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This study investigates epithelial–mesenchymal transition (EMT)–related genes and their connection to carcinogenesis, comparing EMT biology with better-characterized cancer contexts. Using TCGA data across 1184 tumor cases, it identifies survival-associated differentially expressed genes, then applies network and enrichment analyses. In silico results reveal 32 candidate genes linked to VEGF signaling, bacterium response, JAK-STAT interactions, and immune modulation via CCL15/CCL18. The findings support prognostic EMT gene signatures and suggest survival modulators for future targeted wet-lab validation and therapeutic intervention.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/survival-and-enrichment-analysis-of-epithelialmesenchymal-transition-genes-in-bladder-urothelial-carcinoma/378369/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/survival-and-enrichment-analysis-of-epithelialmesenchymal-transition-genes-in-bladder-urothelial-carcinoma/378369.png","ImageObject",300,407,{"name":92,"@type":93},"McGucket","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-25","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What dataset and scope did the study use for EMT-related gene analysis in bladder urothelial cancer?","Question",{"text":112,"@type":113},"The study examined 1184 EMT-related gene expression levels in bladder urothelial cancer cases using the TCGA dataset.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How did the researchers connect EMT gene expression to patient survival?",{"text":117,"@type":113},"Genes that were differentially expressed in relation to survival were subjected to further network and enrichment analysis to clarify how they may shape disease outcomes.",{"name":119,"@type":110,"acceptedAnswer":120},"What biological pathways and signaling axes were associated with the key EMT gene subset?",{"text":121,"@type":113},"The subset of 32 genes was represented in pathways such as VEGF signaling and bacterium response, and the genes also interact with genes involved in the JAK-STAT signaling pathway.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},378369,1790306881,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},1236954412713,"https://us-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Article  \nSurvival and Enrichment Analysis of Epithelial–Mesenchymal Transition Genes in Bladder Urothelial Carcinoma  \nWaleed Ali 1,*, Weirui Xiao 1, Daniel Jacobs 1 and Andre Kajdacsy-Balla 2  \nCitation: Ali, W.; Xiao, W.; Jacobs, D.; Kajdacsy-Balla, A. Survival and Enrichment Analysis of Epithelial–Mesenchymal Transition Genes in Bladder Urothelial Carcinoma. Genes 2023, 14, 1899 . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)genes14101899  \nAcademic Editor: Anelia D. Horvath  \nReceived: 28 August 2023  \nRevised: 16 September 2023  \nAccepted: 26 September 2023  \nPublished: 30 September 2023  \nCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 Albert Einstein College of Medicine, New York, NY 10461, USA; [weirui.xiao@einsteinmed.edu](weirui.xiao@einsteinmed.edu) (W.X.); [daniel.jacobs2@einsteinmed.edu](daniel.jacobs2@einsteinmed.edu) (D.J.)  \n2 Professor of Pathology, University of Illinois at Chicago College of Medicine, Chicago, IL 60607, USA; [aballa@uic.edu](aballa@uic.edu)  \n* [Correspondence: waleed.ali@einsteinmed.edu](Correspondence: waleed.ali@einsteinmed.edu)  \nAbstract: The escalating prevalence of bladder cancer, particularly urothelial carcinoma, necessitates innovative approaches for prognosis and therapy. This study delves into the significance of genes related to epithelial–mesenchymal transition (EMT), a process inherently linked to carcinogenesis and comparatively better studied in other cancers. We examined 1184 EMT-related gene expression levels in bladder urothelial cancer cases through the TCGA dataset. Genes shown to be differentially expressed in relation to survival underwent further network and enrichment analysis to uncover how they might shape disease outcomes. Our in silico analysis revealed a subset of 32 genes, including those significantly represented in biological pathways such as VEGF signaling and bacterium response. In addition, these genes interact with genes involved in the JAK-STAT signaling pathway. Additionally, some of those 32 genes have been linked to immunomodulators such as chemokines CCL15 and CCL18, as well as to various immune cell infiltrates. Our findings highlight the prognostic utility of various EMT-related genes and identify possible modulators of their effect on survival, allowing for further targeted wet lab research and possible therapeutic intervention.  \nKeywords: epithelial–mesenchymal transition; bladder urothelial carcinoma; TCGA; VEGF; in silico  \n1. Introduction  \nBladder cancer is the 10th most common malignancy worldwide with 573,278 new cases and 212,536 deaths in 2020 [1] . Urothelial carcinoma accounts for over 90% of bladder cancers, which costs the U.S. alone $4 billion annually [2] . The prevalence is predicted to continue to rise due to the increasing industrialization and urbanization in developing countries, and the aging population [3,4] . Well-studied risk factors include cigarette smoking and occupational exposures especially in metal workers, painters, and chemical process workers [5,6] . Various altered genes have been implicated in amplifying the effect of these environmental exposures including carcinogen detoxification genes like UDP Glucuronosyltransferase Family 1 Member A Complex Locus ( UGT1A) and N-acetyltransferase 2 (NAT2) [7–9],fibroblast growth factor receptor 3 (FGFR 3) [10], p16, p53, retinoblastoma (RB), matrix metalloproteinases, genes involved in folate metabolism, and high activity metabolic activators like high activity P450 cytochrome enzymes [11–17] . Within the TNM staging used, T1 represents tumor invasion up to the muscular layer of the bladder, with further stages T2,3,4 representing fu","cbCaiieiPSVCnMDm","https://ap.wps.com/l/cbCaiieiPSVCnMDm","pdf",3643499,21,"English","# Introduction\n## Bladder cancer burden and risk factors\n## Treatment options and clinical management\n## EMT biology and cancer progression\n## Molecular mechanisms and metabolic changes","[{\"question\":\"What dataset and scope did the study use for EMT-related gene analysis in bladder urothelial cancer?\",\"answer\":\"The study examined 1184 EMT-related gene expression levels in bladder urothelial cancer cases using the TCGA dataset.\"},{\"question\":\"How did the researchers connect EMT gene expression to patient survival?\",\"answer\":\"Genes that were differentially expressed in relation to survival were subjected to further network and enrichment analysis to clarify how they may shape disease outcomes.\"},{\"question\":\"What biological pathways and signaling axes were associated with the key EMT gene subset?\",\"answer\":\"The subset of 32 genes was represented in pathways such as VEGF signaling and bacterium response, and the genes also interact with genes involved in the JAK-STAT signaling pathway.\"}]","Survival and Enrichment Analysis of Epithelial–Mesenchymal Transition Genes in Bladder Urothelial Carcinoma | PDF",1790229663,53]