{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T22:50:25Z","timestamp":1791240625936,"version":"4.1.0"},"reference-count":40,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Molecular Carcinogenesis"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The m\n                    <jats:sup>5<\/jats:sup>\n                    C RNA modifications have been implicated in the pathogenesis of urothelial carcinoma and hold potential as prognostic biomarkers for muscle\u2010invasive bladder cancer (MIBC) patients. In this study, we developed an MIBC\u2010risk model by integrating m\n                    <jats:sup>5<\/jats:sup>\n                    C modification\u2010related genes and differentially expressed genes using Nanopore sequencing and a machine learning approach. Compared to our previous research, we observed that m\n                    <jats:sup>5<\/jats:sup>\n                    C modifications are more functional, with the most enriched regions being the 3\u2032UTR and exons. Our analysis revealed differential m\n                    <jats:sup>5<\/jats:sup>\n                    C methylation sites in several well\u2010characterized cancer\u2010related genes, including BMI1, PTEN, MALAT1, FADD, STAT5A, BIRC6, FOXO3, CCNG1, PAK2, UBE2L3, SMARCB1, and TUG1. Functional enrichment analysis demonstrated significant involvement of these genes in key oncogenic pathways, particularly DNA damage response, double\u2010strand break repair, p53 signaling, MAPK cascade, NF\u2010\u03baB signaling, and cell proliferation\/migration pathways. Unlike models based on single factors, the combination of m\n                    <jats:sup>5<\/jats:sup>\n                    C modification\u2010related genes and differentially expressed genes resulted in a more effective classification model. This approach yielded an optimized 11\u2010gene prognostic signature comprising GGA1, NUMBL, ECHDC2, NLRC5, EIF2D, GJA1, XPC, DAZAP2, C6orf120, WDR45, and CES1, which demonstrated superior predictive performance in TCGA MIBC patients. These findings establish m\n                    <jats:sup>5<\/jats:sup>\n                    C RNA modification patterns as promising molecular signatures for MIBC prognosis and potential therapeutic targets.\n                  <\/jats:p>","DOI":"10.1002\/mc.70042","type":"journal-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T07:13:05Z","timestamp":1758784385000},"page":"2017-2025","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["RNA m\n                    <sup>5<\/sup>\n                    C Modifications in the Development and Prognosis of Muscle\u2010Invasive Bladder Cancer"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3601-0150","authenticated-orcid":false,"given":"Lili","family":"Zhang","sequence":"first","affiliation":[{"name":"Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of 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Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hexin","family":"Li","sequence":"additional","affiliation":[{"name":"Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaoyuan","family":"Sun","sequence":"additional","affiliation":[{"name":"Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8569-8214","authenticated-orcid":false,"given":"Qiuzi","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing 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