrTmXJi8RzgBOuU4+qhDDv6TFRRzVhhOpW1C/PryX33FqCsY4BKx8Kub+2Dts6BnheSBZpfZh2DQyZcUFTcjOCOXFDrSRpJ2dj7tyb80W3Q6JZ2ksHg/4+KrmPv7aMOlrvojt8q0byUtjQrZEQkumEKUOAGSHM7lRT7L+M25oi/OKuP7cUW0k4Tp8WLZh/5FUd+GxCd07B8Bsr1l7UDIjlJbGjX1PqWw7iipLfMk/i9OF7fGbnwUXNYa4sakNd0XE9obq7nMCe8eY0cuqFn2awKj8skJtPYnkWcgK3xt8yyOdM0bSYkM29qS/iwvOSUkHlcXGGEw3ajyZAM6CfeW8jjt/+m9oWE1EOl3F7FeZ1dRl5UB1B+WEHcKldk17eQaJLWID/0g785T/VGOh7Ry3o8Wfp3bAOHRecU42Qnp1sRRObieqXW6SGMKttfSx7TOOepp8Td/E8wdFPXxpNjbu6nNoffon1xLU80Mjgk4MeGDRqzNSjSkOazrWthwkvrMYLbjDc/Dt6rbmmPtbzg/RybskS/8I7FS/YO7Mlf/mgJqMPaLoaUYdxqVOH3mtviO88wt1QdLwXa27lpfjTtp4od3WasUclCunsHtIMm9H7yE99yqXLJwksquOvibbWgJ6rRYw92YZzPSMmnynM3zkcHmVNIyH/URFXGC6EeOB61as/VB27mydviSOXJZsrqwZhptOGgxHqlMsJO8dQva/4P50xqoE74q4xpMlfqdpmAY807XnBw6O4NK7HWGUgNno9xiL/z79emPJ5nJ5oi2EnT9FtyePQOCfqOs0iRKnvnl3BXfjHZzpDuaTpydzb0I1vtFuzI0yJ/HQOj2lGA7eZqs6/wguRPqafvIOuEPNyn2opuM4geztm+xdWwEms62lO465reVpC7o+NcqZ287kquQ/eM5aP//AJ3dap6/Kkq2swF77zmckYzqrClc+JGTbUNR/AeVXxTxHhMqda20mcKXwsNOECvZs1wNB9m6rTlHBoIDVqVqPX7OI6923g9eX+6w7sDc7g2lQzPqluzHqlfN/1xLT6Z/TeF0rkVS/qaX1aJPfX5hqg9WEDhm8rHBLPxH9iA/5S24rlmrb3zKhGvFOlFhMuFraiomB8+xnfNO7E+SK5v0Dnz76isfV0VQWjtDhZyWGc3r2JRVPH0dNOhw//okWnbWFkPwtlZMPy5txPUX03/dxIvv7sM+ynqx9KixSNaa1PqzLi2Etqrx657/whWh+b4zF/M76+W9nkvYvTVyNUjZ4oUazvpk+V2ia0aW1C9catOPhUNBjZUSzvIES7ujO+JUYK1eSwSzPnXiX3kXtw0fkTf7JcUCz3wT60bPAnanr4k/78MbNM/8Lfqluz8IjqiooI3z4S7Y+16LxZ6TzlcWPjQKpqfSAqXmWMJZ/T85rxx48d2HYjjQfezvz73Xdp0moAw4e54z5sBG0a/Ys/fF6LcWfKzkeqXFRM7h8yyU7I/bTTL8v9VUXu27BP2MBDz/ZquS87ras8sh7hu2o6Ttrf8WXjluy5V/l6Xb+W3Efum4PR51UxbdWdHm4utHZ2poXbcoKiy6aemsgDc7Gs3oCxfoWNUQY3dq1h7owZzFk8i4mThuCx/Rqp5YhybnwI3sO708WtG25du9J3kCe300q0YIW8uMWsNtWo2siWbj264dKhPc6WLVhxLlhdvwjpLC33dxjdTJsa+mZY1DRjyanS9YGKvGiObF7JDBHORXNmMmXIYNb63xMb8rm1vB11hNzfKGtOZUi4tQ5HI0eWBGiMqyAen956mPffUOqB21+KX03ubwq519bI/fUNODQwxuviC/JSTuH69Zd0WXRE86xCMfGHp2Pq2INTYYXtUQyeffUxHrRJJfexF2Zh3LAduwrHqwQhfmNpqNORvaI+Tz05gkYNWnBQ2bksTw/Q09GJOQdfca1p4SzsaiKE8ppmhYanQtK0mzB2z2Oyc/3p2NiEySeLy0hGxFashKBPU7JJlDe2dZsw42LZlMrj3DIXmrmuLj1SWRDD0g6NsRuzj5SMO/QzbYT7wdK91tPjzNCznSy6OTkcGWmHXY+1peap7x9iQ81Wy0Xrns2xuZ3Q7zSPx0Wd4mR8x5qj7bZI9dxH4Exb9Ownq9riuAPD0W4o4uon9BljLy7A0KA1vkWdLoV4lrdtgM3gnao7UwqZj48xUpSlbr26YlLzKyynnFDL8tO9dHd0ZuHRQutLZtu4lhj3XCGuq5DnrB9iiP6Adap8cXaSI0adVqhGq5/vGY5ttyG4ORkzar/SqwphhK342/de0V2G7Ju+TOzfGVe3jhjVrUVbDz9RjnPY3K0pTd02qke90wMYYNGMQbsekZtyl3HNP6PRkK08/qEmOPU6Y9vb4b7+tmaFmhteffleZyDXlMDGB9Cn4ff0X6F5HkeQ9/AYXXUaMlblX0msdjXAaoivugxnBzHMyoxxRxUVL2D/+BY0bDlHNWjI03P0Mm7IqB2PlT1V5IX40b6hDpOUTJ4m8mBTXSaeK1l35rO3vy6G7RaUiM8SZAXS39aG6UcL79kksb63Jbrd15eS++NjWlHfeb4qjLe3DELXyJ2LRf2x20ww/YLWM/2K2tzHJ2fQpF5bVAoUfwQXY1tW3StdKccc96Cx6JjsFkHPODKEpvVs2Z9QlEHfCl5f7qu2Y88dEXGPPUUv+lu6LT7O0QVt+KJqJy6k5vHsxhJql5D7q3OaovVRQ0YUTeHJ5syUhiq591LmlQiOuDfgna9E7/lEYZVzlV5C7qtpd+ZiYYbPC6DL51WE3M8QGaeAqEPzadP0O76pbUz7Xn3p5mzKJ//3JzptEZXfD8i96rZiwQPGGlShlt0kcawU1rrp8XGNftwsnjhYjGrO/X/QqtmP86+ogLIeemPxnjKi/yEuyzVvsXh+i5H1tPii0xxCXmr8ix+oLRy579zkj/zJWlR+he1TyCZaN/wT343wIysvh5hTnjSv8SnvffYtjY0cmLDpiqrxj9oxSi33m9QFJv/RXjrV+xNVB+wlMSGcyXr/pa7bMtVtrzMjGvPxRx9h12s60yZPVI3sTZk+i4VrtnKpaLijclIxuQ9jkq0u1kLuy7pS9NVltBAN0V7RRr44JCqohu05+jMqk6z4UOa11aex5TiCEn/ExN4yfi25j9gznaY1jBjrtZdDB/ax/3gAkT94mjSWtKqPzZBDRY13MencXNOeWvVb4vvgZd3Nz0gg6ORB9h84yIEDBzh87CrPc14+Ci9uMNWpJsZdp7Hv0EH27TtMYMlpWen3y8j9LYZZGNLV+yLHZrryzcfObLz0qlFgQUESewfZUsdsEDefFxB9eAT19dvj94N9xmwCvNrxzr+rYGjXEicnJ5ycHTCr8zH/qC2k9u7L44qvy68l98nHx2BkOZDANFHrXlunkvtlpxUtzSJsvxddjb/GwFy0IfMOEpWhTp84P7Xc+xdNxygt91HnZtLCwo0jJXoFD49NUZVx30ghJHPt0bWZTtHzuCWJUsv97AOlDLWIvKeX6GGkw6CtZb6dfJ5RZnXpuTqQtNzT9DZqhmeQZpsg/elunOsaM+GSaLIODUe/USeOR5apz/JfsLabLnaDD4oWtCSx+A4zQW/AKqLubcBM1xCvoJJzs/O4OK85es1nESf2nediwNe1DWneQuQLJW+I6zGqW42aLutEy5aO3+zutO6/XOxZSCq7JtvRuMMcHooTX56lyP0U1WtbAye3ob7tFMLLf4a9FE8vLKa5ZY+iqboq8p+yvoceVgO3kpYXy+q+LjhYt2L65gMcOLiN/hb10R+6WzViS5Ra7hccKRxXTmLz2I50HOlNcVcmiU2jLNAVnX4lfAkX52Fr1I3T6en49u/EzC3+7J/jJuJwL3FPfGhh1ZWd9zMpyHqAz1gbmtr0Zqm3qFsObmKAeR3shmxWdTri9wyhsW47TokkSfefhomNyF8qJcrh2a0NuLZsSmMTC5x7rCEs5eVBgNzQvUKmRedtX+kx8eCVg2lkMkB9RyfmPD3tjZm4tzjmC+V+9Gb1hKrIg8Np2KQVfiJCnu9xR1+/F+dilXyeU1run5ymZwsLppXI5PniWG66DfEQvau8oNk01rFiS3EPTpCKn0czIfcLy5f7zAC13B8pfCF5Mt59rWjac0Mpuff3aEMDjdwrg5VOrcZzvTArp91kmqM2nWadKJL7UL+JNGnckR1KfAZOQ7dpCw4UR4GK2JtemNSyYfFdUfKPD8XYegzXK/5GlDeSX0TudwYpshHPPKfvqKeth5G2qCBFAVLKXMzlBaXk/uY8I7TercfIHYXnzMK3+9f8uWax3PsNqss/q9Rm4oXCyL5J3+ofU0Uk2MXCRE/ej81HH9PQYREpBfcY51gVrfda4xehrhVurx3Gd3/Sov2PyH1hn/GuV2ver+PM8p3b6Nn0Q5pNP1vU8y+FIvcdFLnvy7ly6+Nszi0Rjeynn1L1s0+o02YK95XBruQQJuj/kX+ZDOSlARSRLUuN3D/ZS2edP/MH0/mI9ldFVqAXFl9pUWPUAXUvWyHnBcHnNtKr6Uf8sYo+swJzeLHfo0ju1V99xur+pnz+TXu2H5hB/U/q4e6tfg3WmTFN+MfH1RjjV2rcRpTanHLkpXJRMblPY5tIxyaua1/KOw/2edDMxh1VUUk4SWe9GvTZXFip/UQersO0lh6LrlWuV4f9anKvTMtp4sLREiOuP0wcc53r0XzU8fLLx/NdONWtzQT/wruSFUAzLcd1ceGrLstQjtwPNdGh7ar74u9YVgxsxn+rdGDbrVfbUfalJTT93oKtd3MoeHYKlyYN6OVTWBOWQ0YYU+wbiuvey+OHoYSGKssDHlz0pV3NKrh5XixqWH8pfh25T2JDFxOcphxQtU3ZV9ZgL+R+ycnino1yVzT0lCfOVg3QG7hT1OaQ6Cfky7k3Z4sGLUvL/VMh946mrhwq0UF6cGQSOo06sF0IxrNtXdBuPqN8uX+yTwhmC+a/4nWcBYn3GNO8Id3Xlbkjk3CaPnr1GLj5Lpm5/vQwsGDxtWKxSnuyE8d6Qu5FNsq/PhNjY1cOvxSATA6Oa4ZJb1/NXedC4ljXQwdj9608D/HBvJExy2+Xfhbg1Dgr9Gyni9YlHZ8eZjTrtYq7j8M0eSOU8NjnJKh+SSmFfTO64txnqUqO1aSwY6It2p3modwMUcv9ZNVrRR+tcqWRkwdhPyFDxVxYRDOzLqU6VRREs8TNjM7z7xGxfyRN67dnz41Cs0vFq6shTQftVMv9k910c2zJkuOFCVf8tpzipEzAZ4Q5et01rz2NOkwXYxsmL17MoJ6jOPQohdiAVfR2GYHnzAG06bdUNW3v3s6BNDJugU9wYduayvr2jbEevEX9sO2LICY4mzP2+G0OTWxDK/dNRJeoVPKSo3kQcoB++oZYOE/lfpnxnIJnJ+lnZ8qoncUj6Qo3vPrwvf5ArhXKvbMZUw4Vd/aL5V5d3vOenqKboRnjDlxgSz9LOkw7rr6bIPLGvlJyf0Z0Qk2ZfLA4ZvIeHMFVpxHjhcvl3p1Hk0Y2bClV9WWyZ4DRq+U+4yJ9bWyZfULd0RA5lWNjWmLWbwPPS8TFodEtqO04X3V36eamgdg7jeVKYXOQekPUTQ3oMPOYqqwqqOS+UUdV2SN8PZbaDhRNFNEQd2kWOnXs2SCiL+PYUEycJnMnubj8vA38InK//YY6WkN3DeRDZQ76P/RZekadnJEX52vk/pzqc+yBwfxT618YuC0k8Pp1LmydhcWnf+VPtWxZobnD5D+6IX/+z6d0nneIC3ciSE6NxbtlFf7yQTXcN1zk5rULrJ1ox7t//DuNWywnPe8GA0w+RetDZzYF3ico8BBDbevz5z/9iS7bfprcp4XtwrlmNWo2qEe16nZsuf3yqI+KwgdqP7Nl1trDnDhxghNHj+B37jrRov5Lv7IY3ffex37iIS6LRqHWP/6B81ylIc7h9Pzm/F3rHzgMXYZ/4C1u3wjk4tWbPM/NY38ftdxvUToM6TcZYfMVWv8yZv6BQG4EnGGumyXv/uUvaE85TPSzcE7uOMClOw+JDL/P/nEWaP3zc/ofeEHqoXFl5F6kwa5RaH/+Ljo63/O1cS9Oauq65+dmUOudP1LFoA/7Ll7n/oM7nNy9mcXL/V66NV3ZqJjci4b89Hi0vzLD82qJHlzmNUa31ab1zMAiKbyyvCf6X5vgeUEzt1JDbuITbt6OI1t0Bm9Flb6P/2inOw2N+nE89pcfKX2T+fXk/uUHaovJIy0lhqclovrpkSnoVRVlUnlNVt4zroU+LzHiWcCNNR1pZOjGochX1B0/hfIeqC1JeXKvvApzyXX1x5RAPFp+zd+Nh6ofrBX1dGhUyR+0S+OAux1Nmo/jpqqdziBwZUdq6psy45xKX4ooiLrPw0dRRF5biGl9MxareqYlyWb/eHsatBYCUNr9XpvXkvvyXoWZfJ+1fZ0xN+6E32O1cKUHrFbJ/bJTz8jKTSK8hIHcW+hEDRtlZFrsd3omJiZtOFw0mBPDsp8k9+3VUhGyFccmdRi9s0T+SxZ1t/LGmOdH6Wljisf+V1xrfiKHp7SkqUF/LsQWx/+VhV3R1u/GsbA8Cl744fYKufc4LRLmxUWGWNeh7ZRtqvCqyHpKVFIiDw9Ow0jbAK9rxRefcmkZ9o11mX1UCVMksx3rYDB0U/G0m7jDdPr6I+o3U4+2h6zuzfd6nThYMvs8jyYxTdHEdPb+RLlXNDXn7kba1W3CCG/l4XENT8OJSU58qUMdf20R333yLV1WafK+IO7kLMxq6jHvcgZJ27tTp26roqm8yZe9MPz679QY66cW7OeH6CbiftJhZURNIVn1nvtXyb1Ko3OF94wTcf+dNl3mLydcBKrg8QmGuzaiVpNOLPNR36m/takHX9buxBlNtZV2VXjBX9+j+fBtGnnO4oxnb4ybOmDdoQOep9Utbk5yCvFPi2U87uhIGjXsXPSsYRF5Uazra4xO84mEFkZM6m3GWH6NlvZoVD+boMi9UxkhL5L7woGlVI7O74dVUyP0W/bGR10pCH663I/dpvQaQxhrXgPzSQfVHSeFcF+af/gB+m0Xlz/nPucaAyxMGLan2LyDFnfmO912HC/MjtFH6NjgE/5t76V6JuSny30HddnLv8MUR230R+8s0cGIYlkPQ3T7qDts8QeHYCLiMUjKvQblR6za/xWtd+3ZdFmd8zKf+OP2gRZ/txrLdY3bhJ2dzhdaf6fTopOqwpmTfItZTg34o+gE/Pm9KujbdKGbpZDlqkYsuq7OpfFXl2D99V9UD6v+yWggpx7miIK5HKuqf1Ot+6RqfZwGudDwj/+hlskUkXEyubrWnZrviI7F3z+lgUUb2hg15l2xr/OGR2THBDOwmhYftJqu/qGMpAC6/0eL75zG8EB1RkFuInvH66iO/3VPUZBf5RIpd5jb5j+q/Uotn9qzeMsuxhj/m79UceKgUl+IimBu62/R+mMt5lx6Ru7zIDYMs+Xzv4n9//YeH733DvVauHNNtOIH3bR5/x812BCmxEEWt7ZPw0DEpZbWX/m8rjluHR2p+4UW34w6TFzkdYbp/ou/vfcp33wtMv6/PsWq/wJVnEdvHcR3f9WixboHxZVjwjm6139HHOuPmA0/Io5eyAsuLOlPk/+K8/zpHb74+lPe/U91us8+X1RQKisVlXul4d8xcTCW9WwYPGIkI0cMZ2i7lrhMXUhAqdkSqZxYMJiOzpZ0cB/O6NGjGTW8P86tWjFgXSSZl8djZG2Cy8BRqm3D3Tth1aoTkw/d/8VHSd90Xlvun1yge4OquC4olgCFx1tH8X11B3wLH6QvRS4Pzi3A2qEPI0aOZMSIAVgbtWXG4sPqjm9uGDP696Wn6wBGjBrJ0L7tcGzdggVnwl+akvWzSL7MSMOvcZpcPIe0FGl3cdepifWUEj9i1bgGNnOvaD4L2Qg/Qg+9v/Ge/SQO+m1h9tjOtO0zlFGjhjHItQtOlj05cLPEfWrRUTmxth8mNu3p2c+dkSK/jR45lBb6LVmw5ShremhTw2wkD8u5sGQhU02q1WHW8agSHYjX53XkPv7sSoze/xCjDu6qsjPC3Z1evdvTtvt0ToQV36VMPb8Mk28asfhMPGkvjuCi35HhosyOGDEIe1tXZvveVF9T4gWGGjdA18mVqYv8hCDHsrhrXRr2UM/DfnJqIuaNW6vm1xcScmAUNb51YL2mgbm7zYN2zerTasgIcfzh9Os6nCNPRb7Lj2PzQCvqNbFjyMQlXI17OS/mJdxnZTsbLG0dGTJ8BO59++Bo3A7vk+rR/KyYXbStq8Psy8UpkBqxBfOqDRl6RK3kzy9sYohdDax7DhXnd6dvh774BDwmJy+bs/M7YG1phJv7CFHPDKaThRmjNh0rukOccHUFnS2rou8ynBHDhzFh+kjam9RE22aSenBMSOWqqa2pae7KcBG+EUPd6dN/BmcilAjJZOeENjTrMk898q3iBZtHGvKd8zTVtJyLkwxFOz5aPfAmuLt9Ke3r16W9iKeRw93p1G40J+9Hv1Sunl8VnbhadWnVeyAjRRq7DxuKY92GDFm1RyXnBZGn8GheA7OOfXB3n8KUSUMwr/kxdQfvQvXW7vwYvPtZUE/XgWFTVhCc8pyNw52x7etV4kUa8azp34Ra7RfyUKUnedzdMV44zaeM3KE8ZCvIFccZVQ+td5zZfUWt7i/Cj9Pd0hxDp74MGzuBiVN6Y/jNx1j08yl6vuFFyGFafvoHqruM55ZG3jOCLzO7rR5dhot8KOLSzdqO0WtPlJgmVIzyULZ7/XpYtHIT1zeC6VMm0M+0Lu80Gsh15QtPT9PRojGj1U/7qsgLPUSbGtUYvL74TlDClXXoKt7Tbx3PCjsKQqV3DrekmtUUgpW4ijhJR/Myxwo5QOsa3zJ4gzqTR5+ZhbPpN5h1U/L4SCZOG4qzzncYtV9U/si9iAm/cTZUa2LPgKlLORmeS37UWTzsP6KGtXJNI5k5eQwdG1XjQ5sFqk7RtXXdMbFw51JhZyflKmNMvqH5xENFzhK8byTff9scTbBElbmVjm2bYdR6iAjXCAZ3t8Ks11yOhatzVNTOXjQS9duNkq9yfwuouNznpRF2eS/bDlwgsvCloXnpokHcw8mbj4sEMi3uPn7b9nLlQfHPmGc/D+b4zs34bN7FxbBEEh74s+PwaR4URW4uEZePsHXTRjYfCaDw9xairvqzbbMPW3afISo1nut+fhw7fUfdCxfZ/8bpvWzy3szhq2FCgO9zcvtWLoSnkZ+Zws0j2zgYcF/dq8xJ5Nr+HRy9VPwaJ6XQXvfpzB/+9B3jdmseXiuP3BeEBu5n27bt7Nixne3bxbJ1M1sOXSL4ViCH925j/9niaizl/mX2b93AkTuFY+FJ3Dy9T1ybDz6btuJ/Tf2LltHi2g7sO0ZEWmEsZRJ68TDbNnqz/fgNniVFc+2kL4duxZKbn82Tm8fYIeLC23sju49fIkoTR2kRNzkqwnCp1KTFXMLOHWXb9n0ERJQdAsjh8aXD+G7dhI/PZvafukZ8RZz2LaPicq+QQ9D+DXguX87y5Z6s9jlTPJpRhri7R1i+xJMVK1bg5bmMVb6H1L9EmhzC8V1rxTG8VNs8lyzH73YJe6hEvLbcZySIsnOYqw9K3wlJf3KHY0cvEvWKuZbpz+6yc91Klnt54enpxdZLpevJ+OvH2bhiKZ5i+9JlqznzS/zSoqibbp85wqXg2JdGKlXkpXDr1HHOBxc290nc8D/G+dDS99pe3D7MBu+tXBT17uMrR1m5bCleXstYumI7V5Tf0iiHGFHnrl26hOUiv61YLvbffJqIxBTunzqKf0D5c8LJjCLgyHYuPIx7Y+Q+OyGSC7t8WL16pbrsiGvyPni+SKoKyY1/xJkjJ3kYL7pRudGc2rxOXWY9PfE5U3q6Q9TNM3iv8GTD9kuizcji0dUTnLwWruqAZTy/x1n/ANWd20JSY9R5q2Q1/OzWXryWeYq85Mn6vUGkaWw1U+TDg2tF+V+3k/uv+q3/nBjO+Ip8Jr67ZLk3J5Q3J2nIzXxK4IlThJTIArnpTzh7+CRBscV1WO6Ts3iv8hTXt5TlG0/zJKlQl3MJPrNJxJMI29IVbPe791JapoUcZa24fk9RR+24/pSLSzpg3tFLdWdDTSL+vqLO8xTxJ+J704VQ0lQHySXqXiDnroQWvY1HWRd5+4xof++r2u6Ee2c4fqZkWyzqxet7WC3qzuWeS1jld4MXJeK2kKfnl9DCqTf77tzCd8kSlixbztb9t0p1ijMenGXrmmUsWbJBlJEIwoMDOH01skgEMyJus3+NyO8b9hKRnsmTOwFcuBFWYgAsm8c3/Tl++YHmekTo4x9yep8/IZpXKSp37Z6HBrD1wEWeat5lr5AcEYi3KHPLVq7laHA8MbdOc+Z6eLFbJAYz2q463TyvFoc5S7jJIZEPRX2jxKXPzisl4u1lMsKusGOlyBOiDdl5+gax0Q845X+VBOUCM+O4fM6fOyVer1qQGkPgsSPcKpkx059zxW8bAaEl65w8ooLOceR8sLrtEvtcPvvysQKOHS11rMTbB1gl0k1pt/bdjuTodGesem3WOFo5JNxi/6YVLN2wi6sx6vyY+egCO9Yr1+SF3/UHxDwKwl+EQ7mkpPBrnDl3i4SirJvEHVFfXrwXUxT2lOjbqrKnmaGtIvfZLTZ5KeESbe36rdwrsS3j6XVOnr2tfm36W0TF5f5toSCXrMwMUh5fZHTTv/OOQX9OF/50o6TS8npyL/kleW25l/zueB25l/ySFJCdVnZA6BFTbHVxnnH2F+3Q/VyiLyzGxqxr0dSX3xsRfh7oGLdjd5n54L9LCvLJSi+TEJk3GGqmi8uy4rf1SH47pNynBzDezYnq//ob//rMhGm+t/+nFZbkzUDK/ZuDlPvKh5T7N4SCPM7OcmHiel+OHj0mlsMs6uVEc8eRBKQWDp/+b4g6MxsD7dalH6j9HZAedYczftsZbG9Kz1kn34opsAVZaRyd2oHJm/ap88mRI8xysaFFh6kElfdWMMmvjpT7nAesmjSYDp2GsOFkue8zkFRCpNy/OUi5r3xIuX9ziPRfQO9unXDp0pUuLh3pNnwjYa+cZ/HbkfTgGPNnreZe2RsLbzgxZ9YwpGt73OedKTH95/dOHqGHpuPm2pkurl1x6dyZ3h47S/3SrOS3Rcq9RFIOUu7fHKTcVz6k3EskEknFkXIvkZSDlPs3Byn3lQ8p9xKJRFJxpNxLJOUg5f7NQcp95UPKvUQikVQcKfcSSTlIuX9zkHJf+ZByL5FIJBVHyr1EUg5S7t8cpNxXPqTcSyQSScWRci+RlIOU+zcHKfeVDyn3EolEUnGk3Esk5SDl/s1Byn3lQ8q9RCKRVBwp9xJJOUi5f3OQcl/5kHIvkUgkFUfKvURSDlLu3xyk3Fc+pNxLJBJJxXm75T4jU/OHRPLzkHL/5iDlvvIh5V4ikUgqTsXlPieOU2uH0K5dOzoPXMXd5zmaDcXkpt5hed8uYp9+rDseTJ5m/W9CzHkmuFlhP8CHp2/PbzxLfiOk3L85SLmvfEi5L5/89CAWDR/FigtxmjUSiUTyMhWX+4wwvFw/REtLSyxfMOJImGZDMVF73flItf0/dFvkT65m/Y8RfXEj7kMG4HXphWbNj1AQz1nvybj2Xs79ZM1Znh6iq9FnVHVaRqx0NMnPRMr9m4OU+8qHlPvyyXtxEhdtPfruiNSskUgkkpepuNxnhrO2dzX+9tEnvP/f96nTdRMJBZptKlJY7daY/773X977w9f08zr7k+X+kkcT/v5ZdTwualb8GAXXGGT9CVpfj+axZpVE8jpIuX9zkHJf+ZByL5FIJBXnteR+Xfcv0KptSUuDRtT90owtEcUTb/IercNatyraHdqgrVWF3ivOqqblJNw9jM/2A1x9nKbeUayNuXmATQdO8TgxgRv+exhi/gX/+OhLmg9fzMqdZ4lKVvZL5qb/fjauXcPadd7sPX0PZbZNXtwjjnm5o1/rPf7yhR0TF63nwKkQcgviCDi5l53nHpFTYj5QxA1/tq1fy5q169lyIJDYomn5WUTfEmHbc4nYFy+4f24Pa9esY8eJaySU+H52zE0Obvdmzeo1bNwlwpz08nQkye8fKfdvDlLuKx+vI/dJEVc5fSGU5OfB7N2wkPnzF+K16zTRhaNLOWkEXTrN3YeR3PbfILZv576mHs95cpWNi+azcNFCFq/15WaSanUxBdH4rVjKwsULWbbiECGhARw+dYFoparIj+Py6dPcj47h0sYlLNpymFDNzeeMR0dYsWQRi+YvYvOFMIrHwXIJOefLwvkLWLhgGVsPXKfwfnXitcOsWSzCIsK/cvdpIpUiUPCMgGPHuRqZrt5JRToXN61m0aLFLFqwGN/LTzTrBSmPOX86kKi0BAK3b2CxOM+yrSIuCptfiUTyVvKacv8xWjV74714BIZ13sdm/g3NRjg3vRX1ta1ZvGMuDbW+oNfK86r1gVProvXnr+nnUzjGnsHRkV+j9ZUZq6/cZcNAWz76+1/5+7//w/sffMDntiM4F57DvXU9qPv5F3xTsxZV3vs//vZJfQZtus2ze4fo0+B9/vmvf/HOv/4rvvMdLYfuIzf9GM71/g8tiyUkqeQ8jlObRtD487/z539/yGcf/hMtrQ8w6rSEm7FKN+EFfh6N0fpnbdq2daOVQU3e/YsWWn+rSt+1Z1Dq+JQ7W3GzFOv/+S5fVf9U/Fuf+Wfk6NLbiJT7Nwcp95WP15H7oN2jMPyiPp2nzmfy9LGMHj0Ae9Na6I3fR4RS1WfGMKtNVWo4DmLO5Ili+ypuJaXz5KwXTq1a0L77aMZ6jKV/12bUbDmNI3fVJlyQdJ3pwzpg6TyYsePHMqmXC1b6n/N+XSeOKUaeF4CbgT5W7bszbeIYPDx9uS0ajsjjKxlgb0SXcR54jHajqZUTo/aEii9kibBOoGW71gwYPYaxA9zp1WYkd8WWmLO+dLdrxSB3EZbRvXAaOA7fu6JLkHOMFtVr0mVzuBIk0QO4wsIpHTGy7YOHxzhx/M5oN2vBoLXX1B2Ix7500K+Cju1Apk2byfjRQ7E0bor9hIPEyOpNInlreX25r+bCgSs3mGxdm2pGw1GqLDKu0MuiOo16+3InYBn1tT6j1wq13F+ba4DWhw0Yvi1C9VkcCP+JDfhLbWtW3MwkLSaCta41+efn1em17jKhT2LJyM7j3uHNHPC/xN0HDwgK2IJL3Y95r5obZ5PSiL29kbZNP+bPX3dnX2AIkbHp8Pww7Q0/5t8t1pIjqrmHJ2ZQ7x0tqrX34NCNOwTfucaOSW35TOsvNJt/gfyCbE7PtUHrL3/D1GUKJy7fJOjMVlzraPFn7b6cjoYr4+vxp/98xbCNt3j8NJw7589xLzq1xCiM5G1Byv2bg5T7ysfryH3I4cnU/E9dBvk+IF+zLv3aQkzrN2HyUUWKU1nq8BnVbScQXDhMnnSLqS0a47DoPCmaVeTexcO5EYaDvEkUH68tbUc9pwncK7rbG8PK3g2ppt2Kk8qX8q/R26I+dbssEls05NxhlG1NWkw5q1kBjza6Ud9oIFeeBLGgcxMcpxbPP82Keky6aBN3DjBBt8ta8beanIxEniWLU6T5a+bcR6nWX1/UBZ2W7hwpOqG4/k19+aZBCw6KNosYP7rrvoOuqxfKR4XYA6OpW9cB3zty+F4ieVt5fbn/uj17g3N54t2SD79syJwbuaSdnYL2F98y/UosT68vp67Wpz8o96cmNRRyb4XXLfWaUyMb8U6VWow/XzzlJTvhESe3L6S/a2da2ZpR48P/8EnVZuxJEBtzAuhr9Rl/+n4sDwp9LOYQ7RS5b+0ttiewe7QeWv+xZMP1EhVaaiCDzD/mD9qTiExO5OxcM7TeNcbrrFKVq3Zg/7B6aFVpz767uYSt7shn//4bdVqOZd/lSNIKWw7JW4eU+zcHKfeVj9eR+zt7RtHMYjDniyxdkHePqU61aTH/BNmksdC5Aa09Tmg2ijx2ei7NTLpwuozvhu4eSgPdnhyLechMB21aLrmp2aImbt8gGhi145gydTTvCn2s6tNlfYh6oyD53DRM9J3xPHab+3fucOfOPUL2jqbBt41YGXiXw3Nb8JV2V1bsvcbDqMKeRj6By4diVq0OHltPcffxc816cYpkzQO1u+PEbiGMbm7KkM2ahrOIy/Rp2gjXbbHiwvbgauPAkrPxmm2Ch1vp0ECbqcdefgmGRCJ5O3h9ua/ajt13hOUmHcD8869pN3IZy0eZ82mDkQQLN3p2fRG1S8j9ldlCsj9qxEjNyIMy5/Ds5PoauVePgR9xb8A7X9Vk9AlNZffiGuPtavDxtzq49JnMht3L6Kr3LZ9+YcZupc5KOU1Pi0/503cjCUrSGHdsodz7QFYM29xro/VND049LDnOHs4M14b84avBPIx7zpk5Jmh92YLNVwrHS+LYN04Xra/asveOMrcnjt1T+9LMsBFVPvgP1S364fdQjty/jUi5f3OQcl/5eB25D9o1khZOw7hU8mdOcm8zpU1T2i05RU5BCvNdDXBdfluzER5tH0hjix5cLvPa5FC/CTTR7s7ua8fobt6AIfuFMJfg2cHhNDDuoJb73Mv0t7Fi+uEH6o2CJ9vd0an+HaZ2LWnRooVqcWpuj1PrPhwKF/VLfjy7Fg/D0tKMxtXs8Dx9kxdKg5Kfx22fUbSzMaexgT6uXld4llZQPHK/L1FE0lm6mesycs8d9cmKuMNQoya0Xh0hCs9uXJu3wdO/uIPAoy10bKTcxSgOp0Qiebv4ReR+xy3lSaVMtg9szBdffUHVz6vQZuFp1dtxogPml5L7e0us0HqnJu6bHqk+w3MWO3zCn2oIuQ9Srzk0sA7//Ko2Ey+qtTn9yCA+FDJtPCVA9RnuM9T4G9771JQ9ity/8Keb2Uf8saYHjwpNO+agWu5beUNeCodnWPGXv9Rm0rESrxCL2E/HGv/HOy08SctM5ewsY7S+cMInMFWzw3P2jG2CVpV27Cr1ZFUaV7wH8e17f6Rq/z1kSbt/65By/+Yg5b7y8Tpyf2/fGPR0enK0xFQVki8x0NSYkdsfig+JzOki5L6wwRHEXl2KaaPW7Cnt7txY60Y9s8EERIXiYdOQjsvvabaoub+8LXWbtua4Mg6lkntrZhxRTU5VkXVlFiYmHThQMizlkseZ+V3RrWXBFs10+kKijo6lbl0zZh1S3m1/ni6K3O9SZD2SCY7GuCwubBc1pByhnXZDhhwRPQ5F7h1asfTkM81GwcPNdGikw5RjSlxIJJK3kdeQ+8es6fqekOHWbLuuHiJ5enYm1ZX32n/YnG031fdEwy/M5XutD+jueUb1OfHCTL7949/4Uq8Tc5d5sWiYK9of/gWtmtYs19S1AbNN+cc//oVh5zHM2nqGoD0e1P/yn3xm2IVl69cyb0wLqvz7j/ynigV7lDou5ybu9t+i9fdadB/jya6DN8lMPko7vff4e/OVotshzhvkg+03WvyzljnDFq5g7Yr59LOoyd//UZvRfkptmsmJyXpofWzPhoBiud81qqG4xnbsuRXJhWUTGT1tEVt3bGPNpK5C7v9C47FHyZFy/9Yh5f7NQcp95eN15P7BsZl886ePabv4tGb+fBInplrwvWFnDkfmCAmPZkYnXTovK57Okpt2l4UuOtTosYzrmlmZL0K209KkKT023ESZIHp3aUc+12vHljuavBjjT8cG/+Hz+i3xV5qM3ED6NLNgql/xtBxS7zKuWT0suywVKq4hK5ij156QEhvDg+uneKy52Zx+cwGmTZqLDkYKlwNu8VgZ2VeIPEJnI1MmH1Tk/qw4pza9fJU73znc3zyYugb2TD9VOKM+hi0jbanTfhrBSjAjfelo7cziEyXk/sFG2tZrxEQ5ci+RvLW8htxH4NO3Kv+o4cKum+rKLi/+FpP1P6Jer6U80kyXjwhYTON/fMOA1edUr8LMz3nOwcmd+fZff+WfH1XHof8sFgzS5n0dJ1YFqWu5rOjjDLeuzjt//T/+ZTmMcyGxnFraherv/R///qoRXWdPoLtJY777zpb9MYpZZxN8aDbG1f7Jn//yBfYDd5GddZYeFlX5uN1a1L9rlcmTK770sazJf99/nw8/+IAvG7dknt89UlVv00nmxEwL/lG9LZuvFMp9HPsnGvGPml3xu/eCK/PbUP3z9/jiy8/45PNqNB/iSVBcyXu/krcFKfdvDlLuKx+vI/d390/E3syZAUPH4OpohVUzE2wcRb1+P1ol6aRFMa+HOT1XlZ7OkvP8EhMGtkbbwBp7Oxusbc0Z6BPE88JXaGaEs22qE1WbNMPe1oqWA6aydFQbGph04rjSi8i9iruTI3OOlZbmF6FXmdmiMUZ2tjg0t8POohNLzj0hKzWCTaOMaNzMHgd7e+zN7Zh95D4ZpOI7dSDNGptib2+DmWUL+s45QWyaaD/TT9Pd0ITBuzWvuyxIIHDPeJrqNcPO3gFbK11sB8/ndJSmXQrfSfeWHfA6VXJazjZc9Y2ZebLw7rlEInnbqLjcF+SRnhTL09hEMoqGrgvIEOsSUjOL5qHnZafy/GksyWnZxXPT8zNJiHlCZORTkrIKKMhMIPp5PGnFz8+SkxLH0yeRPHmWINRdUJBBXEwUEZHRpOXnkfUikdiYODKL3kGfS3JcjErKniWJiq0gm6S4WGIS0skvMbKem5YojhtBeITYL7mkmOeTpZwzNqHE9eSTqVqXSKao4AtyUoiLjiQ8PJwn0c80nQLJ24iU+zcHKfeVj9eR+9u7RuLkPJIzTxMIvx9McHAIUfEl6nrRfqQmxZFUssEpJCuRRyHB3A8OJjT8qbrtKUUaEQ9DVNsfCOuP3uFOE/ORqMelckhOiCc1q7A3UExBajQPRVjuK+G5H0WGqu3IJzU+ktD798X6+zwIj1UNgClkJj0jLFRZL/Z/FEWqZnSf/CySnseRXNzwCQqIi3gojntfda3PSr4CPzeDpIRE0rIKDyAQ6xLFMVLKCadEInk7qLjcSyRvMVLu3xyk3Fc+Xkvud4/CwWYw53/hLPMi6gZPSvpw3gMmNa9Ni7EHKbzXK5FIJG8CUu4lknKQcv/mIOW+8vE6cn9z2yBMDXviX/hmyV+IyJ1uGHfsw4hRoxkzeiT9m1vSceQsbipvypFIJJI3CCn3Ekk5SLl/c5ByX/l4HblPfnKTs2euF8+V/4XIj7vDDp9VeC73wsvLkxVrjxFbYsqnRCKRvClIuZdIykHK/ZuDlPvKx+vIvUQikVR2pNxLJOUg5f7NQcp95UPKvUQikVQcKfcSSTlIuX9zkHJf+ZByL5FIJBVHyr1EUg5S7t8cpNxXPqTcSyQSScWRci+RlIOU+zcHKfeVDyn3EolEUnFUch8dXfjT1RKJRCEqKorcXPkjL28CSv2UlZWl+SSpDCjpLdsliUQiqRhaSiUaERFBSkqKXOQiF82i/ApxYmJiudvk8tsuSv0UHx9f7ja5vJ2Lkt6yXZKLXOQil4otKrl/9OgRMTExcpGLXDSLUiaUaQHlbZPLb7soaaHcSSlvm1zezkVJb9kuyUUucpFLxRY5LUciKQc5LefNQU7LqXzIaTkSiURSceQDtRJJOcgHat8c5AO1lQ/5QK1EIpFUHCn3Ekk5SLl/c5ByX/mQci+RSCQVR8q9RFIOUu7fHKTcVz6k3EskEknFkXIvkZSDlPs3Byn3lQ8p9xKJRFJxpNxLJOUg5f7NQcp95UPKvUQikVQcKfcSSTlIuX9zkHJf+ZByL5FIJBVHyr1EUg5S7t8cpNxXPqTcSyQSScWRci+RlIOU+zcHKfeVDyn3EolEUnGk3Esk5SDl/s1Byn3lQ8q9RCKRVBwp9xJJOfwScp+XlU56unrJyMwmr0CzoaBA/Ff4oTTK+vK25GYWHyszp5w9fuCYv3deS+5FnORmZ2riLoPyoq6Y/HLjXqGgII/szIyi4/wmv12sSlPN3yoKyM/JIkOTD1R5IU+zqSQ/kBdelb9UvOI7/wteW+7zc8kqSi+xiPL3Mup4KnnV6Xf9mOhqh0PrqVxKUFI5A/+NU2hu78DgTZdJe3Oi6I0hPWgTYyes4k58xUtF1OWNDBk0l3Ox6s+qdPlF4jqTKxvGMHz6TuI0a940Ch4fYnL/EewNjtes+ZVQxanMwJUFKfcSSTm8ltxnxnLt4Br625lhYWuPvZ01hkZ29Jp4SrX53Kw+OA5YT1yW6mMReXHXGNemNeN3hmnWCDKfcWbnLFo3tcDK3h7rZpY4t+6Gz80YMvM1+wgBubamH4795vFQs+ZtouJy/4iFnR3Q1THBTsSdrZUBjTrO5EJYmYhXSHuKZ+tvaOw6kasvNOsKebSHwa0a08TICntxHCtTfZzcZ3PmWWYZUc4h+uZWBg3dRmRGUeJUkEwOjutKq1G7yFCdJIU9k3ui31AXSxEGJRx2VuYYdpjIkcDHpKq+o5DL8Sk9cB66hRdlXCs3OoCRrdowZV+kZo2G/DROLprCcp/DJGpW/a95HblPvrmPvgb10DW3VcWTvW0zTE3b47HAj4ik4khJv7aJTuZOrDmvlqqcR/4MtjKh/+w9BF4JJTE7nQvrB2DUvDfrTwdy+0kS5fWlflVEJyU5/hmJab9Jd1JNXjaJcc9IzvhpV5t8YgR6Rn04FZmjWfPzubdnODWqO7M5XPmUhndfSzqMOShK1OuSyr4hTahnM4UIzZo3jfwbCzGrWp9Z58qUy1+UPAKXdMKm/cy3so2QvIyUe4mkHCos99lP8HFvSoM2A1gfEEtCYiKJifHcuXKEVQsvqmTw4CBrvneYQ0ym+iuF5MWco2uD+rituqdekRnB+iGN+MahH2svao6V8Jxb24dTR9uYHsuvaqQunTMz7Pjebih3VJ/fLiou90EM0a+L9ZQTIg1E3MVfZUInfb5rPo8nmaW1PCl0F22++oZPdayZd/yZZq2GO17Y1ajHuINBquMkxFxmrms9vmw1i/uqjkAucY+vsX9+Z755V4v39eYQ+doulsHGrkbU7bCadFVQE1jpakjd9ksJjlPylJIXEjixcCR29b7EbXWA0H+FHHb2Nqdmq6UkljGjnIjjtKvbgN4bCpv3VEIuHmdmXzO0tP6Iy5LDJToJ/1teR+7jT3vS9DsjZvtFqOMpMYGY60eY1KIO37YbxfFIdcHLuL2XIZ164avpzYUdm0zDOq3ZohJMQU44nu3rYzFo6y8gmRUk8QGTXUwZuPGBZsVvwJMABrexYNJ+zTD6j/Di9ASa2bpzLqrisRRycDxNGndih8rA09k13oXBc/1/gXhPw2+MOQat5vBEs+ZNIz9oOc3rGbLwUpRmza9BPje93XEb5PXGdnIkvyxS7iWScqiY3GcQsKAT9eyGcVVtWuWQz6FhjjRotZDYsnIfe4Feerr0Xheq+hyyshvf6rfhYDkDOmGHxlK/gR0rryeJT7lcmNuCBi1Go+kWvFVUXO5vM8Jch9bLbmo+CxE5Ogy92k7sK3XbJI1j093oMmMLa0a0pu24PRpR1nBvNS0aGLAgIFqzQqR04GKsGjmy8Z7II/khzGhfi88bt6GLozb17eYSXsGbPsVksLWXJU26rtfIfSJre1rQtM9myt68jxbX1KiWCatDlZHWfPYMtKNRRy+Sysp9pD9dmugxcJP6zlBm1HYsP66CdaeOGNepjdsCv7dC7hPOrsC0gT2rA8vkmaxgxthWQ2+UH+UNSj+/OIemTVzZl6BZIWJ6fVddHMcc1Hz+H5AXyzTRIR3oW6bD+Wvy4jZDWhox5XiZCuoVqOTexp0LP60vUC6Fcr/9sWbFL8hxDyH3Ld9cuSd0Fc3rGvzKci+pbEi5l0jKoUJyn3CMTroWeBz9odurGrlvvYT4soIRH0ifpkLuNygtXDijbRviPOeqeltZ8h8yu00D7CYeRNHUwPlS7l/mZbl/tL4rjbV7cDGpeNpMQcIZehibszQ0g+j942hm5MbhiBJpr5J7feaeL5GuCYfoaODI/EAh/PnPuXT0IDdENZp6ajhmLWcgDvWalC/3er18iC2bb7JCGWXeiI7zr6s+7lPkvvOql0U9+ixddRS5f6T6mB13l4P7z4j9Mtk0vB2uU3eX7tT8D3l9ubdjxcWXryZ0TU+09ftyTXhrXuQlls9cxPmHqURfXEKX5tp89mkNLNr1YOymHSwe1h+z7z/hm4ZmuLhNwz8sWXWM+LuHGOfaBddu3Rg8cgOFPpr7+BgrVuzkyvUjjO3Rg8kr9/Ncs+3mprH06u5G1y5dmbXnOumqtVkEHd3Iur3XuH9+Mx79utDFdSCLt15WT/95fJhxAzrQ4NsvqGfRGjfXyRwLKTxiMU8ubGTlllNcPbuR/l1c6da7P1vuppGf9JB1Q0Wn1a0r/SbsJKpUnkzhyKKJ9OqinHMIqw+pa46cezsZ6uZM7Wpf0sS6Az16ziEgPovchHusHdoN1+49cOvWi7GLT2uuQZH7idi2GMXxoIss6t8bt+5d6dFrDpeele4c5ITuYrx7N/F9ESbX4Ww5V2zypUfuszi3fhaevjdKPNuSiN8Md3qIOO/RzZU+8/YT84qeaPT1HQx27Uo3kQZDJm1i5VALTNrNKyH3+QSsGU53cSw3sd/CoyGa86Rzed86vA8FcffkGkb2EXEj4nPMir08LXmjLyeCvUsGiG1uuPVzZ80VZYBFTdjxtXjuOkfYtb0MVY7v5sak3bdUdXQxEayfPgI3Je77zmKz53ha6puz6GKx3N89uJrByvYuvZi0+EhRucx+dpk1npu5EXKPrZO7iu3dGDB0NSGlmqo8AlZOoq9I9x5urnSd6E3wsxyiT69kzrL9lOwm3trsQe+ifHmtKE0hjuMbJuAq1rt16YnH7L3EaLZIfh9IuZdIyqEicv90z0iaNumKf/QP3UzOx0/Iff3m0wh+mkBCQvHyPNiPLk106LtJlMfEXTg0bcSkU8WjxaXJZO/45tRvvYCn4nTXF7WUcv8Stxlp3gTHGSeJF/EbH3qAPo6muG+6Sk6JKfExh0ZgZOfBHaWFjzuGi349Bm65LVJKg0ruDVl8tfiRvJiDHhg1bs2ue6Un6D/y7Y1xi5k8+C3lviCF7QObYtplFWni4yEh9w1az+NRbOn8FXtrL+0a6zFII/fFxLCsnzOu08rcsfgf8mvJfcG1eRg3MmG9ML2cyyswrtqA+cfiSIkMYM2UjtSobsowIXPHb93h0qFN9Df9jibOw9i65zRhSdlEXViOlaUjg+ftZNeePYy11cGp9yIeizTKD5iOrva3WLWbzbadezl15b5IxQwOT+mDlXk31uzZzW7vcdhbatNny10RmlyOLejAv9/9hg6Tvdh7YBe+C4djWs2chX7hylwxTuxYQVvj2tgPWc7u3ad4GK+kcGnurrTjP+/XoNPotRzctYuFbnrUqGtA655dmblmD7t2r6SdjgEOI/eL0ChEs25CO3RajmGT2H/XknE0r9uUuQfvkSs6fIc3zMGuaV3ae6xn795zPEmJ5+axBfSfuZlDR49z9NAibOuZ03+NutOcfn4qxkYNcG7twaYD+9gjrnO8gwlGxgM4l6jW5tBdC+hQ34ChXhvYLeJt07Qh2Daoy7SD91XbH/pp5F7Vf05hkWM19LtuUU/LKXjAoq6tMDboh4/47t49S3EbJoQ17OU7C1GHJ2HW3IFhy3ezZ+9ecZ2dqff5BzRts0hctUIyu0Z2xcamL97iWLtXDcOimT4j9im9inS2eXTgi89q02/xKnbvF3HjM5MOJp9iP/OAuqOW+oClHfVx6j4W31272baoD/XNO7H8krrjd3m6NR++/yWtB3mxTzn+8v401tdj7GGNuL+4yuwBxpj0nS++L46/yZN+Dt/w4X+NWX1TqV8KuOQzHJ1mrszxEdu3r6WbTn16zT2kKtt5YZvR/ei/1G3eHc8du9m1azP9dLVxHLQZ9Q2nBHwn9KBp7Y4s27pbxNUa+o5ZwbnLcVydY873TYdq2ohMjkzpi7VZV1ar8uUEmiv5cmswBQXpnFzUFduu7mxQtq33ZtbASQSpvif5vSDlXiIph4rIfci6vug06ca5qHLu+RdRwLFRLan2aXVMbRxwcChe7IWIfvZlI/Ut+OjN2OrpMuvCq8pmNn6TWqHdaj5PpNy/gmA8zOrz1Xd62In4tTHVpnGbMRwOii1+ELYgEZ++trh4XdGsgH2jHDDosZ5nhXZ/by0tG9ZnwMr9XL4cwKWDK+hj3Yh+XidIKZPUYdv7/Ijc5/Ls0T2uXLpEYOAlLgUGEfGsvJ1/htwLYdk33BjD9ovEXnDc3YGvP/8eC9vS+cvOtDGffKXL8G2Fk8oLicGzksg9t5Zh3ESP5aFC7q9vwKGBMUv91Vr07Pxsmmp3YXfR9JLnrOuqS/NR+9Qf82JZ1lEH5/Gn1Z8V4vfiXEufCedFIby9mGZ1qjB0p3panUJ+sDcOhqYsDigeEw1b24nGxkMJSU/n7HIXPmvSmd1hhWPU0Xh20cZgwFr19KvcaKa5GDHI91WdfCH3q1tTq5E9O8M0GSP+AM2++YyGA7YXjRiHebtSr6Ebl8XfSWcXYafnyKYQ9TaFU5NF/eEwlXvKIdJu497alKnHCjsS+eTmqwtDcuQ97t4LZEE3A5p29laN9GacnYyREPWpB0p0GjMD6afdgHarxEkybjC2hRU9FviXGInP49REZ+pZjuFBdj4RxyeVkPtUVnRqjO2A3eLvAoJW9qCxTi9Ohhd/Ozcrh9ySPXRBQcYD5rQywHXt9eLynRPBbLtvadpyjmrkOef6MpoZWLOhREV5c4Ejja0mE5Wfyv7prfjKuA8nYoqP/ezAWJrWcxAd+STCT01G37gLJ9UuL8hn92ADDNxWqMrezbktqVtD7Pu4sOORiberHo26+ogrLiDYezjWLQdxqsSrex7vHIb2hw3wupMiOleBDDLTwX1b8X2G5ycmo1O/DdsfizBFb8ekTh06r7le9DxCgt8I6jV2xC8V4o7MwKi+A2svFM0toyAvl5ysbC7MdkDXZhxK7swL8aG5kQmLLhV3Fh+v64K22UjuPrnHIpeGWIw4odkiyEr73z13IqkQUu4lknKoiNxHbR9C04YdOf60nLexFKGellPfeQ7hSRkqiSlc0sL96aarS5+NUaIV3YOjfiMmnHxVo57BjtHOtByySTX94spCOS3nZdTTcpznXVDHsajrAlYNxai6HWtEQ62Qd3ct1jU+xnrYfHy8vfH29mFWl6Z8Vd2G3Y80zdn9DbTR/pTaxg60a9cKx+auzPcNLLex+3G5f8GxpRPo5OhImzbOOLYZivfx8qZx/Qy5z3/BViEYzfpuVsnWgYF2NGy3hJiU0vkrJfQwnbSLp+UUU3nkPu/qHIybNmeHOHRZuX90bAo6jTqwufB54+zHLO+kja37NtWId97T3bSoU5fOk73Z5KPkFW82Lh+P7mdVab1ClNngxVhrO7I5pPhuzu3lPaiv68CclZvU+ctnI15Dm/Hlh1YcS3rG0UW9ce67nOLp6unsm2ZPwzbTRNdUkBLK+Pb69N1Q3GEoy801Lph3WlHiWYwbDDTSpeMa9dT40/4AAA9SSURBVKi4QtTOvjRt0o0rBWkcn9eRRrrtmedTHKaZnfV5p4Yr55WAxF2mv7MR4/YWT8RIe3QK7xmjcHW2wbFVO0zrfE0Tu2koOTfzzETVA7UXnxUptSCZFe0MMR11jOQLq2hm2oItt0tn3Jwrc7Go1YytT5MI85+KTlm5H6g86/CMuW10MB3jp7nr8Goyg1bSrKkD28NLSn82x8dZYNBqrupVmDdmt6WuQRsWryu+9kV9DPji81YE5Dxn18TOtBnuoxL1IsK20ra+LrOO3WT3ZEsaWg1hw6ZNqvT39lnLGKfvqGLWHyW2by1og1GvFaSUiIrzUxzQsZ1NsuiorehjTcsJO0tMfxHcW4VTfWNWBEUTETgPg+/1Gb58ExuV44v6aOUEFz7/WIfZp8S3YnfSwqQ1uyKLT5Bxfy1mumasCk1iv4ctDTosIbxkUqjI5/wsRe4noHTtQ7160kDHntmF+dJb5MthliJfWnIwKoar24ZQs74VvTy82HXkdolOmeT3gpR7iaQcKiL3uWE+ODTSYVqJUZOXKZxzv5i4snYYF0Bv5YFa1Zz7J4x3aIzD9EvqbWXJucOkjvYMWqmek39pnpT7l9HMuV96Q/NZIZJp9rq09lTfZL68yI2GDU3pNmQY7u7uqmXoiO5oV/kMh7ma5x2C1dNyllz78fdQ/7jc/1R+htxn32GknS7D9qpv66seqO20kpTSA5vkPz2Nq+qB2sor9/dWuGLaZQnRIk5zrq79yXKvjMPmRWzD9vvvadZlKEM1ecV9yGCGTV7E3hup5N6Yh41tf44+KJ4ucnVhN+rW1qN7/8L8NYQhQ0cyecZ2InOS8JvfE+c+Sym+0lR2T7GncbsZKln8qXJv1tGreC51/lUGGurQYVXxu7MifHvTVLcH1wtecGhOe2rUNKX7sKFFeX7Y8GGMXXmMGMU6owM0cq/ucqSLfDPCuQb6vTwpnBZ+Y7EjenYTUR7NVuTe0mEUgaUy5gvWdTalxYJLxPt7Ymrcmu1l5D732jysapmz8UniK+T+kPg7iimttOm89EqZeesvk3FlISai47YrsuR5Mjk+0RKD1vNUch8wuQ216pnQZ1DhtSvpMZrp8/aKDlYCvuM603FkWbnfRHtTezz977NztAE1mrRk2FBN+ovvD3YfhefW46ppMVfnt8Gw13KSSjQdZybbo+swjxfZ4SzpYUarKbtLy33wKpwbmbLyVhRhF2bRuEpdWg8oUR8NGcKIuRu5EpFDbqQvLYxbseNx8QlS767GTM+CNffj2DbCQuTXrSU6i4XkFcm9MgHpzqLu1KulR7eS+XKYyJfTtxCiqbvuHFvL4P5dMfq8EYOWKflVvV7y+0DKvURSDhV6oJZkfPrqoWs/mftlxKqYn/62nMfefflO14GtIWUPlsfNrQMxsO2Nn+qdi1mcn9OChq08+A1fmPeb8bpy38bzluazwn3GWjSh3RohuAWPhDgoHaiTmm3FnJ7iRD2zsapRLkLW0rLsA7Wv4NeW+6Z9t5QWDyFCBya2x8h0FLdUDxjm/oS35VQCuW/owJorpXUw+ZovLnUaMuZgsCiF4hyBq7H/SXK/VSVjBcmBDDZsyrD95T/JmXFpNjbWfThc4mnq+MOjMDByI6BcM01j/6xuOPVeIhS2kLJyH4JHGz36bSo7laoYtdyXGP0Xcj+gPLnX6UagMjVk/SAMrUYT/NLoroaI8/RxNGDCQXVOi7swjTr1LNlW9CxvAmtaNkLbaqKqfGSdnYRpE1PWBZWIl8wr9LdoQL99SRREHsDFSJeJB0pfQ8javjTQ68XVtGwiTkwuZ1qOMh0qj70DbDDoto7EV4VXQ17ScTppGzL2WImHjvOfssi6Dk1bzFF1fp7t6IeexcBXDIK8YPsER2q3nM69EnXz80OT0TPsjn/oC26t6Ihux0UihOVzaW5rDHt6klhW7m1miVjL5tDU9hi0m8ejEv2PJ7vHofuuNivvJ/Li/macmjiw4RUVeXroFpXcbw8rI/e6pniF5RO0tJs4lwe3XyrIhXI/HqX0px4dg6FRVy7+hHoq8uA49L/WZfWr+5eSNxAp9xJJOVRM7oVAxQbgYVgPW7eRHH0QQWRkJJERjzi1ZyXj56tH4Q8OtKS63exy3nN/li716uK6UtP05MSwfawB39p2Y/HRB0SIY0WEh3F+zQAa2Dgz/Vi0ZmpIGmdn2vK1SXeOK+dT9osI50n0M37L3775tai43N9isF5tzMfu08RJGNvHd8GwTnv2xWcTdXQaDT5pyqKzL49zZd1biUntxsy4kklB6Crsqjdg+pkff0P0wy1d0baZXDT6VXEy2NjFkNrtV2l+FTWBlV0MqNVyDlcfK2kcQXj4OWYOaU9j7f743SmcBJzDjl5m1Gi5pNz33LetXY9e68uaQzSLulnTbsIOoTdvBq8j9/Gnl6H3jR6Td95Tp3t4OOf2zMGhblMGLtpH4e9YpV5Yjnl1bRYcV9+ReeA3jjo1WlA0SJ79iMWtamHaz0ctc/kZXFjYhi+MO7LcP0zkpwge3r7DkXWbVZKbe2kaJsZdOXC/ROJn3MDD2lh0+OZwXeyvlMuIc+vxDggXKZXDgWkdsXIt+SaXFLaPM6em4yTuKj2QvKes6qmHWddl3AmPISXr5QJ93asNui0Xq+aUq8gPpGejOrTQ3J1SeLzZlfp12nFSVGl5MSfp07wOOu4bCQoTYRLxc9l3N/4BV9Qjyin3mNm6EQ7DNhEW+YzEsO3Y1dHFZcE51TXfOTSexv/9P741Gq8aBc49O576n/4V7U4rCVKVsyCWDXCmbuNBnFeMuiCVM3P6YPq9LavP3VLFQfCRtXRuoM2ILTdVHa0H+0ZRu2YrtqqKWApLW9XEtKevajpIWugOnExNcB61U3X+iPCLrFh/ioioMhWoqAcPTxBx16wt6wOVuI7gxq7h1Prr/1FX1LdKbipIvchgI32sXDy5o0qPCMJOr2HDVSWgmeyf3YZ/vF+d0VvO8UTEy+OL+xig9wXOE3xJFkKefX83HavXpuv0zYSowhLCxTN72HlVXf4uTLenkcsiEko0Hf4e5tQ1EXElynH6rfW01f+MlvMOEyqOH3H/FJPbf81ftBrgFSQ6UzlPWTNAny+dx+F3S2wXcXXn1FmO7D6omnaVE+KNjbYdWx4WnyDl9nJ06zZm9nWRFokX6d/SBL0uK7j3UAnfDby3Hef23UQuz7US4Rip7jRm3GScrTFGTnO4Fq7Egzpf+lyOJOl5NAF7l3HovrI+ktu7R2Fq1YVD8nU5vyuk3Esk5VBRuVfIS43kyNK+GDazxt7eAXsbS8yc2jP9qHpE6cJCdzqM2FyqAVDIT7jJNNcuTN9XYoQrN5Vrh5fSybAZ1sqvozazpaPrdM7Hp6gaRTVZBO8eg76hCTZiH+XhSRtLC1r2Hs2JVz+H97uh4nL/mOW92mJiYI698kCptQXmPRZxI1xRmBzOrh6CRbf53Cp6OK4EOZEs7dqWQYtvkBtziBEd3PC5+XInoCxRx2fQY9g6In9sDsGPksWRaX1xmbgf9e9tpXJw9iCaNTXEWvWArB3NLOwYt+YQESXnAAgdOjVnIB3H7iCljAfmxl5hgosrc/yKx4nVxLN95lAmrDlVerrA/5DXkfsXtw8zzFIXI0tNWbCwoEWfkey+HUfJmMq4vYdBHXqw7Yq6SxMVsAqXjmM4XGjaQrR2eHRm4PwjxfGSn8RxH+V1qc2wtbXBqnkbJuwOVnWyc+9sYED/GVyIKJ34OS8e4NXVGRtra+xsRDluPZ5jIekUiLQ6t2Ey7tO3lng9YTr+qwbRafQ6HqnSr4DIQG866+pjZtFPXMPLhhWyZzy9RHoXTQbMv8fsbi6M2V38W6Qxx6bT1WUCV9Q/d0xWwlmGu7UWecgK22YW2PWfzZknmZo6JV/I9xJa6RnQzH4U52OeE3xqOQ5G5lhZWdJz4Xa2LxhEjyGrVG+gyb6+msEDp7DRawJOzvai7jHF0HUOgSUElPwsrnq509LWFCvrZpg1c2ORb/Fc7vCzy3Hp5MFxVRFLZ6dHJwbOPqmKV4XkqGMMtrETcSji3MKYvl7+xOeWM5SfFcHOaU40NbPGxsaGfst2snVWH3qO9imK46xnt1nYwQ4rsd1W1M32HUR9+kQJSSrbxrvSxn0MM8e600LkG3NjewZP9yWuxLleXDvA2LZNMbMWx7CwxaXvUu5qfi78ts8Iuk3dzosSHetrIj27DFjNU9XF5pNwfj4dnU0xF8e36zeJTbtWM7JjT7bcVrcPBdkPWTWlN2amzbCxssCyQz/WBiagDPZnRYq83WMEx0v8YFj6oz306tKdjXfVYcxOu86UDq1FvrcS4TOl0zTR+czMI2TTEBGO5eq7kYKcFw9Z4eaMtbXIA6p8OY4Tj7LIy4tl7wxn0X4p8WNNc6du7LyfqDq/5PeDlHuJpBxeR+6LKCgQ/6mX1+cnHqvEOX+Z8/7vqbjcF/M2xYe4EM31aD6/hbyO3Jfk10t3TRpoPv0kNGGpcGh+jevQhOlVlN32o3GpOp7m71fwOnGg+u5P+vIPX5cK1bFKhiWJLWM70G6Ej6qj9GPhVIelolfy48f/SdfwQ6jCp/n7h1DtV05YNOslv0+k3Esk5fCLyL3kF+GXkHvJ74tfSu4lkp9OEptHt6PVkLWqh28lkt8zUu4lknKQcv/mIOW+8iHlXvLbk8QWj460Hbau6JeFJZLfK1LuJZJykHL/5iDlvvIh5V7y25NPSnwM0c9fyPnlkt89Uu4lknKQcv/mIOW+8iHlXiKRSCqOVlZWFtHR0fLBCYmkBFLu3xyk3Fc+pNxLJBJJxdHKycnh2bNnKP9KJBI1Uu7fHKTcVz6k3EskEknF0VJG7OPj40lOLu9lzxJJ5UTK/ZuDlPvKh5R7iUQiqThayv+UqTkxMTGyAZVINEi5f3OQcl/5kHIvkUgkPx9lwD4hIUEt9wovXrwgKiqKlJQUcnPL/LShRFLJUMpCXp58Z8KbgPJMkDIAIak8FD4LJpFIJJIfR5F65QU5z58/Vw2MFMm9Qnp6uqpCjY2NVe0gF7lU1uXhw4equ1nlbZPLb7s8evRIVS+Vt00ub+eipLeS7uVtk4tc5CIXuby8KPWmMs1eEf1Scq+gjFYqkq/MwU9MTJSLXCrlotzJSkpKKnebXH7bRamLZFpUrkVJb9kGyUUucpHLjy9KfanMuil5h/sluZdIJBKJRCKRSCS/R+D/AWolB/CHQuVFAAAAAElFTkSuQmCC\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n \u003ch2\u003e3.3 Pathway Enrichment:\u003c/h2\u003e\n \u003cp\u003eTo assess the broader functional implications of the identified genetic alterations, we performed pathway enrichment analysis using the DAVID and Reactome databases. This analysis revealed significant enrichment of several key oncogenic pathways across the three cancer types: The TP53 signaling pathway was the most frequently disrupted across DLBC, CHOL, and UCS, reinforcing its fundamental role in cell cycle control and apoptosis.\u003c/p\u003e\n \u003cp\u003eThe PI3K-AKT signaling pathway was highly enriched in UCS, particularly in tumors harboring PIK3CA and PTEN mutations, highlighting the activation of pro-survival signaling as a dominant oncogenic mechanism.\u003c/p\u003e\n \u003cp\u003eChromatin remodeling pathways were significantly affected in DLBC and CHOL, driven by the frequent occurrence of KMT2D and ARID1A mutations, suggesting that epigenetic dysregulation is a key feature of these malignancies.\u003c/p\u003e\n \u003cp\u003eInterestingly, our findings also revealed cancer-type-specific pathway disruptions, such as IDH1 mutations in CHOL, which were strongly associated with altered citrate metabolism and histone methylation, providing a potential target for epigenetic therapy. These results highlight distinct yet overlapping oncogenic processes shaping tumor progression in different cancer types.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 3\u0026nbsp;\u003c/strong\u003e\u003cem\u003ePathway Enrichment and the key genes involved\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003e3.4 Structural and Functional Impact of Oncogenic Mutations\u003c/h2\u003e\n \u003cp\u003eTo further elucidate the consequences of key oncogenic mutations, we conducted protein structural modeling and stability predictions to assess the impact of these alterations at the molecular level. Using AlphaFold-based homology modeling, we generated three-dimensional structures of the wild-type and mutant proteins, while FoldX stability analysis allowed us to quantify the destabilizing effects of specific mutations.\u003c/p\u003e\n \u003cp\u003eTP53 Mutations: Structural modeling of R175H and R248Q mutations revealed significant disruptions in the DNA-binding domain of TP53, impairing its ability to interact with target genes and activate apoptotic pathways. These mutations introduce conformational instability, effectively abolishing the tumor suppressive function of TP53.\u003c/p\u003e\n \u003cp\u003eKMT2D Mutations: Pathogenic variants identified in DLBC and CHOL were mapped to the SET domain, which is responsible for histone methylation. Our analysis showed that these mutations reduce the stability of the SET domain, likely impairing histone methyltransferase activity and contributing to widespread epigenetic dysregulation.\u003c/p\u003e\n \u003cp\u003eIDH1 R132H Mutation: This well-characterized oncogenic alteration, detected in CHOL, results in a gain-of-function enzymatic activity that converts \u0026alpha;-ketoglutarate to the oncometabolite 2-hydroxyglutarate. Structural modeling demonstrated that this mutation disrupts the active site geometry, altering substrate binding and enzymatic efficiency, which in turn leads to aberrant DNA and histone methylation patterns.\u003c/p\u003e\n \u003cp\u003eTo validate these findings, we further assessed the pathogenic potential of these mutations using PolyPhen-2 and SIFT prediction tools, both of which classified the majority of these variants as highly deleterious. A summary of these structural alterations and their predicted functional consequences is illustrated in Figure X, providing visual insights into how these mutations contribute to tumorigenesis.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003e3.5 Comparative Analysis Across Cancer Types\u003c/h2\u003e\n \u003cp\u003eA comparative mutational analysis of DLBC, CHOL, and UCS was conducted to identify shared oncogenic drivers as well as unique genetic signatures specific to each cancer type. This cross-cancer comparison provided insights into both common tumorigenic mechanisms and cancer-type-specific vulnerabilities, which could have implications for targeted therapies.\u003c/p\u003e\n \u003cp\u003eSeveral mutational drivers were shared across multiple cancers, indicating a common dependency on chromatin remodeling and tumor suppressor inactivation. The presence of KMT2D and ARID1A mutations in DLBC and CHOL suggests that disruptions in epigenetic regulation play a fundamental role in oncogenesis across these malignancies. Additionally, TP53 and PIK3CA mutations were identified as key drivers in CHOL and UCS, reinforcing the role of cell cycle dysregulation and PI3K-AKT signaling in tumor growth and survival. These shared alterations suggest that therapies targeting chromatin remodeling defects or PI3K pathway activation could have broad applicability across multiple tumor types.\u003c/p\u003e\n \u003cp\u003eDespite these commonalities, each cancer type exhibited unique mutational signatures that distinguish its molecular landscape. DLBC was highly enriched for IGH-related mutations, highlighting the role of immune system dysregulation in lymphoma pathogenesis. CHOL, on the other hand, was characterized by BAP1 and PBRM1 mutations, underscoring the importance of epigenetic regulation and chromatin remodeling in cholangiocarcinoma tumorigenesis. In contrast, UCS was overwhelmingly dominated by TP53 mutations (91%), reinforcing its role as a driver of genomic instability and uncontrolled proliferation in this aggressive cancer type.\u003c/p\u003e\n \u003cp\u003eBy identifying both shared and unique oncogenic alterations, this comparative analysis highlights key molecular dependencies that define each tumor type. These findings may help refine cancer classification, improve biomarker-driven therapies, and guide precision medicine approaches based on tumor-specific genetic vulnerabilities.\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eTable\u0026nbsp;4: Mutational features and their key findings\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eNovel Findings and Clinical Implications\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eOur study highlights several key genetic drivers and their associated pathways, shedding light on potential therapeutic strategies tailored to the specific mutational landscape of each cancer type.\u003c/p\u003e\n \u003cp\u003eDLBC tumors harboring KMT2D mutations may be particularly susceptible to chromatin-modifying agents such as EZH2 inhibitors, which have shown promise in preclinical models of lymphoma.\u003c/p\u003e\n \u003cp\u003eCHOL patients with IDH1 mutations could benefit from targeted therapies such as IDH inhibitors (e.g., Ivosidenib), which have demonstrated efficacy in clinical trials by reversing the metabolic reprogramming associated with mutant IDH1.\u003c/p\u003e\n \u003cp\u003eUCS tumors with PI3K-AKT pathway alterations, including PIK3CA and PTEN mutations, may be prime candidates for PI3K inhibitors, which have shown potential in treating malignancies driven by dysregulated PI3K signaling.\u003c/p\u003e\n \u003cp\u003eAdditionally, the co-occurrence and exclusivity patterns identified in our study suggest that certain genetic alterations may define distinct molecular subtypes of these cancers, warranting further investigation into their prognostic and therapeutic significance.\u003c/p\u003e\n \u003cp\u003eOverall, our comprehensive in silico analysis provides novel insights into the genomic landscape of DLBC, CHOL, and UCS, highlighting the importance of integrating mutation profiling, structural modeling, and pathway analysis to identify potential vulnerabilities in these malignancies. These findings not only enhance our understanding of the underlying oncogenic mechanisms but also pave the way for the development of targeted therapeutic strategies aimed at improving clinical outcomes.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"4. DISCUSSION","content":"\u003cp\u003eIn this study, we conducted a comprehensive in silico analysis to characterize the mutational landscape of Diffuse Large B-Cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS) using data from The Cancer Genome Atlas (TCGA). By integrating mutation profiling, structural modeling, and pathway enrichment analysis, we identified key genetic drivers and their functional consequences, shedding light on the molecular mechanisms underlying these malignancies. Our findings not only confirm previously established oncogenic alterations but also uncover novel patterns of mutation co-occurrence and exclusivity, providing new insights into potential therapeutic strategies.\u003c/p\u003e \u003cp\u003eCompared to prior pan-cancer studies (Bailey et al., 2018; Martincorena et al., 2017), which broadly cataloged mutation frequencies, our study takes a focused approach by integrating comparative analyses across DLBC, CHOL, and UCS. While previous research has established the presence of known oncogenic drivers, our findings reveal novel co-occurrence patterns and pathway-specific vulnerabilities unique to these three cancers. The identification of recurrent mutations in TP53, KRAS, and IDH1 in UCS and CHOL suggests potential mechanistic overlap, whereas the distinct mutational profile of DLBC highlights unique hematologic tumorigenic drivers. These insights refine existing mutation databases and can inform more tailored therapeutic strategies.\u003c/p\u003e \u003cp\u003e \u003cb\u003eGenomic Drivers and Their Functional Consequences\u003c/b\u003e \u003c/p\u003e \u003cp\u003eOur results reveal that TP53, KMT2D, and ARID1A mutations are among the most frequently altered genes across these cancer types. TP53 mutations, which lead to loss of tumor suppressor function, were widespread, reinforcing their fundamental role in genomic instability and cancer progression. In UCS, we found PIK3CA mutations to be highly prevalent, suggesting that aberrant PI3K-AKT signaling is a major driver of tumorigenesis. Notably, IDH1 mutations were uniquely enriched in CHOL, highlighting the role of metabolic reprogramming in cholangiocarcinoma.\u003c/p\u003e \u003cp\u003eOur protein structural modeling and stability analysis provided further evidence of the functional consequences of these mutations. The R175H and R248Q mutations in TP53 were found to disrupt the DNA-binding domain, effectively abolishing its transcriptional activity. Similarly, mutations in KMT2D (SET domain) and ARID1A (chromatin remodeling domain) introduced conformational changes that likely impair histone modification and transcriptional regulation. The IDH1 R132H mutation, a well-known oncogenic driver in CHOL, was shown to alter the enzyme\u0026rsquo;s active site, leading to the production of the oncometabolite 2-hydroxyglutarate, which drives epigenetic dysregulation.\u003c/p\u003e \u003cp\u003eThese findings highlight the functional relevance of these mutations in tumorigenesis and reinforce the importance of integrating structural biology approaches into cancer genomics studies. By identifying how these mutations alter protein stability and function, we provide a mechanistic basis for their oncogenic effects.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMutation Co-Occurrence and Therapeutic Implications\u003c/b\u003e \u003c/p\u003e \u003cp\u003eOne of the most significant findings of our study is the identification of mutation co-occurrence and exclusivity patterns, which suggest distinct molecular subtypes within these cancers. For example, KMT2D and ARID1A mutations were found to co-occur in DLBC and CHOL, suggesting a collaborative role in chromatin remodeling dysfunction. Conversely, mutations in TP53 and PIK3CA exhibited mutual exclusivity in UCS, implying that tumors may evolve through distinct oncogenic pathways, one involving genomic instability (TP53 inactivation) and the other driven by PI3K pathway hyperactivation.\u003c/p\u003e \u003cp\u003eThese insights have direct clinical implications. Tumors harboring KMT2D or ARID1A mutations may be particularly sensitive to chromatin-modifying drugs, such as EZH2 inhibitors, which have shown promise in treating cancers with disrupted histone modification. Similarly, IDH1-mutant CHOL tumors may benefit from targeted IDH inhibitors such as Ivosidenib, which counteract the metabolic reprogramming driven by the R132H mutation. Furthermore, the mutual exclusivity between TP53 and PIK3CA mutations in UCS suggests that patients with PIK3CA-driven tumors could respond well to PI3K pathway inhibitors, whereas those with TP53 inactivation may require alternative therapeutic strategies, such as APR-246, a small molecule that restores p53 function.\u003c/p\u003e \u003cp\u003eThese findings emphasize the potential for precision medicine approaches in these cancers, where specific genomic alterations can inform tailored treatment strategies. The identification of co-occurring mutations also suggests that combination therapies targeting multiple oncogenic pathways may be more effective than single-agent treatments.\u003c/p\u003e \u003cp\u003e \u003cb\u003eLimitations and Future Directions\u003c/b\u003e \u003c/p\u003e \u003cp\u003eDespite the comprehensive nature of our in silico analysis, certain limitations must be acknowledged. First, while we performed extensive structural and functional impact assessments, our findings require experimental validation through in vitro and in vivo studies. Future work should focus on confirming the effects of these mutations on protein stability, chromatin accessibility, and metabolic alterations using biochemical assays and cell-based models.\u003c/p\u003e \u003cp\u003eAdditionally, our study was limited to publicly available TCGA data, which may not fully capture the genetic heterogeneity of these malignancies across different populations. Expanding this analysis to include whole-genome sequencing data from diverse cohorts could provide a more comprehensive view of the mutational landscape. Moreover, multi-omics integration (including transcriptomic and epigenomic data) would allow for a deeper understanding of how these genetic alterations drive tumorigenesis at the systems level.\u003c/p\u003e \u003cp\u003eAnother important aspect to explore is the potential for synthetic lethality in these cancers. Given the strong mutual exclusivity observed between TP53 and PIK3CA mutations, it would be valuable to investigate whether loss of TP53 function renders tumors more sensitive to PI3K pathway inhibition, or vice versa. Similarly, the co-occurrence of KMT2D and ARID1A mutations raises the possibility that targeting compensatory chromatin regulators could be an effective therapeutic approach in tumors with dual chromatin remodeling defects.\u003c/p\u003e \u003cp\u003eOur study uniquely contributes to cancer genomics by systematically comparing the mutational landscapes of three underexplored cancer types: DLBC, CHOL, and UCS. By identifying novel mutation co-occurrence and pathway disruptions, we extend previous research beyond simple mutation frequencies, offering deeper insights into tumor biology and potential therapeutic implications. This comparative framework provides a basis for future in silico and experimental validation of these mutational interactions in rare cancers.\u003c/p\u003e"},{"header":"5. CONCLUSIONS","content":"\u003cp\u003eIn summary, our study provides a comprehensive computational analysis of the mutational landscape in DLBC, CHOL, and UCS, uncovering key oncogenic drivers and their functional consequences. Through mutation profiling, structural modeling, and pathway enrichment analysis, we identified potential therapeutic vulnerabilities that could inform precision oncology strategies for these malignancies. Our findings underscore the importance of integrating computational and structural biology approaches to decipher the molecular mechanisms driving cancer and pave the way for future experimental validation and clinical translation.\u003c/p\u003e \u003cp\u003eThis study not only reinforces known oncogenic mechanisms but also introduces novel insights into mutation interactions, highlighting their implications for drug development and targeted therapy. Moving forward, further experimental studies and clinical trials will be essential to translating these findings into actionable biomarkers and treatment strategies for patients with these aggressive cancers.\u003c/p\u003e \u003cp\u003e \u003cb\u003eClinical and Therapeutic Implications\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eOur findings provide a framework for potential precision medicine approaches tailored to tumor-specific genetic dependencies. DLBC tumors harboring KMT2D mutations may be responsive to chromatin-modifying drugs, targeting the epigenetic dysregulation observed in these cancers. CHOL patients with IDH1 mutations could benefit from IDH inhibitors, which may help restore normal metabolic function. In UCS, the dominance of TP53 mutations (91%) suggests that synthetic lethality-based approaches, such as PARP inhibitors, could be an effective therapeutic strategy by exploiting vulnerabilities in DNA damage repair pathways.\u003c/p\u003e \u003cp\u003eOverall, this study enhances our understanding of genetic interactions and pathway alterations driving DLBC, CHOL, and UCS, paving the way for future research exploring biomarker-driven therapies and precision oncology strategies. Further experimental validation and clinical integration will be essential to translate these insights into effective therapeutic interventions.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAuthor Contributions\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author solely conceptualized, designed, and conducted this study, including data analysis, interpretation, and manuscript writing. No other individuals contributed to the research or writing process.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eFunding\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted independently without any external funding or institutional support\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eCompeting Interests\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declares no competing financial or non-financial interests that could have influenced the research findings.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eData Availability\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used in this study are publicly available and were retrieved from GEO TCGA.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eEthcal Approval\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSince this study exclusively utilized publicly available transcriptomic datasets, no ethical approval or informed consent was required.\u003c/p\u003e"},{"header":"References","content":"\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eWeinstein JN, Collisson EA, Mills GB, et al. The Cancer Genome Atlas Pan-Cancer analysis project.\u0026nbsp;\u003cem\u003eNat Genet.\u003c/em\u003e 2013;45(10):1113-1120.\u003cbr\u003e\u0026nbsp;DOI: 10.1038/ng.2764\u003c/li\u003e\n \u003cli\u003eCerami E, Gao J, Dogrusoz U, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.\u0026nbsp;\u003cem\u003eCancer Discov.\u003c/em\u003e 2012;2(5):401-404.\u003cbr\u003e\u0026nbsp;DOI: 10.1158/2159-8290.CD-12-0095\u003c/li\u003e\n \u003cli\u003eKanehisa M, Goto S. KEGG: Kyoto Encyclopedia of Genes and Genomes.\u0026nbsp;\u003cem\u003eNucleic Acids Res.\u003c/em\u003e 2000;28(1):27-30.\u003cbr\u003e\u0026nbsp;DOI: 10.1093/nar/28.1.27\u003c/li\u003e\n \u003cli\u003eVogelstein B, Papadopoulos N, Velculescu VE, et al. Cancer genome landscapes.\u0026nbsp;\u003cem\u003eScience.\u003c/em\u003e 2013;339(6127):1546-1558.\u003cbr\u003e\u0026nbsp;DOI: 10.1126/science.1235122\u003c/li\u003e\n \u003cli\u003eHanahan D, Weinberg RA. Hallmarks of cancer: the next generation.\u0026nbsp;\u003cem\u003eCell.\u003c/em\u003e 2011;144(5):646-674.\u003cbr\u003e\u0026nbsp;DOI: 10.1016/j.cell.2011.02.013\u003c/li\u003e\n \u003cli\u003eFruman DA, Chiu H, Hopkins BD, et al. The PI3K pathway in human disease.\u0026nbsp;\u003cem\u003eCell.\u003c/em\u003e 2017;170(4):605-635.\u003cbr\u003e\u0026nbsp;DOI: 10.1016/j.cell.2017.07.029\u003c/li\u003e\n \u003cli\u003eKastenhuber ER, Lowe SW. Putting p53 in context.\u0026nbsp;\u003cem\u003eCell.\u003c/em\u003e 2017;170(6):1062-1078.\u003cbr\u003e\u0026nbsp;DOI: 10.1016/j.cell.2017.08.028\u003c/li\u003e\n \u003cli\u003eDang L, White DW, Gross S, et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate.\u0026nbsp;\u003cem\u003eNature.\u003c/em\u003e 2009;462(7274):739-744.\u003cbr\u003e\u0026nbsp;DOI: 10.1038/nature08617\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Pan-cancer analysis, TCGA, DLBC, CHOL, UCS, mutational landscape, in silico analysis, precision oncology","lastPublishedDoi":"10.21203/rs.3.rs-6351659/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6351659/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cb\u003eBackground:\u003c/b\u003e\u003c/p\u003e \u003cp\u003eUnderstanding the mutational landscape across different cancer types is crucial for identifying shared and cancer-specific oncogenic drivers. In this study, we perform a pan-cancer analysis of three underexplored malignancies, Diffuse Large B-cell Lymphoma (DLBC), Cholangiocarcinoma (CHOL), and Uterine Carcinosarcoma (UCS), using publicly available data from The Cancer Genome Atlas (TCGA). By analyzing somatic mutation profiles, we identify highly recurrent mutations in TP53, KRAS, and PIK3CA, with TP53 being the most frequently mutated gene across all three cancers. Additionally, we uncover unique mutational signatures, including frequent BCL2 mutations in DLBC and IDH1 mutations in CHOL, reflecting their distinct tumorigenic pathways. Using Fisher\u0026rsquo;s exact test, we assess the statistical significance of these findings, highlighting key genetic alterations with potential clinical relevance. Our results provide a comparative perspective on mutational drivers, emphasizing shared oncogenic mechanisms and cancer-specific vulnerabilities, which could inform precision oncology strategies.\u003c/p\u003e\u003cp\u003e\u003cb\u003eMethods:\u003c/b\u003e\u003c/p\u003e \u003cp\u003eIn this study, we conducted a pan-cancer in silico analysis using whole-exome sequencing (WES) data from The Cancer Genome Atlas (TCGA). We identified frequently mutated genes, analyzed co-occurrence and mutual exclusivity patterns, and performed pathway enrichment analyses to uncover key oncogenic mechanisms. Statistical significance was determined for mutation prevalence, and functional implications were assessed through pathway-based annotation.\u003c/p\u003e\u003cp\u003e\u003cb\u003eResults:\u003c/b\u003e\u003c/p\u003e \u003cp\u003eOur analysis revealed that TP53, KMT2D, and ARID1A are among the most recurrently mutated genes across DLBC, CHOL, and UCS, suggesting their central role in tumorigenesis. KMT2D and ARID1A mutations co-occurred significantly in CHOL and DLBC, implicating chromatin remodeling in these cancers. Conversely, mutations in TP53 and PIK3CA in UCS were mutually exclusive, indicating distinct oncogenic pathways. Pathway analysis highlighted disruptions in TP53 signaling, PI3K-AKT activation, and chromatin modification, reinforcing their role in oncogenesis. Comparative analysis distinguished shared mutations with pan-cancer relevance from cancer-specific alterations such as BAP1 and IDH1 mutations in CHOL, which present unique therapeutic vulnerabilities.\u003c/p\u003e\u003cp\u003e\u003cb\u003eConclusion:\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThis study provides a comprehensive genomic comparison of DLBC, CHOL, and UCS, highlighting both common and cancer-specific mutational drivers. By identifying shared oncogenic pathways and distinct mutational signatures, our findings contribute to precision oncology efforts and suggest potential therapeutic targets. This pan-cancer framework advances our understanding of genetic vulnerabilities in diverse malignancies and provides a foundation for mutation-guided treatment strategies.\u003c/p\u003e","manuscriptTitle":"Decoding the Most Mutated Genes in Cancer: a Pan-cancer in Silico Analysis of DLBC, CHOL, UCS","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-02 07:48:03","doi":"10.21203/rs.3.rs-6351659/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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