{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:51:47Z","timestamp":1783529507488,"version":"3.55.0"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T00:00:00Z","timestamp":1714435200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genetics Research"],"published-print":{"date-parts":[[2024,4,30]]},"abstract":"<jats:p>Bladder cancer has recently seen an alarming increase in global diagnoses, ascending as a predominant cause of cancer-related mortalities. Given this pressing scenario, there is a burgeoning need to identify effective biomarkers for both the diagnosis and therapeutic guidance of bladder cancer. This study focuses on evaluating the potential of high-definition computed tomography (CT) imagery coupled with RNA-sequencing analysis to accurately predict bladder tumor stages, utilizing deep residual networks. Data for this study, including CT images and RNA-Seq datasets for 82 high-grade bladder cancer patients, were sourced from the TCIA and TCGA databases. We employed Cox and lasso regression analyses to determine radiomics and gene signatures, leading to the identification of a three-factor radiomics signature and a four-gene signature in our bladder cancer cohort. ROC curve analyses underscored the strong predictive capacities of both these signatures. Furthermore, we formulated a nomogram integrating clinical features, radiomics, and gene signatures. This nomogram\u2019s AUC scores stood at 0.870, 0.873, and 0.971 for 1-year, 3-year, and 5-year predictions, respectively. Our model, leveraging radiomics and gene signatures, presents significant promise for enhancing diagnostic precision in bladder cancer prognosis, advocating for its clinical adoption.<\/jats:p>","DOI":"10.1155\/2024\/4285171","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T13:50:07Z","timestamp":1714485007000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images"],"prefix":"10.1155","volume":"2024","author":[{"given":"Yao","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingju","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhucheng","family":"Sun","sequence":"additional","affiliation":[{"name":"Interventional Radiology, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5308-1674","authenticated-orcid":true,"given":"Bo","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.17598"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.hoc.2014.12.001"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2017.22"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30512-8"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1177\/0391560319899011"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1038\/551S33a"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s11307-022-01715-3"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1053\/j.semnuclmed.2021.12.004"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-019-02276-w"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.urolonc.2022.05.017"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1249-6"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.euf.2021.05.005"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-17-1510"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.704039"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.hoc.2021.02.001"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1590\/S1677-5538.IBJU.2020.02.01"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1038\/s41585-022-00611-3"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1053\/j.semnuclmed.2020.02.006"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-023-02875-2"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2014.10.004"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-023-00778-0"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08426-3"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.4172\/1948-5956.S14-001"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.106635"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2023.1195520"}],"container-title":["Genetics Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/gr\/2024\/4285171.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/gr\/2024\/4285171.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/gr\/2024\/4285171.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T13:50:11Z","timestamp":1714485011000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/gr\/2024\/4285171\/"}},"subtitle":[],"editor":[{"given":"Hongda","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2024,4,30]]},"references-count":25,"alternative-id":["4285171","4285171"],"URL":"https:\/\/doi.org\/10.1155\/2024\/4285171","relation":{},"ISSN":["1469-5073","0016-6723"],"issn-type":[{"value":"1469-5073","type":"electronic"},{"value":"0016-6723","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4,30]]}}}