Expression Profiles of VEGF-A, CD31 and GRP78 in Non-Small Cell Lung Cancer. | 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 Research article Expression Profiles of VEGF-A, CD31 and GRP78 in Non-Small Cell Lung Cancer. Maha Alkeilani, Mohammad A. Alqudah, Basima A. Almomani, Moath M. Alrjoub, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-115874/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract Background Angiogenesis is mandatory for tumor growth and progression. The modest response to the anti-angiogenic therapies in non-small cell lung cancer reflects the presence of confounding molecular factors. The aims of this study were to investigate the expression levels of VEGF-A, CD31 and GRP78 and test for significant correlations between them. Methods Paraffin-embedded NSCLC tissue samples (71 adenocarcinoma and 23 squamous cell carcinoma) were retrospectively collected from 94 patients who underwent surgical resection between 2008 and 2015; and did not receive chemotherapy or radiotherapy prior to surgery. The expressions of VEGF-A, CD31 and GRP78 were determined by immunohistochemistry. Results High expression levels of VEGF-A, CD31 and GRP78 were observed in 15, 36 and 74 cases, respectively. Adenocarcinomas expressed higher levels of the aforementioned proteins as compared with squamous cell carcinomas (p-value < 0.05). Moreover, a statistically significant association was found between VEGF-A and CD31 expression levels (p-value = 0.006). Conclusions Our study was the first to investigate the associations between GRP78 and the angiogenesis markers CD31 and VEGF-A in NSCLC patients. High GRP78 expression was revealed in the majority of the investigated samples. Nevertheless, no relationship was found between GRP78 and VEGF-A or CD31 which could be attributed to small sample size. On the other hand, the positive association between VEGF-A and CD31 expression levels suggests that VEGF-A may cooperate with CD31 to promote angiogenesis in NSCLC. Cancer Biology Oncology NSCLC angiogenesis microvessel density GRP78 CD31 VEGF-A Figures Figure 1 Figure 1 Figure 2 Figure 2 Figure 3 Figure 3 Introduction Despite the critical progress in the diagnosis and treatment, lung cancer is still the second most common cancer in both sexes accounted for about 25% of all cancer cases in 2019 [1]. Moreover, it is the most common cause of cancer-related mortality responsible for about one fourth of cancer deaths [1]. NSCLC a devastating subtype of lung cancer that represents the majority of the cases [2], is a heterogeneous disease in terms of histology and is classified into three major groups; squamous cell carcinoma, adenocarcinoma and large-cell carcinoma [3, 4]. Angiogenesis, or neovascularization, is the process of proliferation, migration, and sprouting of endothelial cells resulting in remodeling of blood vessels. This is considered a viable step in the process of carcinogenesis to provide the blood supply necessary for the growth and metastasis of solid tumors. Vascular endothelial growth factor A (VEGF-A) is one of the most important proangiogenic factors and is an angiogenesis marker that was shown to be overexpressed in NSCLC [5, 6]. It has driven the advent of bevacizumab, a humanized recombinant monoclonal antibody to VEGF-A which is approved for treatment of non-squamous subtypes of lung cancer [7]. CD31, also called platelet endothelial cell adhesion molecule-1 (PECAM-1), is another angiogenesis marker and is used as a direct measure of the intratumoral microvessel density (MVD) [8]. It is a 130-kd cell membrane protein that belongs to the immunoglobulin superfamily and is expressed on endothelial cells and stimulates vascular development and migration of tumor and endothelial cells [9]. Due to the modest response to standard chemotherapy, the treatment of NSCLC has moved from only recruiting traditional anticancer agents to the use of targeted biological drugs such as antiangiogenic agents. Despite the many trials that extensively evaluated the efficacy of antiangiogenic agents, only the addition of bevacizumab to the platinum-based chemotherapy in treatment of advanced NSCLC has resulted in a moderate increase in patients’ overall survival [10, 11]. This was mainly attributed to the development of resistance and the unavailability of predictive biomarkers for antiangiogenic therapy response. Thus, more focus should be directed toward better understanding of the angiogenesis pathways and their biological components. GRP78, also referred to as binding immunoglobulin protein (BiP), is an endoplasmic reticulum stress marker. The correlation between GRP78 and angiogenesis was extensively studied in vitro and in vivo , and GRP78 was found to be a key regulator of tumor angiogenesis [12-14]. Knockdown of GRP78 in endothelial cells of mammary tumors in mice was associated with reduced angiogenesis in the tumor tissue and not in the normal tissues, and this was attributed to inhibiting VEGF receptor 2 and VEGF-induced angiogenesis [12-14]. However, up to our knowledge, there are no studies reporting the relationship between GRP78 and neovascularization in NSCLC. The aims of this study were to investigate the expression levels of VEGF-A, CD31 and GRP78 and test for significant correlations between them. Methodology Patients and tissue samples This is a retrospective analysis of a total of 94 paraffin-embedded NSCLC tissue samples (71 adenocarcinoma and 23 squamous cell carcinoma) provided by the department of pathology of King Abdulla University Hospital (KAUH) in Irbid, Jordan. The samples represented patients who underwent surgical resection between 2008 and 2015; and did not receive chemotherapy or radiotherapy prior to surgery. Immunohistochemical (IHC) staining IHC staining was performed using the Dual Link System HRP Kit, K8000 (Dako, Glostrub, Denmark) according to the manufacturer’s instructions. Briefly 4 μm sections of paraffin-embedded NSCLC tissues were performed to analyze the expression of GRP78, VEGF-A, and CD31 proteins. The sections were deparaffinized and dehydrated with xylene and graded ethanol (100%, 95%, 70%, 50%, and 30%) then rehydrated with distilled water. Antigen retrieval was performed in a PT-link Instrument (Dako Glostrup, Denmark) using high pH citrate buffer for 20 minutes. Endogenous peroxidases activity were blocked by incubation with 2.5% hydrogen peroxide for 10 minutes. Slides were then washed with phosphate buffer saline twice. Next, the slides were incubated for 45 minutes at room temperature with the primary antibodies against GRP78, 1:200; VEGF-A, 1:200; and CD31, 1:100 (ab21685, ab46154, ab28364 respectively; rabbit anti-human polyclonal immunoglobulins; Abcam Biotech Company, Cambridge, UK). Slides were then washed twice with PBS and then signal visualization was carried out using the Envision Dual Link System HRP Kit , K8000 ( Dako, Glostrup, Denmark). Slides were then washed with distilled water and finally counterstained with Mayer’s hematoxylin. Staining evaluation The stained sections were reviewed by two experienced pathologists who did not have access to the clinical data of patient cohorts, and then reevaluated by another independent pathologist. GRP78 and VEGF expression score Immunoreactivity of GRP78 and VEGF-A was evaluated in a semiquantitative fashion where we considered both the intensity of staining and the proportion of cells stained. The intensity scores (IS) were; 0, no staining; 1, weak staining; 2, moderate staining; and 3, strong staining. The proportion of cells stained ranged from 1%-100%, then proportion scores (PS) were given as follows: 0 for staining 80%. Then a total score (TS) was calculated by multiplying the IS and the PS with a range from 0-12. For statistical analysis, we divided the patients into three groups, samples with a TS of 0 were considered negative, a TS of ≥7 were considered high, while those with a TS of ≤6 were considered low. CD31 expression score CD31 was scored as a percentage of CD31 positive vessels in the tumor field with the highest vessel density as; high (high vessel tumors), vessels are 50% or more of tumor surface area; low (low vessel tumors), vessels are less than 50% of tumor surface area Statistical analysis Patients' data were presented as mean ± standard deviation (continuous variables) or as numbers and percentages (categorical variables). The predictors for GRP78 expression level (CD31, VEGF-A expression, age, gender and histological type) were examined using Student t-test, Chi-square (χ 2 ) test or Fisher’s exact test as appropriate. All tests were two-sided and statistical significance was considered as p<0.05. All analyses was carried out using the Statistical Package for Social Sciences (SPSS) version 19. Results This study was performed on 94 retrospective cases of NSCLC received at the pathology department of King Abdulla University Hospital from 2008 to 2015. Clinical characteristics The mean age of patients was 63.15 years old (SD ± 11.88) and 73.4% of them were males (n=69). Approximately, three quarters of the patients had adenocarcinoma (n=71, 75.5%) compared to about a quarter of them who had squamous cell carcinoma (n=23, 24.5%). Pathology results VEGF-A was expressed in the cytoplasm of the cancer cells as shown in ( Figure 1 ). 80 cases (85.1%) demonstrated positively stained tumor cells, of which only 15 cases (18.8%) had high VEGF-A level ( Table 1 ). Table 1. VEGF immunoreactivity in human NSCLC. Immunonegative, n (%) Immunopositive cases, n (%) Histological subtype Low High Adenocarcinoma 5 (7) 51 (71.8) 15 (21.2) Squamous cell carcinoma 9 (39.1) 14 (60.9) 0 p-value <0.001, adenocarcinoma versus squamous cell carcinoma (χ²-test) Regarding CD31 expression, the protein was expressed on the membrane of the endothelial cells ( Figure 2 ), and 36 specimens expressed high levels of the protein ( Table 2 ). Table 2. CD31 immunoreactivity in human NSCLC Immunopositive cases, n (%) Histological subtype Low High Adenocarcinoma 37 (52.1) 34 (47.9) Squamous cell carcinoma 21 (91.3) 2 (8.7) p-value = 0.001, adenocarcinoma versus squamous cell carcinoma (χ²-test) 82 specimens (87.2%) demonstrated GRP78-positively stained tumor cells, the remaining 12 samples revealed negative staining. Staining was cytoplasmic ( Figure 3 ) and of the positively stained samples, 74 cases exhibited high GRP78 expression and 20 cases exhibited weak expression ( Table 3 ). Table 3. GRP78 immunoreactivity in human NSCLC Immunonegative, n (%) Immunopositive cases, n (%) Histological subtype Low High Adenocarcinoma 6 (8.5) 5 (7) 60 (84.5) Squamous cell carcinoma 6 (26.1) 3 (13.1) 14 (60.8) p-value = 0.045, adenocarcinoma versus squamous cell carcinoma (χ²-test) Expression of VEGF-A, CD31 and GRP78 is associated with tumor histological subtype Statistically significant associations were found between histological subtype and the expression levels of VEGF-A, CD31 and GRP78. VEGF-A was positively expressed in 66 cases (93%) of the adenocarcinoma and 14 cases (60.9%) of the squamous cell carcinoma. The frequency of VEGF-A immunopositivity with high expression was significantly greater in the adenocarcinoma subtype than the squamous cell carcinoma (p-value < 0.001, Table 1 ). CD31 high expression was observed in 34 cases (47.9%) of the adenocarcinoma and only 2 cases (8.7%) of the squamous cell carcinoma. The frequency of CD31 high expression was significantly higher in the adenocarcinoma compared to squamous cell carcinoma (p-value = 0.001, Table 2 ). GRP78 immunopositive expression was observed in 65 cases (91.5%) of adenocarcinoma and 17 cases (73.9%) of squamous cell carcinoma. The frequency of highly positive GRP78 expression was significantly greater in the adenocarcinoma compared to the squamous cell carcinoma tissues (p-value = 0.045, Table 3 ). VEGF expression is associated with CD31 expression A statistically significant association between VEGF-A and CD31 was observed. 60.4% of low-CD31 expressions show low VEGF-A expressions and 16.7% of the high-CD31 expressions exhibited high VEGF-A expressions (p-value = 0.006, Table 4 ). Table 4. Association between VEGF and CD31 CD31, n (%) p-value VEGF Low High Negative 14 (24.1) 0 0.006 Low 35 (60.4) 30 (83.3) High 9 (15.5) 6 (16.7) GRP78 expression is not associated with VEGF-A or CD31 expression As shown in Table 5 , there were no significant associations between GRP78 expression and VEGF-A or CD31 expressions. Table 5. Association between GRP78 and VEGF GRP78, n (%) p-value VEGF Negative Low High Negative 2 (16.7) 0 12 (16.2) 0.419 Low 8 (66.7) 8 (100) 49 (66.2) High 2 (16.6) 0 13 (17.6) CD31 Low 8 (66.7) 4 (50) 46 (62.2) 0.743 High 4 (33.3) 4 (50) 28 (37.8) Discussion It is well known that angiogenesis is mandatory for tumor growth and progression which prompted the innovation of antiangiogenic therapies. Nevertheless, their usefulness in the treatment of NSCLC is limited by the occurrence of resistance and the unavailability of reliable predictive biomarkers. This highlights the urgent need for the identification of novel biomarkers that aid in the selection of the appropriate antiangiogenic agent to achieve the best therapeutic outcomes in patients with NSCLC. Furthermore, these biomarkers may represent new therapeutic target for new improved antiangiogenic agents. VEGF-A, a proangiogenic growth factor, was first reported as a vascular permeability factor then as an endothelial-specific mitogen responsible for the induction of angiogenesis via promoting endothelial cell migration, proliferation, differentiation and survival [15, 16]. It was overexpressed in several types of cancers such as breast cancer [17], pancreatic cancer [18], and NSCLC [5, 6], among others [19, 20]. However, a positive correlation between VEGF-A and MVD could not be proved in many studies [21-23]. Thus indicating that other molecular factors play a role in the angiogenesis process. GRP78, a key regulator of the endoplasmic reticulum, promotes cancer cell proliferation, invasion and migration and different studies revealed its proangiogenic role in cancer [24-26]. One study revealed that the expression of GRP78 is necessary for the angiogenesis required for the progression of the tumor xenograft [27]. Moreover, GRP78 was overexpressed in many types of tumors and it was related to a more aggressive behavior and poor prognosis [28-31]. Our data demonstrate that GRP78 was highly expressed in about 79% of the NSCLC cases. Our statistical analysis showed higher staining scores of VEGF-A, CD31 and GRP78 in adenocarcinoma compared with squamous cell carcinoma (p-value < 0.001, p-value = 0.001, and p-value = 0.045, respectively). The positive correlation between VEGF-A expression and adenocarcinoma was previously revealed in many studies [32-35]. On the other hand, other researchers could not come out with the same conclusion neither for CD31 [8, 35-38]. Controversy exists in literature regarding the association between GRP78 expression and histological type of NSCLC. In parallel with our result, a study by Kwon, et al also reported higher expression of GRP78 in adenocarcinoma than squamous cell carcinoma [39]. However, an opposite finding was shown by Imai et al [40]. Nevertheless, no association was revealed by other studies [41-44]. Interestingly, we found a significant association between VEGF-A and CD31 (p = 0.006). This result is in keeping with that reported by El-Gohary et al. in prostatic adenocarcinoma tissues [45]. However, several other studies on different types of cancer showed no association between the two proteins [8, 35, 46, 47]. Our result indicates a possible contribution of VEGF-A in microvessel formation, but further studies with larger sample size are required to determine the type of the relationship between VEGF-A and CD31 in NSCLC in order to have a clearer insight into the related angiogenesis pathway. In the current study, there were few limitations that may have affected the results. First, this was a retrospective study which may have introduced bias into our results. Second, the sample size was small and the number of adenocarcinoma versus squamous cell carcinoma cases was disproportionate. Third, we focused on adenocarcinoma and squamous cell carcinoma and did not investigate other histological subtypes. Fourth, other clinicopathological information such as TNM staging were missing so we were not able to identify the prognostic value of VEGF-A, CD31 or GRP78. Conclusions In conclusion, we found that adenocarcinomas have higher expression of VEGF-A, CD31 and GRP78 as compared with squamous cell carcinomas. Up to our knowledge, our findings are the first to identify a positive correlation between VEGF-A and CD31 in lung cancer suggesting that VEGF-A may cooperate with CD31 to promote angiogenesis in NSCLC. Our study was the first to investigate the associations between GRP78 and the angiogenesis markers CD31 and VEGF-A in NSCLC patients. High GRP78 expression was revealed in the majority of the investigated samples. Nevertheless, no relationship was found between GRP78 and VEGF-A or CD31 which could be attributed to small sample size. Abbreviations Non-small cell lung cancer (NSCLC); 78-kDa glucose regulated protein (GRP78); Vascular endothelial growth factor type A (VEGF-A); platelet endothelial cell adhesion molecule-1 (PECAM-1); microvessel density (MVD); immunohistochemistry (IHC). Declarations Ethics approval and informed consent This study was approved by the Institutional Review Board at Jordan University of Science and Technology. Informed consent was not required for the study due to the anonymity of the data used. Consent for publication Not applicable Availability of data and materials The datasets used and analysed during the current study are available from the corresponding author on reasonable request. Competing interests There are no conflicts of interest to declare. Funding This research was funded by the Deanship of Scientific Research at Jordan University of Science and Technology with research grant number [20150324]. Authors' contributions M.S. A conceived of the presented idea and developed the theory, M. A. A., M. M. A. and H. W. A. performed the pathological analysis of the tumor tissues. B. A. A. collected the patients’ information. M. S. A. and B. A. A. performed the statistical analysis of the data and wrote the manuscript. All authors contributed in manuscript revision. Disclosure The abstract of this paper was only published online in an American Society of Clinical Oncology (ASCO) journal. The abstract was published in the Journal of Clinical Oncology with DOI: 10.1200/JCO.2019.37.15_suppl.e20500 References (1) Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019 Jan;69(1):7-34. (2) Molina JR, Yang P, Cassivi SD, Schild SE, Adjei AA. Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. Mayo Clin Proc 2008 May;83(5):584-594. (3) Wangari-Talbot J, Hopper-Borge E. Drug Resistance Mechanisms in Non-Small Cell Lung Carcinoma. J Can Res Updates 2013 Oct 31;2(4):265-282. (4) Gower A, Wang Y, Giaccone G. Oncogenic drivers, targeted therapies, and acquired resistance in non-small-cell lung cancer. J Mol Med (Berl) 2014 Jul;92(7):697-707. (5) Zhan P, Wang J, Lv XJ, Wang Q, Qiu LX, Lin XQ, et al. Prognostic value of vascular endothelial growth factor expression in patients with lung cancer: a systematic review with meta-analysis. J Thorac Oncol 2009 Sep;4(9):1094-1103. (6) Kim MS, Park TI, Lee YM, Jo YM, Kim S. Expression of Id-1 and VEGF in non-small cell lung cancer. Int J Clin Exp Pathol 2013 Sep 15;6(10):2102-2111. (7) Ferrara N, Hillan KJ, GerberFAU - Novotny ,William, Novotny W. Discovery and development of bevacizumab, an anti-VEGF antibody for treating cancer. Nat Rev Drug Discov 2004 May;3(5):391-400. (8) Mineo TC, Ambrogi V, Baldi A, Rabitti C, Bollero P, Vincenzi B, et al. Prognostic impact of VEGF, CD31, CD34, and CD105 expression and tumour vessel invasion after radical surgery for IB-IIA non-small cell lung cancer. J Clin Pathol 2004 Jun;57(6):591-597. (9) Zhang YY, Kong LQ, Zhu XD, Cai H, Wang CH, Shi WK, et al. CD31 regulates metastasis by inducing epithelial-mesenchymal transition in hepatocellular carcinoma via the ITGB1-FAK-Akt signaling pathway. Cancer Lett 2018 Aug 10;429:29-40. (10) Sandler A, Gray R, Perry MC, Brahmer J, Schiller JH, Dowlati A, et al. Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med 2006 Dec 14;355(24):2542-2550. (11) Alshangiti A, Chandhoke G, Ellis PM. Antiangiogenic therapies in non-small-cell lung cancer. Curr Oncol 2018 Jun;25(Suppl 1):S45-S58. (12) Dong D, Ni M, Li J, Xiong S, Ye W, Virrey JJ, et al. Critical role of the stress chaperone GRP78/BiP in tumor proliferation, survival, and tumor angiogenesis in transgene-induced mammary tumor development. Cancer Res 2008 Jan 15;68(2):498-505. (13) Ghosh R, Lipson KL, Sargent KE, Mercurio AM, Hunt JS, Ron D, et al. Transcriptional regulation of VEGF-A by the unfolded protein response pathway. PLoS One 2010 Mar 8;5(3):e9575. (14) Li Z, Li Z. Glucose regulated protein 78: a critical link between tumor microenvironment and cancer hallmarks. Biochim Biophys Acta 2012 Aug;1826(1):13-22. (15) Cebe-Suarez S, Zehnder-Fjallman A, Ballmer-Hofer K. The role of VEGF receptors in angiogenesis; complex partnerships. Cell Mol Life Sci 2006 Mar;63(5):601-615. (16) Niu G, Chen X. Vascular endothelial growth factor as an anti-angiogenic target for cancer therapy. Curr Drug Targets 2010 Aug;11(8):1000-1017. (17) Srabovic N, Mujagic Z, Mujanovic-Mustedanagic J, Softic A, Muminovic Z, Rifatbegovic A, et al. Vascular endothelial growth factor receptor-1 expression in breast cancer and its correlation to vascular endothelial growth factor a. Int J Breast Cancer 2013;2013:746749. (18) Tang RF, Wang SX, Peng L, Wang SX, Zhang M, Li ZF, et al. Expression of vascular endothelial growth factors A and C in human pancreatic cancer. World J Gastroenterol 2006 Jan 14;12(2):280-286. (19) Yu L, Deng L, Li J, Zhang Y, Hu L. The prognostic value of vascular endothelial growth factor in ovarian cancer: a systematic review and meta-analysis. Gynecol Oncol 2013 Feb;128(2):391-396. (20) Zygon J, Szajewski M, Kruszewski WJ, Rzepko R. VEGF, Flt-1, and microvessel density in primary tumors as predictive factors of colorectal cancer prognosis. Mol Clin Oncol 2017 Feb;6(2):243-248. (21) Rajesh L, Joshi K, Bhalla V, Dey P, Radotra BD, Nijhawan R. Correlation between VEGF expression and angiogenesis in breast carcinoma. Anal Quant Cytol Histol 2004 Apr;26(2):105-108. (22) Kukreja I, Kapoor P, Deshmukh R, Kulkarni V. VEGF and CD 34: A correlation between tumor angiogenesis and microvessel density-an immunohistochemical study. J Oral Maxillofac Pathol 2013 Sep;17(3):367-373. (23) Hutajulu SH, Paramita DK, Santoso J, Sani MIA, Amalia A, Wulandari G, et al. Correlation between vascular endothelial growth factor-A expression and tumor location and invasion in patients with colorectal cancer. J Gastrointest Oncol 2018 Dec;9(6):1099-1108. (24) Dong D, Stapleton C, Luo B, Xiong S, Ye W, Zhang Y, et al. A critical role for GRP78/BiP in the tumor microenvironment for neovascularization during tumor growth and metastasis. Cancer Res 2011 Apr 15;71(8):2848-2857. (25) Binet F, Sapieha P. ER Stress and Angiogenesis. Cell Metab 2015 Oct 6;22(4):560-575. (26) Vandewynckel YP, Laukens D, Geerts A, Bogaerts E, Paridaens A, Verhelst X, et al. The paradox of the unfolded protein response in cancer. Anticancer Res 2013 Nov;33(11):4683-4694. (27) Wang M, Wey S, Zhang Y, Ye R, Lee AS. Role of the unfolded protein response regulator GRP78/BiP in development, cancer, and neurological disorders. Antioxid Redox Signal 2009 Sep;11(9):2307-2316. (28) Zhang J, Jiang Y, Jia Z, Li Q, Gong W, Wang L, et al. Association of elevated GRP78 expression with increased lymph node metastasis and poor prognosis in patients with gastric cancer. Clin Exp Metastasis 2006;23(7-8):401-410. (29) Zheng HC, Takahashi H, Li XH, Hara T, Masuda S, Guan YF, et al. Overexpression of GRP78 and GRP94 are markers for aggressive behavior and poor prognosis in gastric carcinomas. Hum Pathol 2008 Jul;39(7):1042-1049. (30) Lee HY, Jung JH, Cho HM, Kim SH, Lee KM, Kim HJ, et al. GRP78 Protein Expression as Prognostic Values in Neoadjuvant Chemoradiotherapy and Laparoscopic Surgery for Locally Advanced Rectal Cancer. Cancer Res Treat 2015 Oct;47(4):804-812. (31) Niu Z, Wang M, Zhou L, Yao L, Liao Q, Zhao Y. Elevated GRP78 expression is associated with poor prognosis in patients with pancreatic cancer. Sci Rep 2015 Nov 4;5:16067. (32) Yuan A, Yang PC, Yu CJ, Lee YC, Yao YT, Chen CL, et al. Tumor angiogenesis correlates with histologic type and metastasis in non-small-cell lung cancer. Am J Respir Crit Care Med 1995 Dec;152(6 Pt 1):2157-2162. (33) Imoto H, Osaki T, Taga S, Ohgami A, Ichiyoshi Y, Yasumoto K. Vascular endothelial growth factor expression in non-small-cell lung cancer: prognostic significance in squamous cell carcinoma. J Thorac Cardiovasc Surg 1998 May;115(5):1007-1014. (34) Bonnesen B, Pappot H, Holmstav J, Skov BG. Vascular endothelial growth factor A and vascular endothelial growth factor receptor 2 expression in non-small cell lung cancer patients: relation to prognosis. Lung Cancer 2009 Dec;66(3):314-318. (35) Usuda K, Iwai S, Funasaki A, Sekimura A, Motono N, Ueda Y, et al. Expression and Prognostic Impact of VEGF, CD31 and alphaSMA in Resected Primary Lung Cancers. Anticancer Res 2018 Jul;38(7):4057-4063. (36) Bacic I, Karlo R, Zadro AS, Zadro Z, Skitarelic N, Antabak A. Tumor angiogenesis as an important prognostic factor in advanced non-small cell lung cancer (Stage IIIA). Oncol Lett 2018 Feb;15(2):2335-2339. (37) Emmert A, Didilis V.N, Bohler A, Markus J, Füzesi L., Waldmann-Beushausen R, Bougioukas I, Schöndube F. A., Danner B.C. Prognostic significance of influence of CD-31 and PDEF expression in patients with non-small-lung cancer. Thorac Cardiovasc Surg 2014; 62-OP9. (38) Emmert A and Bohnenberger H. Prognostic Significance of CD31 Expression in Patients with Non-Small-Cell-Lung Cancer. Advances in Lung Cancer 2016; 5(3). (39) Kwon D, Koh J, Kim S, Go H, Min HS, Kim YA, et al. Overexpression of endoplasmic reticulum stress-related proteins, XBP1s and GRP78, predicts poor prognosis in pulmonary adenocarcinoma. Lung Cancer 2018 Aug;122:131-137. (40) Imai H, Kaira K, Yazawa T, et al. Endoplasmic reticulum stress sensor GRP78/BiP expression in lung adenocarcinoma: correlations and prognostic significance. Int J Clin Exp Pathol 2017;10(3):3315-3326. (41) Uramoto H, Sugio K, Oyama T, Nakata S, Ono K, Yoshimastu T, et al. Expression of endoplasmic reticulum molecular chaperone Grp78 in human lung cancer and its clinical significance. Lung Cancer 2005 Jul;49(1):55-62. (42) Wang Q, He Z, Zhang J, Wang Y, Wang T, Tong S, et al. Overexpression of endoplasmic reticulum molecular chaperone GRP94 and GRP78 in human lung cancer tissues and its significance. Cancer Detect Prev 2005;29(6):544-551. (43) Sun Q, Hua J, Wang Q, Xu W, Zhang J, Zhang J, et al. Expressions of GRP78 and Bax associate with differentiation, metastasis, and apoptosis in non-small cell lung cancer. Mol Biol Rep 2012 Jun;39(6):6753-6761. (44) Wu HM, Jiang ZF, Fan XY, Wang T, Ke-Xu, Yan XB, et al. Reversed expression of GRIM-1 and GRP78 in human non-small cell lung cancer. Hum Pathol 2014 Sep;45(9):1936-1943. (45) El-Gohary YM, Silverman JF, Olson PR, Liu YL, Cohen JK, Miller R, et al. Endoglin (CD105) and vascular endothelial growth factor as prognostic markers in prostatic adenocarcinoma. Am J Clin Pathol 2007 Apr;127(4):572-579. (46) Poncelet C, Fauvet R, Feldmann G, Walker F, Madelenat P, Darai E. Prognostic value of von Willebrand factor, CD34, CD31, and vascular endothelial growth factor expression in women with uterine leiomyosarcomas. J Surg Oncol 2004 May 1;86(2):84-90. (47) Biswas S, Charlesworth PJ, Turner GD, Leek R, Thamboo PT, Campo L, et al. CD31 angiogenesis and combined expression of HIF-1alpha and HIF-2alpha are prognostic in primary clear-cell renal cell carcinoma (CC-RCC), but HIFalpha transcriptional products are not: implications for antiangiogenic trials and HIFalpha biomarker studies in primary CC-RCC. Carcinogenesis 2012 Sep;33(9):1717-1725. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 09 Dec, 2020 Editor assigned by journal 21 Nov, 2020 Submission checks completed at journal 21 Nov, 2020 Editor invited by journal 21 Nov, 2020 First submitted to journal 28 Oct, 2020 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-115874","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research article","associatedPublications":[],"authors":[{"id":5332393,"identity":"18f2f868-f596-42f5-9bbb-7506955439ce","order_by":0,"name":"Maha Alkeilani","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA80lEQVRIie2Rv4oCMRCH5xB2m7B1gnD3BEIWwUbxWSYspDwEG8FCq1heq5Wv4CMEhN1GsF27veZq7WLn+BerrKVw+SAkhPngNzMAgcBbEgHggK54itcPCyDrFSqJmCUFX1UuJfxcflO8tH5yVVWy/52I6k8cHXwmJcJg71E6pV5LlNkwaqJuMoS2ICWde5XYcJQNZc4KBVMrUtrMp2yLmUM5UUZYLRzCpF6xOqeJrZXhoDkFQ1mrlDqjYIUyDLMu0zxdbH6n/l62eXpwo7FazjZq53q9r6TIcumb2BOUirZD58PUrPJBbO+vRvWiEggEAv+DExAVTOFPHZ+4AAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0001-9857-4966","institution":"JUST: Jordan University of Science and Technology","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Maha","middleName":"","lastName":"Alkeilani","suffix":""},{"id":5332394,"identity":"b50e02b0-b9c4-49a3-80c5-52d28f4bdda4","order_by":1,"name":"Mohammad A. Alqudah","email":"","orcid":"","institution":"Jordan University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohammad","middleName":"A.","lastName":"Alqudah","suffix":""},{"id":5332395,"identity":"78ff7ecd-a276-4253-8cd4-c794ae1b9f16","order_by":2,"name":"Basima A. Almomani","email":"","orcid":"","institution":"Jordan University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Basima","middleName":"A.","lastName":"Almomani","suffix":""},{"id":5332396,"identity":"3fb24c1a-2950-43d4-83c1-f27995a17ca6","order_by":3,"name":"Moath M. Alrjoub","email":"","orcid":"","institution":"Jordan University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Moath","middleName":"M.","lastName":"Alrjoub","suffix":""},{"id":5332397,"identity":"c8ac1cc0-d73d-430d-b9d8-6af3c4a8d1e2","order_by":4,"name":"Hiba W. Alzoubi","email":"","orcid":"","institution":"Jordan University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hiba","middleName":"W.","lastName":"Alzoubi","suffix":""},{"id":5332398,"identity":"bcf58d16-6d2d-4232-bbbd-95d6acbf120d","order_by":5,"name":"Batool A. Shhabat","email":"","orcid":"","institution":"Jordan University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Batool","middleName":"A.","lastName":"Shhabat","suffix":""}],"badges":[],"createdAt":"2020-11-25 14:04:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-115874/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-115874/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":3930471,"identity":"66526b99-81f8-4bce-aea6-c87e954d5a03","added_by":"auto","created_at":"2020-12-01 18:53:38","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":188605,"visible":true,"origin":"","legend":"Immunohistochemical staining results of VEGF-A expression in lung tumor cells. Negative, low and high VEGF-A immunoreactivity was present in the cytoplasm of cancer cells. Adenocarcinoma tissues had three categories; negative expression (TS = 0), low expression (TS ≤ 6), and high expression (TS ≥ 7) (a-c, respectively) and squamous cell carcinoma had two categories (negative and low) (d \u0026 e, respectively).\n","description":"","filename":"Figure1.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/19d7c64f9f78ae05b8ca68c7.JPG"},{"id":3930466,"identity":"c03b7637-064f-4bc4-86a2-74d249b3f750","added_by":"auto","created_at":"2020-12-01 18:53:32","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":188605,"visible":true,"origin":"","legend":"Immunohistochemical staining results of VEGF-A expression in lung tumor cells. Negative, low and high VEGF-A immunoreactivity was present in the cytoplasm of cancer cells. Adenocarcinoma tissues had three categories; negative expression (TS = 0), low expression (TS ≤ 6), and high expression (TS ≥ 7) (a-c, respectively) and squamous cell carcinoma had two categories (negative and low) (d \u0026 e, respectively).\n","description":"","filename":"Figure1.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/b12675183666f420a8289867.JPG"},{"id":3930472,"identity":"623f79c8-0da9-468e-a14a-1661da043e3c","added_by":"auto","created_at":"2020-12-01 18:53:38","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":117796,"visible":true,"origin":"","legend":"Immunohistochemical staining results of CD31 expression in lung tumor cells. Low and high CD31 immunoreactivity was present on the membrane of the endothelial cells. Adenocarcinoma and squamous cell carcinoma tissues had two categories; low (a \u0026 c, respectively) and high expression (b \u0026 d, respectively)\n","description":"","filename":"Figure2.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/563632799307e5dba2216857.JPG"},{"id":3930467,"identity":"786633b8-fab7-4466-b5e0-f9ce24edbe50","added_by":"auto","created_at":"2020-12-01 18:53:32","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":117796,"visible":true,"origin":"","legend":"Immunohistochemical staining results of CD31 expression in lung tumor cells. Low and high CD31 immunoreactivity was present on the membrane of the endothelial cells. Adenocarcinoma and squamous cell carcinoma tissues had two categories; low (a \u0026 c, respectively) and high expression (b \u0026 d, respectively)\n","description":"","filename":"Figure2.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/be1014ea89ed0fc4553c0c66.JPG"},{"id":3930473,"identity":"ca832fdd-8adb-41d4-ab5b-14d28a798986","added_by":"auto","created_at":"2020-12-01 18:53:39","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":275356,"visible":true,"origin":"","legend":"Immunohistochemical staining results of GRP78 expression in lung tumor cells. Negative, low and high GRP78 immunoreactivity was present in the cytoplasm of cancer cells. Adenocarcinoma tissues had three categories; negative expression (TS = 0), low expression (TS ≤ 6), and high expression (TS ≥ 7) (a-c, respectively) and squamous cell carcinoma had three categories (negative, low and high) (d-f, respectively).\n","description":"","filename":"Figure3.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/b00eb67842c8f819ae62417d.JPG"},{"id":3930468,"identity":"4869a72e-f6bb-4b74-b294-19a728102848","added_by":"auto","created_at":"2020-12-01 18:53:33","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":275356,"visible":true,"origin":"","legend":"Immunohistochemical staining results of GRP78 expression in lung tumor cells. Negative, low and high GRP78 immunoreactivity was present in the cytoplasm of cancer cells. Adenocarcinoma tissues had three categories; negative expression (TS = 0), low expression (TS ≤ 6), and high expression (TS ≥ 7) (a-c, respectively) and squamous cell carcinoma had three categories (negative, low and high) (d-f, respectively).\n","description":"","filename":"Figure3.JPG","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/58355ea14b87569f206f18de.JPG"},{"id":13620984,"identity":"e3b64c9c-a139-47bc-850a-9ca1f00d2d70","added_by":"auto","created_at":"2021-09-17 07:08:18","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1379289,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-115874/v1/1f8a40db-e9a9-4c56-8d76-5444e86ac910.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eExpression Profiles of VEGF-A, CD31 and GRP78 in Non-Small Cell Lung Cancer.\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eDespite the critical progress in the diagnosis and treatment, lung cancer is still the second most common cancer in both sexes accounted for about 25% of all cancer cases in 2019 [1]. Moreover, it is the most common cause of cancer-related mortality responsible for about one fourth of cancer deaths [1]. NSCLC a devastating subtype of lung cancer that represents the majority of the cases [2], is a heterogeneous disease in terms of histology and is classified into three major groups; squamous cell carcinoma, adenocarcinoma and large-cell carcinoma [3, 4].\u003c/p\u003e\n\u003cp\u003eAngiogenesis, or neovascularization, is the process of proliferation, migration, and sprouting of endothelial cells resulting in remodeling of blood vessels. This is considered a viable step in the process of carcinogenesis to provide the blood supply necessary for the growth and metastasis of solid tumors. Vascular endothelial growth factor A (VEGF-A) is one of the most important proangiogenic factors and is an angiogenesis marker that was shown to be overexpressed in NSCLC [5, 6]. It has driven the advent of bevacizumab, a humanized recombinant monoclonal antibody to VEGF-A which is approved for treatment of non-squamous subtypes of lung cancer [7].\u003c/p\u003e\n\u003cp\u003eCD31, also called platelet endothelial cell adhesion molecule-1 (PECAM-1), is another angiogenesis marker and is used as a direct measure of the intratumoral microvessel density (MVD) [8]. It is a 130-kd cell membrane protein that belongs to the immunoglobulin superfamily and is expressed on endothelial cells and stimulates vascular development and migration of tumor and endothelial cells [9].\u003c/p\u003e\n\u003cp\u003eDue to the modest response to standard chemotherapy, the treatment of NSCLC has moved from only recruiting traditional anticancer agents to the use of targeted biological drugs such as antiangiogenic agents. Despite the many trials that extensively evaluated the efficacy of antiangiogenic agents, only the addition of bevacizumab to the platinum-based chemotherapy in treatment of advanced NSCLC has resulted in a moderate increase in patients\u0026rsquo; overall survival [10, 11]. This was mainly attributed to the development of resistance and the unavailability of predictive biomarkers for antiangiogenic therapy response. Thus, more focus should be directed toward better understanding of the angiogenesis pathways and their biological components.\u003c/p\u003e\n\u003cp\u003eGRP78, also referred to as binding immunoglobulin protein (BiP), is an endoplasmic reticulum stress marker. The correlation between GRP78 and angiogenesis was extensively studied \u003cem\u003ein vitro\u003c/em\u003e and \u003cem\u003ein vivo\u003c/em\u003e, and GRP78 was found to be a key regulator of tumor angiogenesis [12-14]. Knockdown of GRP78 in endothelial cells of mammary tumors in mice was associated with reduced angiogenesis in the tumor tissue and not in the normal tissues, and this was attributed to inhibiting VEGF receptor 2 and VEGF-induced angiogenesis [12-14]. However, up to our knowledge, there are no studies reporting the relationship between GRP78 and neovascularization in NSCLC. The aims of this study were to investigate the expression levels of VEGF-A, CD31 and GRP78 and test for significant correlations between them.\u003c/p\u003e"},{"header":"Methodology","content":"\u003ch2\u003ePatients and tissue samples\u003c/h2\u003e\n\u003cp\u003eThis is a retrospective analysis of a total of 94 paraffin-embedded NSCLC tissue samples (71 adenocarcinoma and 23 squamous cell carcinoma) provided by the department of pathology of King Abdulla University Hospital (KAUH) in Irbid, Jordan. The samples represented patients who underwent surgical resection between 2008 and 2015; and did not receive chemotherapy or radiotherapy prior to surgery.\u003c/p\u003e\n\u003ch2\u003eImmunohistochemical (IHC) staining\u003c/h2\u003e\n\u003cp\u003eIHC staining was performed using the Dual Link System HRP Kit, K8000 (Dako, Glostrub, Denmark) according to the manufacturer\u0026rsquo;s instructions. Briefly 4 \u0026mu;m sections of paraffin-embedded NSCLC tissues were performed to analyze the expression of GRP78, VEGF-A, and CD31 proteins. The sections were deparaffinized and dehydrated with xylene and graded ethanol (100%, 95%, 70%, 50%, and 30%) then rehydrated with distilled water. Antigen retrieval was performed in a PT-link Instrument (Dako Glostrup, Denmark) using high pH citrate buffer for 20 minutes. Endogenous peroxidases activity were blocked by incubation with 2.5% hydrogen peroxide for 10 minutes. Slides were then washed with phosphate buffer saline twice. Next, the slides were incubated for 45 minutes at room temperature with the primary antibodies against GRP78, 1:200; VEGF-A, 1:200; and CD31, 1:100 (ab21685, ab46154, ab28364 respectively; rabbit anti-human polyclonal immunoglobulins; Abcam Biotech Company, Cambridge, UK).\u003c/p\u003e\n\u003cp\u003eSlides were then washed twice with PBS and then signal visualization was carried out using the Envision Dual Link System HRP Kit , K8000 ( Dako, Glostrup, Denmark). Slides were then washed with distilled water and finally counterstained with Mayer\u0026rsquo;s hematoxylin.\u003c/p\u003e\n\u003ch2\u003eStaining evaluation\u003c/h2\u003e\n\u003cp\u003eThe stained sections were reviewed by two experienced pathologists who did not have access to the clinical data of patient cohorts, and then reevaluated by another independent pathologist.\u003c/p\u003e\n\u003ch3\u003e\u003cstrong\u003eGRP78 and VEGF expression score\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003eImmunoreactivity of GRP78 and VEGF-A was evaluated in a semiquantitative fashion where we considered both the intensity of staining and the proportion of cells stained. The intensity scores (IS) were; 0, no staining; 1, weak staining; 2, moderate staining; and 3, strong staining. The proportion of cells stained ranged from 1%-100%, then proportion scores (PS) were given as follows: 0 for staining \u0026lt;5%; 1 for staining 5%-25%; 2for staining 26%-50%; 3for staining 51%-80%, and 4 for staining \u0026gt;80%. Then a total score (TS) was calculated by multiplying the IS and the PS with a range from 0-12. For statistical analysis, we divided the patients into three groups, samples with a TS of 0 were considered negative, a TS of \u0026ge;7 were considered high, while those with a TS of \u0026le;6 were considered low.\u003c/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCD31 expression score\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003eCD31 was scored as a percentage of CD31 positive vessels in the tumor field with the highest vessel density as; high (high vessel tumors), vessels are 50% or more of tumor surface area; low (low vessel tumors), vessels are less than 50% of tumor surface area\u003c/p\u003e\n\u003ch2\u003eStatistical analysis\u003c/h2\u003e\n\u003cp\u003ePatients' data were presented as mean \u0026plusmn; standard deviation (continuous variables) or as numbers and percentages (categorical variables). The predictors for GRP78 expression level (CD31, VEGF-A expression, age, gender and histological type) were examined using Student t-test, Chi-square (\u0026chi;\u003csup\u003e2\u003c/sup\u003e) test or Fisher\u0026rsquo;s exact test as appropriate. All tests were two-sided and statistical significance was considered as p\u0026lt;0.05. All analyses was carried out using the Statistical Package for Social Sciences (SPSS) version 19.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThis study was performed on 94 retrospective cases of NSCLC received at the pathology department of King Abdulla University Hospital from 2008 to 2015.\u003c/p\u003e\n\u003ch2\u003eClinical characteristics\u003c/h2\u003e\n\u003cp\u003eThe mean age of patients was 63.15 years old (SD \u0026plusmn; 11.88) and 73.4% of them were males (n=69). Approximately, three quarters of the patients had adenocarcinoma (n=71, 75.5%) compared to about a quarter of them who had squamous cell carcinoma (n=23, 24.5%).\u003c/p\u003e\n\u003ch2\u003ePathology results\u003c/h2\u003e\n\u003cp\u003eVEGF-A was expressed in the cytoplasm of the cancer cells as shown in (\u003cstrong\u003eFigure 1\u003c/strong\u003e). 80 cases (85.1%) demonstrated positively stained tumor cells, of which only 15 cases (18.8%) had high VEGF-A level (\u003cstrong\u003eTable 1\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1. VEGF immunoreactivity in human NSCLC.\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eImmunonegative, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"312\"\u003e\n\u003cp\u003eImmunopositive cases, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eHistological subtype\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eAdenocarcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e5 (7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e51 (71.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e15 (21.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eSquamous cell carcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e9 (39.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e14 (60.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\" width=\"623\"\u003e\n\u003cp\u003ep-value \u0026lt;0.001, adenocarcinoma versus squamous cell carcinoma (\u0026chi;\u0026sup2;-test)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eRegarding CD31 expression, the protein was expressed on the membrane of the endothelial cells (\u003cstrong\u003eFigure 2\u003c/strong\u003e), and 36 specimens expressed high levels of the protein (\u003cstrong\u003eTable 2\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. CD31 immunoreactivity in human NSCLC\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"208\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"416\"\u003e\n\u003cp\u003eImmunopositive cases, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003eHistological subtype\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003eAdenocarcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003e37 (52.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003e34 (47.9)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003eSquamous cell carcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003e21 (91.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"208\"\u003e\n\u003cp\u003e2 (8.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" width=\"624\"\u003e\n\u003cp\u003ep-value = 0.001, adenocarcinoma versus squamous cell carcinoma (\u0026chi;\u0026sup2;-test)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e82 specimens (87.2%) demonstrated GRP78-positively stained tumor cells, the remaining 12 samples revealed negative staining. Staining was cytoplasmic (\u003cstrong\u003eFigure 3\u003c/strong\u003e) and of the positively stained samples, 74 cases exhibited high GRP78 expression and 20 cases exhibited weak expression (\u003cstrong\u003eTable 3\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. GRP78 immunoreactivity in human NSCLC\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eImmunonegative, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"312\"\u003e\n\u003cp\u003eImmunopositive cases, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eHistological subtype\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eAdenocarcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e6 (8.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e5 (7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e60 (84.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003eSquamous cell carcinoma\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e6 (26.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e3 (13.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e14 (60.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" width=\"468\"\u003e\n\u003cp\u003ep-value = 0.045, adenocarcinoma versus squamous cell carcinoma (\u0026chi;\u0026sup2;-test)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"156\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2\u003eExpression of VEGF-A, CD31 and GRP78 is associated with tumor histological subtype\u003c/h2\u003e\n\u003cp\u003eStatistically significant associations were found between histological subtype and the expression levels of VEGF-A, CD31 and GRP78.\u003c/p\u003e\n\u003cp\u003eVEGF-A was positively expressed in 66 cases (93%) of the adenocarcinoma and 14 cases (60.9%) of the squamous cell carcinoma. The frequency of VEGF-A immunopositivity with high expression was significantly greater in the adenocarcinoma subtype than the squamous cell carcinoma (p-value \u0026lt; 0.001, \u003cstrong\u003eTable 1\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003eCD31 high expression was observed in 34 cases (47.9%) of the adenocarcinoma and only 2 cases (8.7%) of the squamous cell carcinoma. The frequency of CD31 high expression was significantly higher in the adenocarcinoma compared to squamous cell carcinoma (p-value = 0.001, \u003cstrong\u003eTable 2\u003c/strong\u003e). GRP78 immunopositive expression was observed in 65 cases (91.5%) of adenocarcinoma and 17 cases (73.9%) of squamous cell carcinoma. The frequency of highly positive GRP78 expression was significantly greater in the adenocarcinoma compared to the squamous cell carcinoma tissues (p-value = 0.045, \u003cstrong\u003eTable 3\u003c/strong\u003e).\u003c/p\u003e\n\u003ch2\u003eVEGF expression is associated with CD31 expression\u003c/h2\u003e\n\u003cp\u003eA statistically significant association between VEGF-A and CD31 was observed. 60.4% of low-CD31 expressions show low VEGF-A expressions and 16.7% of the high-CD31 expressions exhibited high VEGF-A expressions (p-value = 0.006, \u003cstrong\u003eTable 4\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Association between VEGF and CD31\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"2\" width=\"203\"\u003e\n\u003cp\u003eCD31, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"59\"\u003e\n\u003cp\u003ep-value\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eVEGF\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"128\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"59\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eNegative\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"128\"\u003e\n\u003cp\u003e14 (24.1)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"59\"\u003e\n\u003cp\u003e\u003cstrong\u003e0.006\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"128\"\u003e\n\u003cp\u003e35 (60.4)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e30 (83.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"59\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"128\"\u003e\n\u003cp\u003e9 (15.5)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e6 (16.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"59\"\u003e\u0026nbsp;\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2\u003eGRP78 expression is not associated with VEGF-A or CD31 expression\u003c/h2\u003e\n\u003cp\u003eAs shown in \u003cstrong\u003eTable 5\u003c/strong\u003e, there were no significant associations between GRP78 expression and VEGF-A or CD31 expressions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5. Association between GRP78 and VEGF\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd colspan=\"3\" width=\"213\"\u003e\n\u003cp\u003eGRP78, n (%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003ep-value\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eVEGF\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003eNegative\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eNegative\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e2 (16.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e12 (16.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e0.419\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e8 (66.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e8 (100)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e49 (66.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e2 (16.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e13 (17.6)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eCD31\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eLow\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e8 (66.7)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e4 (50)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e46 (62.2)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e0.743\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"67\"\u003e\n\u003cp\u003eHigh\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e4 (33.3)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e4 (50)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"75\"\u003e\n\u003cp\u003e28 (37.8)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"64\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Discussion","content":"\u003cp\u003eIt is well known that angiogenesis is mandatory for tumor growth and progression which prompted the innovation of antiangiogenic therapies. Nevertheless, their usefulness in the treatment of NSCLC is limited by the occurrence of resistance and the unavailability of reliable predictive biomarkers. This highlights the urgent need for the identification of novel biomarkers that aid in the selection of the appropriate antiangiogenic agent to achieve the best therapeutic outcomes in patients with NSCLC. Furthermore, these biomarkers may represent new therapeutic target for new improved antiangiogenic agents.\u003c/p\u003e\n\u003cp\u003eVEGF-A, a proangiogenic growth factor, was first reported as a vascular permeability factor then as an endothelial-specific mitogen responsible for the induction of angiogenesis via promoting endothelial cell migration, proliferation, differentiation and survival [15, 16]. It was overexpressed in several types of cancers such as breast cancer [17], pancreatic cancer [18], and NSCLC [5, 6], among others [19, 20]. However, a positive correlation between VEGF-A and MVD could not be proved in many studies [21-23]. Thus indicating that other molecular factors play a role in the angiogenesis process.\u003c/p\u003e\n\u003cp\u003eGRP78, a key regulator of the endoplasmic reticulum, promotes cancer cell proliferation, invasion and migration and different studies revealed its proangiogenic role in cancer [24-26]. One study revealed that the expression of GRP78 is necessary for the angiogenesis required for the progression of the tumor xenograft [27]. Moreover, GRP78 was overexpressed in many types of tumors and it was related to a more aggressive behavior and poor prognosis [28-31]. Our data demonstrate that GRP78 was highly expressed in about 79% of the NSCLC cases.\u003c/p\u003e\n\u003cp\u003eOur statistical analysis showed higher staining scores of VEGF-A, CD31 and GRP78 in adenocarcinoma compared with squamous cell carcinoma (p-value \u0026lt; 0.001, p-value = 0.001, and p-value = 0.045, respectively). The positive correlation between VEGF-A expression and adenocarcinoma was previously revealed in many studies [32-35]. On the other hand, other researchers could not come out with the same conclusion neither for CD31 [8, 35-38].\u003c/p\u003e\n\u003cp\u003eControversy exists in literature regarding the association between GRP78 expression and histological type of NSCLC. In parallel with our result, a study by Kwon, et al also reported higher expression of GRP78 in adenocarcinoma than squamous cell carcinoma [39]. However, an opposite finding was shown by Imai et al [40]. Nevertheless, no association was revealed by other studies [41-44].\u003c/p\u003e\n\u003cp\u003eInterestingly, we found a significant association between VEGF-A and CD31 (p = 0.006). This result is in keeping with that reported by El-Gohary et al. in prostatic adenocarcinoma tissues [45]. However, several other studies on different types of cancer showed no association between the two proteins [8, 35, 46, 47]. Our result indicates a possible contribution of VEGF-A in microvessel formation, but further studies with larger sample size are required to determine the type of the relationship between VEGF-A and CD31 in NSCLC in order to have a clearer insight into the related angiogenesis pathway.\u003c/p\u003e\n\u003cp\u003eIn the current study, there were few limitations that may have affected the results. First, this was a retrospective study which may have introduced bias into our results. Second, the sample size was small and the number of adenocarcinoma versus squamous cell carcinoma cases was disproportionate. Third, we focused on adenocarcinoma and squamous cell carcinoma and did not investigate other histological subtypes. Fourth, other clinicopathological information such as TNM staging were missing so we were not able to identify the prognostic value of VEGF-A, CD31 or GRP78.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn conclusion, we found that adenocarcinomas have higher expression of VEGF-A, CD31 and GRP78 as compared with squamous cell carcinomas. Up to our knowledge, our findings are the first to identify a positive correlation between VEGF-A and CD31 in lung cancer suggesting that VEGF-A may cooperate with CD31 to promote angiogenesis in NSCLC.\u003c/p\u003e\n\u003cp\u003eOur study was the first to investigate the associations between GRP78 and the angiogenesis markers CD31 and VEGF-A in NSCLC patients. High GRP78 expression was revealed in the majority of the investigated samples. Nevertheless, no relationship was found between GRP78 and VEGF-A or CD31 which could be attributed to small sample size.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eNon-small cell lung cancer (NSCLC); 78-kDa glucose regulated protein (GRP78); Vascular endothelial growth factor type A (VEGF-A); platelet endothelial cell adhesion molecule-1 (PECAM-1); microvessel density (MVD); immunohistochemistry (IHC).\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eEthics approval and informed consent\u003c/h2\u003e\n\u003cp\u003eThis study was approved by the Institutional Review Board at Jordan University of Science and Technology. Informed consent was not required for the study due to the anonymity of the data used.\u003c/p\u003e\n\u003ch2\u003eConsent for publication\u003c/h2\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003ch2\u003eAvailability of data and materials\u003c/h2\u003e\n\u003cp\u003eThe datasets used and analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003ch2\u003eCompeting interests\u003c/h2\u003e\n\u003cp\u003eThere are no conflicts of interest to declare.\u003c/p\u003e\n\u003ch2\u003eFunding\u003c/h2\u003e\n\u003cp\u003eThis research was funded by the Deanship of Scientific Research at Jordan University of Science and Technology with research grant number [20150324].\u003c/p\u003e\n\u003ch2\u003eAuthors' contributions\u003c/h2\u003e\n\u003cp\u003eM.S. A conceived of the presented idea and developed the theory, M. A. A., M. M. A. and H. W. A. performed the pathological analysis of the tumor tissues. B. A. A. collected the patients\u0026rsquo; information. M. S. A. and B. A. A. performed the statistical analysis of the data and wrote the manuscript. All authors contributed in manuscript revision.\u003c/p\u003e\n\u003ch2\u003eDisclosure\u003c/h2\u003e\n\u003cp\u003eThe abstract of this paper was only published online in an American Society of Clinical Oncology (ASCO) journal. The abstract was published in the Journal of Clinical Oncology with DOI: 10.1200/JCO.2019.37.15_suppl.e20500\u003c/p\u003e"},{"header":"References","content":"\u003cp\u003e(1) Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019 Jan;69(1):7-34.\u003c/p\u003e\n\u003cp\u003e(2) Molina JR, Yang P, Cassivi SD, Schild SE, Adjei AA. Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. Mayo Clin Proc 2008 May;83(5):584-594.\u003c/p\u003e\n\u003cp\u003e(3) Wangari-Talbot J, Hopper-Borge E. Drug Resistance Mechanisms in Non-Small Cell Lung Carcinoma. J Can Res Updates 2013 Oct 31;2(4):265-282.\u003c/p\u003e\n\u003cp\u003e(4) Gower A, Wang Y, Giaccone G. Oncogenic drivers, targeted therapies, and acquired resistance in non-small-cell lung cancer. J Mol Med (Berl) 2014 Jul;92(7):697-707.\u003c/p\u003e\n\u003cp\u003e(5) Zhan P, Wang J, Lv XJ, Wang Q, Qiu LX, Lin XQ, et al. Prognostic value of vascular endothelial growth factor expression in patients with lung cancer: a systematic review with meta-analysis. J Thorac Oncol 2009 Sep;4(9):1094-1103.\u003c/p\u003e\n\u003cp\u003e(6) Kim MS, Park TI, Lee YM, Jo YM, Kim S. Expression of Id-1 and VEGF in non-small cell lung cancer. Int J Clin Exp Pathol 2013 Sep 15;6(10):2102-2111.\u003c/p\u003e\n\u003cp\u003e(7) Ferrara N, Hillan KJ, GerberFAU - Novotny ,William, Novotny W. Discovery and development of bevacizumab, an anti-VEGF antibody for treating cancer. Nat Rev Drug Discov 2004 May;3(5):391-400.\u003c/p\u003e\n\u003cp\u003e(8) Mineo TC, Ambrogi V, Baldi A, Rabitti C, Bollero P, Vincenzi B, et al. Prognostic impact of VEGF, CD31, CD34, and CD105 expression and tumour vessel invasion after radical surgery for IB-IIA non-small cell lung cancer. J Clin Pathol 2004 Jun;57(6):591-597.\u003c/p\u003e\n\u003cp\u003e(9) Zhang YY, Kong LQ, Zhu XD, Cai H, Wang CH, Shi WK, et al. CD31 regulates metastasis by inducing epithelial-mesenchymal transition in hepatocellular carcinoma via the ITGB1-FAK-Akt signaling pathway. Cancer Lett 2018 Aug 10;429:29-40.\u003c/p\u003e\n\u003cp\u003e(10) Sandler A, Gray R, Perry MC, Brahmer J, Schiller JH, Dowlati A, et al. Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med 2006 Dec 14;355(24):2542-2550.\u003c/p\u003e\n\u003cp\u003e(11) Alshangiti A, Chandhoke G, Ellis PM. Antiangiogenic therapies in non-small-cell lung cancer. Curr Oncol 2018 Jun;25(Suppl 1):S45-S58.\u003c/p\u003e\n\u003cp\u003e(12) Dong D, Ni M, Li J, Xiong S, Ye W, Virrey JJ, et al. Critical role of the stress chaperone GRP78/BiP in tumor proliferation, survival, and tumor angiogenesis in transgene-induced mammary tumor development. Cancer Res 2008 Jan 15;68(2):498-505.\u003c/p\u003e\n\u003cp\u003e(13) Ghosh R, Lipson KL, Sargent KE, Mercurio AM, Hunt JS, Ron D, et al. Transcriptional regulation of VEGF-A by the unfolded protein response pathway. PLoS One 2010 Mar 8;5(3):e9575.\u003c/p\u003e\n\u003cp\u003e(14) Li Z, Li Z. Glucose regulated protein 78: a critical link between tumor microenvironment and cancer hallmarks. Biochim Biophys Acta 2012 Aug;1826(1):13-22.\u003c/p\u003e\n\u003cp\u003e(15) Cebe-Suarez S, Zehnder-Fjallman A, Ballmer-Hofer K. The role of VEGF receptors in angiogenesis; complex partnerships. Cell Mol Life Sci 2006 Mar;63(5):601-615.\u003c/p\u003e\n\u003cp\u003e(16) Niu G, Chen X. Vascular endothelial growth factor as an anti-angiogenic target for cancer therapy. Curr Drug Targets 2010 Aug;11(8):1000-1017.\u003c/p\u003e\n\u003cp\u003e(17) Srabovic N, Mujagic Z, Mujanovic-Mustedanagic J, Softic A, Muminovic Z, Rifatbegovic A, et al. Vascular endothelial growth factor receptor-1 expression in breast cancer and its correlation to vascular endothelial growth factor a. Int J Breast Cancer 2013;2013:746749.\u003c/p\u003e\n\u003cp\u003e(18) Tang RF, Wang SX, Peng L, Wang SX, Zhang M, Li ZF, et al. Expression of vascular endothelial growth factors A and C in human pancreatic cancer. World J Gastroenterol 2006 Jan 14;12(2):280-286.\u003c/p\u003e\n\u003cp\u003e(19) Yu L, Deng L, Li J, Zhang Y, Hu L. The prognostic value of vascular endothelial growth factor in ovarian cancer: a systematic review and meta-analysis. Gynecol Oncol 2013 Feb;128(2):391-396.\u003c/p\u003e\n\u003cp\u003e(20) Zygon J, Szajewski M, Kruszewski WJ, Rzepko R. VEGF, Flt-1, and microvessel density in primary tumors as predictive factors of colorectal cancer prognosis. Mol Clin Oncol 2017 Feb;6(2):243-248.\u003c/p\u003e\n\u003cp\u003e(21) Rajesh L, Joshi K, Bhalla V, Dey P, Radotra BD, Nijhawan R. Correlation between VEGF expression and angiogenesis in breast carcinoma. Anal Quant Cytol Histol 2004 Apr;26(2):105-108.\u003c/p\u003e\n\u003cp\u003e(22) Kukreja I, Kapoor P, Deshmukh R, Kulkarni V. VEGF and CD 34: A correlation between tumor angiogenesis and microvessel density-an immunohistochemical study. J Oral Maxillofac Pathol 2013 Sep;17(3):367-373.\u003c/p\u003e\n\u003cp\u003e(23) Hutajulu SH, Paramita DK, Santoso J, Sani MIA, Amalia A, Wulandari G, et al. Correlation between vascular endothelial growth factor-A expression and tumor location and invasion in patients with colorectal cancer. J Gastrointest Oncol 2018 Dec;9(6):1099-1108.\u003c/p\u003e\n\u003cp\u003e(24) Dong D, Stapleton C, Luo B, Xiong S, Ye W, Zhang Y, et al. A critical role for GRP78/BiP in the tumor microenvironment for neovascularization during tumor growth and metastasis. Cancer Res 2011 Apr 15;71(8):2848-2857.\u003c/p\u003e\n\u003cp\u003e(25) Binet F, Sapieha P. ER Stress and Angiogenesis. Cell Metab 2015 Oct 6;22(4):560-575.\u003c/p\u003e\n\u003cp\u003e(26) Vandewynckel YP, Laukens D, Geerts A, Bogaerts E, Paridaens A, Verhelst X, et al. The paradox of the unfolded protein response in cancer. Anticancer Res 2013 Nov;33(11):4683-4694.\u003c/p\u003e\n\u003cp\u003e(27) Wang M, Wey S, Zhang Y, Ye R, Lee AS. Role of the unfolded protein response regulator GRP78/BiP in development, cancer, and neurological disorders. Antioxid Redox Signal 2009 Sep;11(9):2307-2316.\u003c/p\u003e\n\u003cp\u003e(28) Zhang J, Jiang Y, Jia Z, Li Q, Gong W, Wang L, et al. Association of elevated GRP78 expression with increased lymph node metastasis and poor prognosis in patients with gastric cancer. Clin Exp Metastasis 2006;23(7-8):401-410.\u003c/p\u003e\n\u003cp\u003e(29) Zheng HC, Takahashi H, Li XH, Hara T, Masuda S, Guan YF, et al. Overexpression of GRP78 and GRP94 are markers for aggressive behavior and poor prognosis in gastric carcinomas. Hum Pathol 2008 Jul;39(7):1042-1049.\u003c/p\u003e\n\u003cp\u003e(30) Lee HY, Jung JH, Cho HM, Kim SH, Lee KM, Kim HJ, et al. GRP78 Protein Expression as Prognostic Values in Neoadjuvant Chemoradiotherapy and Laparoscopic Surgery for Locally Advanced Rectal Cancer. Cancer Res Treat 2015 Oct;47(4):804-812.\u003c/p\u003e\n\u003cp\u003e(31) Niu Z, Wang M, Zhou L, Yao L, Liao Q, Zhao Y. Elevated GRP78 expression is associated with poor prognosis in patients with pancreatic cancer. Sci Rep 2015 Nov 4;5:16067.\u003c/p\u003e\n\u003cp\u003e(32) Yuan A, Yang PC, Yu CJ, Lee YC, Yao YT, Chen CL, et al. Tumor angiogenesis correlates with histologic type and metastasis in non-small-cell lung cancer. Am J Respir Crit Care Med 1995 Dec;152(6 Pt 1):2157-2162.\u003c/p\u003e\n\u003cp\u003e(33) Imoto H, Osaki T, Taga S, Ohgami A, Ichiyoshi Y, Yasumoto K. Vascular endothelial growth factor expression in non-small-cell lung cancer: prognostic significance in squamous cell carcinoma. J Thorac Cardiovasc Surg 1998 May;115(5):1007-1014.\u003c/p\u003e\n\u003cp\u003e(34) Bonnesen B, Pappot H, Holmstav J, Skov BG. Vascular endothelial growth factor A and vascular endothelial growth factor receptor 2 expression in non-small cell lung cancer patients: relation to prognosis. Lung Cancer 2009 Dec;66(3):314-318.\u003c/p\u003e\n\u003cp\u003e(35) Usuda K, Iwai S, Funasaki A, Sekimura A, Motono N, Ueda Y, et al. Expression and Prognostic Impact of VEGF, CD31 and alphaSMA in Resected Primary Lung Cancers. Anticancer Res 2018 Jul;38(7):4057-4063.\u003c/p\u003e\n\u003cp\u003e(36) Bacic I, Karlo R, Zadro AS, Zadro Z, Skitarelic N, Antabak A. Tumor angiogenesis as an important prognostic factor in advanced non-small cell lung cancer (Stage IIIA). Oncol Lett 2018 Feb;15(2):2335-2339.\u003c/p\u003e\n\u003cp\u003e(37) Emmert A, Didilis V.N, Bohler A, Markus J, F\u0026uuml;zesi L., Waldmann-Beushausen R, Bougioukas I, Sch\u0026ouml;ndube F. A., Danner B.C. Prognostic significance of influence of CD-31 and PDEF expression in patients with non-small-lung cancer. Thorac Cardiovasc Surg 2014; 62-OP9.\u003c/p\u003e\n\u003cp\u003e(38) Emmert A and Bohnenberger H. Prognostic Significance of CD31 Expression in Patients with Non-Small-Cell-Lung Cancer. Advances in Lung Cancer 2016; 5(3).\u003c/p\u003e\n\u003cp\u003e(39) Kwon D, Koh J, Kim S, Go H, Min HS, Kim YA, et al. Overexpression of endoplasmic reticulum stress-related proteins, XBP1s and GRP78, predicts poor prognosis in pulmonary adenocarcinoma. Lung Cancer 2018 Aug;122:131-137.\u003c/p\u003e\n\u003cp\u003e(40) Imai H, Kaira K, Yazawa T, et al. Endoplasmic reticulum stress sensor GRP78/BiP expression in lung adenocarcinoma: correlations and prognostic significance. Int J Clin Exp Pathol 2017;10(3):3315-3326.\u003c/p\u003e\n\u003cp\u003e(41) Uramoto H, Sugio K, Oyama T, Nakata S, Ono K, Yoshimastu T, et al. Expression of endoplasmic reticulum molecular chaperone Grp78 in human lung cancer and its clinical significance. Lung Cancer 2005 Jul;49(1):55-62.\u003c/p\u003e\n\u003cp\u003e(42) Wang Q, He Z, Zhang J, Wang Y, Wang T, Tong S, et al. Overexpression of endoplasmic reticulum molecular chaperone GRP94 and GRP78 in human lung cancer tissues and its significance. Cancer Detect Prev 2005;29(6):544-551.\u003c/p\u003e\n\u003cp\u003e(43) Sun Q, Hua J, Wang Q, Xu W, Zhang J, Zhang J, et al. Expressions of GRP78 and Bax associate with differentiation, metastasis, and apoptosis in non-small cell lung cancer. Mol Biol Rep 2012 Jun;39(6):6753-6761.\u003c/p\u003e\n\u003cp\u003e(44) Wu HM, Jiang ZF, Fan XY, Wang T, Ke-Xu, Yan XB, et al. Reversed expression of GRIM-1 and GRP78 in human non-small cell lung cancer. Hum Pathol 2014 Sep;45(9):1936-1943.\u003c/p\u003e\n\u003cp\u003e(45) El-Gohary YM, Silverman JF, Olson PR, Liu YL, Cohen JK, Miller R, et al. Endoglin (CD105) and vascular endothelial growth factor as prognostic markers in prostatic adenocarcinoma. Am J Clin Pathol 2007 Apr;127(4):572-579.\u003c/p\u003e\n\u003cp\u003e(46) Poncelet C, Fauvet R, Feldmann G, Walker F, Madelenat P, Darai E. Prognostic value of von Willebrand factor, CD34, CD31, and vascular endothelial growth factor expression in women with uterine leiomyosarcomas. J Surg Oncol 2004 May 1;86(2):84-90.\u003c/p\u003e\n\u003cp\u003e(47) Biswas S, Charlesworth PJ, Turner GD, Leek R, Thamboo PT, Campo L, et al. CD31 angiogenesis and combined expression of HIF-1alpha and HIF-2alpha are prognostic in primary clear-cell renal cell carcinoma (CC-RCC), but HIFalpha transcriptional products are not: implications for antiangiogenic trials and HIFalpha biomarker studies in primary CC-RCC. Carcinogenesis 2012 Sep;33(9):1717-1725.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"bmc-cancer","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bcan","sideBox":"Learn more about [BMC Cancer](http://bmccancer.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bcan/default.aspx","title":"BMC Cancer","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"NSCLC, angiogenesis, microvessel density, GRP78, CD31, VEGF-A","lastPublishedDoi":"10.21203/rs.3.rs-115874/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-115874/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBackground\u003c/p\u003e\u003cp\u003eAngiogenesis is mandatory for tumor growth and progression. The modest response to the anti-angiogenic therapies in non-small cell lung cancer reflects the presence of confounding molecular factors. The aims of this study were to investigate the expression levels of VEGF-A, CD31 and GRP78 and test for significant correlations between them.\u003c/p\u003e\u003cp\u003eMethods\u003c/p\u003e\u003cp\u003eParaffin-embedded NSCLC tissue samples (71 adenocarcinoma and 23 squamous cell carcinoma) were retrospectively collected from 94 patients who underwent surgical resection between 2008 and 2015; and did not receive chemotherapy or radiotherapy prior to surgery. The expressions of VEGF-A, CD31 and GRP78 were determined by immunohistochemistry. \u003c/p\u003e\u003cp\u003eResults\u003c/p\u003e\u003cp\u003eHigh expression levels of VEGF-A, CD31 and GRP78 were observed in 15, 36 and 74 cases, respectively. Adenocarcinomas expressed higher levels of the aforementioned proteins as compared with squamous cell carcinomas (p-value \u0026lt; 0.05). Moreover, a statistically significant association was found between VEGF-A and CD31 expression levels (p-value = 0.006).\u003c/p\u003e\u003cp\u003eConclusions\u003c/p\u003e\u003cp\u003eOur study was the first to investigate the associations between GRP78 and the angiogenesis markers CD31 and VEGF-A in NSCLC patients. High GRP78 expression was revealed in the majority of the investigated samples. Nevertheless, no relationship was found between GRP78 and VEGF-A or CD31 which could be attributed to small sample size. On the other hand, the positive association between VEGF-A and CD31 expression levels suggests that VEGF-A may cooperate with CD31 to promote angiogenesis in NSCLC.\u0026nbsp;\u003c/p\u003e","manuscriptTitle":"Expression Profiles of VEGF-A, CD31 and GRP78 in Non-Small Cell Lung Cancer.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-12-01 18:53:31","doi":"10.21203/rs.3.rs-115874/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2020-12-10T00:00:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2020-11-22T00:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2020-11-21T23:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2020-11-21T23:00:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"","date":"2020-10-29T00:00:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"bmc-cancer","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bcan","sideBox":"Learn more about [BMC Cancer](http://bmccancer.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bcan/default.aspx","title":"BMC Cancer","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a4e78cdc-d45a-4e31-b602-4caca093a0b5","owner":[],"postedDate":"December 1st, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":1237236,"name":"Cancer Biology"},{"id":1237237,"name":"Oncology"}],"tags":[],"updatedAt":"2020-12-01T18:53:31+00:00","versionOfRecord":[],"versionCreatedAt":"2020-12-01 18:53:31","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-115874","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-115874","identity":"rs-115874","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.