{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T06:22:36Z","timestamp":1761718956840,"version":"build-2065373602"},"reference-count":30,"publisher":"Wiley","issue":"16","license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&D Program of China","award":["2018YFC1313100","2018YFC1313102"],"award-info":[{"award-number":["2018YFC1313100","2018YFC1313102"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Cellular Molecular Medi"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Gastric cancer (GC) is a heterogeneous tumour with numerous differences of epidemiologic and clinicopathologic features between cardia cancer and non\u2010cardia cancer. However, few studies were performed to construct site\u2010specific GC prognostic models. In this study, we identified site\u2010specific GC transcriptomic prognostic biomarkers using genetic algorithm (GA)\u2010based support vector machine (GA\u2010SVM) and GA\u2010based Cox regression method (GA\u2010Cox) in the Cancer Genome Atlas (TCGA) database. The area under time\u2010dependent receive operating characteristic (ROC) curve (AUC) regarding 5\u2010year survival and concordance index (C\u2010index) was used to evaluate the predictive ability of Cox regression models. Finally, we identified 10 and 13 prognostic biomarkers for cardia cancer and non\u2010cardia cancer, respectively. Compared to traditional models, the addition of these site\u2010specific biomarkers could notably improve the model preference (cardia: AUC<jats:sub>traditional<\/jats:sub> vs AUC<jats:sub>combined<\/jats:sub>\u00a0=\u00a00.720 vs 0.899, <jats:italic>P<\/jats:italic>\u00a0=\u00a08.75E\u201008; non\u2010cardia: AUC<jats:sub>traditional<\/jats:sub> vs AUC<jats:sub>combined<\/jats:sub>\u00a0=\u00a00.798 vs 0.994, <jats:italic>P<\/jats:italic>\u00a0=\u00a07.11E\u201016). The combined nomograms exhibited superior performance in cardia and non\u2010cardia GC survival prediction (C\u2010index<jats:sub>cardia<\/jats:sub>\u00a0=\u00a00.816; C\u2010index<jats:sub>noncardia<\/jats:sub>\u00a0=\u00a00.812). We also constructed a user\u2010friendly GC site\u2010specific molecular system (GC\u2010SMS, <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/njmu-zhanglab.shinyapps.io\/gc_sms\/\">https:\/\/njmu\u2010zhanglab.shinyapps.io\/gc_sms\/<\/jats:ext-link>), which is freely available for users. In conclusion, we developed site\u2010specific GC prognostic models for predicting cardia cancer and non\u2010cardia cancer survival, providing more support for the individualized therapy of GC patients.<\/jats:p>","DOI":"10.1111\/jcmm.15618","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T09:54:35Z","timestamp":1594374875000},"page":"9457-9465","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A transcriptomic study for identifying cardia\u2010 and non\u2013cardia\u2010specific gastric cancer prognostic factors using genetic algorithm\u2010based methods"],"prefix":"10.1111","volume":"24","author":[{"given":"Junyi","family":"Xin","sequence":"first","affiliation":[{"name":"Department of Environmental Genomics Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment Collaborative Innovation Center for Cancer Personalized Medicine School of Public Health Nanjing 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