Identification of Hub Genes and Development of the Diagnostic Model for Lung Metastasis in Osteosarcoma through Comprehensive Bioinformatics Analysis and Machine Learning

Identification of Hub Genes and Development of the Diagnostic Model for Lung Metastasis in Osteosarcoma through Comprehensive Bioinformatics Analysis and Machine Learning | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 17 January 2025 V1 Latest version Share on Identification of Hub Genes and Development of the Diagnostic Model for Lung Metastasis in Osteosarcoma through Comprehensive Bioinformatics Analysis and Machine Learning Authors : Lin Fan , yuchen Bao , Guodong Li , Zhengdong Cai , and Songwen Zhou 0000-0003-1412-9334 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173711036.67030099/v1 208 views 105 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background The correlation of metastatic organotropism between osteosarcoma (OS) and lung adenocarcinoma (LUAD) suggests a potential metastatic niche connecting bone and lung tumors. This study aims to analyze and identify the metastatic factors and underlying mechanisms influencing tumor behavior. Methods Data were sourced from the public repositories TCGA and TARGET. The Limma package, along with WGCNA, was utilized to pinpoint differentially expressed genes. To uncover genes associated with lung metastasis in osteosarcoma, we conducted survival analysis and employed the LASSO regression. Candidate genes were further explored through enrichment analyses, as well as immune infiltration studies. Diagnostic effectiveness was assessed via nomograms and ROC. Additionally, potential small molecule drugs were identified using the Connectivity Map database. Results The TARGET dataset contained 1,698 DEGs, while LUAD comprised 17,110 DEGs and 1,778 module genes. Analyzing the overlap between DEGs associated with OS and key genes identified in LUAD resulted in 52 shared genes. Following univariate survival analysis alongside machine learning methodologies, six essential genes were identified for constructing the nomogram, which demonstrated substantial prognostic potential. Immune infiltration analyses indicated a disruption in associated immune cell populations. Conclusion Six hub genes were identified, leading to the nomogram establishmentfor diagnosing lung metastasis in OS. Supplementary Material File (manuscript.docx) Download 124.83 KB Information & Authors Information Version history V1 Version 1 17 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords immune infiltration lung adenocarcinoma machine learning metastasis osteosaroma Authors Affiliations Lin Fan Shanghai Tenth People's Hospital View all articles by this author yuchen Bao Tongji University Affiliated Shanghai Pulmonary Hospital View all articles by this author Guodong Li Shanghai Tenth People's Hospital View all articles by this author Zhengdong Cai Shanghai General Hospital View all articles by this author Songwen Zhou 0000-0003-1412-9334 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 208 views 105 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Lin Fan, yuchen Bao, Guodong Li, et al. Identification of Hub Genes and Development of the Diagnostic Model for Lung Metastasis in Osteosarcoma through Comprehensive Bioinformatics Analysis and Machine Learning. Authorea . 17 January 2025. 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