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Patients are stratified into high- and low-risk groups with significantly different survival, supported by time-dependent ROC performance and multivariate independence. Functional enrichment links the signature to cell proliferation–related biological 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prediction?",{"text":72,"@type":64},"Patients classified into high-risk versus low-risk groups showed significantly different overall survival, and time-dependent ROC analysis produced AUC values of 0.804, 0.792, and 0.695 for 1-, 3-, and 5-year predictions.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},330419,1790056360,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,105,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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Haibo Zhang2\\#, Xin He3, Jing Chen1, Lanyan Xi1, Yanping Chen1, Ying Zeng1^  \n1Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; 2Department of Pharmacy, Hangzhou Women’s Hospital, Hangzhou, China; 3Department of Pharmacy, The Third Hospital of Changsha, Changsha, China  \nContributions: (I) Conception and design: Y Mao, H Zhang; (II) Administrative support: Y Zeng; (III) Provision of study material or patients: X He, J Chen; (IV) Collection and assembly of data: L Xi, Y Chen; (V) Data analysis and interpretation: Y Mao, H Zhang, Y Zeng; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.  \n\\#These authors contributed equally to this work.  \nCorrespondence to: Ying Zeng, PhD. Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of  \nSouth China, 161 South Shaoshan Road, Changsha 410028, China. Email: [zengying2007@163.com](zengying2007@163.com).  \nBackground: Esophageal adenocarcinoma (EAC) is an aggressive cancer with poor prognosis. Thus, this study aimed to identify a prognostic molecular signature to predict the overall survival (OS) of patients  \nwith EAC.  \nMethods: The mRNA microarray data sets GSE13898 and GSE26886 were downloaded from the Gene Expression Omnibus (GEO) database. RNA sequencing profile and clinical data of EAC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) between EAC tissues and adjacent non-cancerous tissues were obtained using R software. DEGs associated with prognosis of OS were assessed by univariate Cox analysis, and a prognostic signature was built using stepwise multivariate Cox analysis. Time-dependent receiver operating characteristic (ROC) analysis and stratification analysis were conducted to evaluate its predictive performance. Functional enrichment analysis  \nwas performed for genes co-expressed with the signature to explore its biological functions in EAC.  \nResults: A total of 336 genes were identified to be differentially expressed between EAC tissues and adjacent non-cancerous tissues. After univariate and multivariate Cox regression analysis, four genes (ALAD, ABLIM3, IL17RB and IFI6) were screened out to construct a prognostic signature. According to this signature, patients could be assigned into high-risk and low-risk group with significantly different OS (P=4.92e−05\u003C0.0001) . Multivariate Cox regression analysis suggested that the four-gene signature served asan independent factor in OS prediction. In the time-dependent ROC analysis, the areas under the curves (AUCs) were 0.804, 0.792 and 0.695 for 1- , 3-and 5-year survival prediction, respectively, suggesting a good performance. Functional enrichment analysis showed that the signature was mainly clustered in cell  \nproliferation related biological processes or pathways.  \nConclusions: The four-gene signature identified in the current study may be a potential prognostic factor  \nfor predicting OS ofEAC patients.  \nKeywords: Esophageal adenocarcinoma (EAC); overall survival (OS); high-throughput; prognostic signature  \nSubmitted Dec 15, 2023. Accepted for publication Jan 23, 2024. Published online Mar 07, 2024.  \ndoi: 10.21037/tcr-23-1798  \nView this article at: [https://dx.doi.org/10.21037/tcr-23-1798](https://dx.doi.org/10.21037/tcr-23-1798)  \n^ ORCID: 0000-0001-7321-8869.  \n© Translational Cancer Research. All rights reserved. Transl Cancer Res 2024;13(3):1382-1393 | [https://dx.doi.org/10.21037/tcr-23-1798](https://dx.doi.org/10.21037/tcr-23-1798)  \nTranslational Cancer Research, Vol 13, No 3 March 2024 1383  \nIntroduction  \nAmong cancers, esophageal cancer ranks seventh in terms of incidence and sixth in mortality. It was estimated that there would be 604,100 new esophageal cancer cases and 544","cbCaipKPbLGFO5eg","https://ap.wps.com/l/cbCaipKPbLGFO5eg","pdf",735323,12,"English","# Background\n# Methods\n# Results\n# Conclusions\n# Introduction\n# Highlight box","[{\"question\":\"What is the main goal of the study?\",\"answer\":\"To identify a prognostic molecular signature that predicts overall survival in patients with esophageal adenocarcinoma.\"},{\"question\":\"How were the four genes selected for the signature?\",\"answer\":\"Differentially expressed genes were derived from tumor versus adjacent tissues, then prognosis-associated genes were evaluated using univariate Cox analysis and a stepwise multivariate Cox model, yielding ALAD, ABLIM3, IL17RB, and IFI6.\"},{\"question\":\"How did the signature perform in survival prediction?\",\"answer\":\"Patients classified into high-risk versus low-risk groups showed significantly different overall survival, and time-dependent ROC analysis produced AUC values of 0.804, 0.792, and 0.695 for 1-, 3-, and 5-year predictions.\"}]","A four-gene signature predicts overall survival of patients with esophageal adenocarcinoma | PDF",1789988793]