{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T10:04:03Z","timestamp":1767175443630,"version":"build-2238731810"},"reference-count":24,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"9","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Clin Cancer Inform"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:sec>\n                    <jats:title>PURPOSE<\/jats:title>\n                    <jats:p>Bladder cancer (BLCA) ranks as the tenth most common malignancy worldwide, with rising incidence and mortality rates. Owing to its molecular and clinical heterogeneity, BLCA is associated with high rates of recurrence and metastasis after surgery, contributing to a poor 5-year survival rate. There is a pressing need for highly sensitive and specific molecular biomarkers to enable early identification of high-risk patients, guide clinical management, and improve patient outcomes. This study aimed to develop a prognostic model on the basis of aging-related genes (ARGs) to evaluate survival outcomes and immunotherapy responsiveness in patients with BLCA, and to further explore its relevance to the tumor immune microenvironment and drug sensitivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>MATERIALS AND METHODS<\/jats:title>\n                    <jats:p>Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression analyses. Patients were stratified into high-risk and low-risk groups according to the median risk score. Kaplan-Meier survival curves, receiver operating characteristic analyses, and nomograms were used to assess the predictive value of the model. Univariate and multivariate Cox regression analyses were conducted to determine its prognostic independence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      Twelve ARGs were identified. Patients in the low-risk group exhibited significantly better overall survival (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .0001). In the TCGA cohort, the model yielded AUC values ranging from 0.772 to 0.794 across 1-5 years. Cox regression confirmed the ARG score as an independent prognostic indicator. External validation using the GSE32894 data set supported its clinical reliability. The ARG signature was also associated with immune cell infiltration and predicted chemosensitivity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>The ARG-based risk score independently predicts clinical prognosis in BLCA and correlates with immune microenvironment characteristics, offering potential value in guiding personalized treatment strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1200\/cci-25-00019","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T20:00:13Z","timestamp":1754683213000},"update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":0,"title":["Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis"],"prefix":"10.1200","author":[{"given":"Kun","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Oncology, the Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China. Department of Oncology, Suqian Hospital of Nanjing Drum Tower Hospital Group"},{"name":"Department of Urology, the Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China. Department of Urology, Suqian Hospital of Nanjing Drum Tower Hospital Group"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Chao","sequence":"additional","affiliation":[{"name":"Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China"},{"name":"Department of Urology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"Suzhou Medical College of Soochow University, Suzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China"},{"name":"Department of Urology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longjun","family":"Cai","sequence":"additional","affiliation":[{"name":"Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China"},{"name":"Department of Urology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China"},{"name":"Department of Urology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1832-7741","authenticated-orcid":true,"given":"Shaoqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Oncology, the Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China. Department of Oncology, Suqian Hospital of Nanjing Drum Tower Hospital Group"},{"name":"Department of Urology, the Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China. Department of Urology, Suqian Hospital of Nanjing Drum Tower Hospital Group"},{"name":"Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China"},{"name":"Department of Urology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"233","reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00345-019-02984-4"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-023-00744-3"},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)60491-8"},{"key":"e_1_3_5_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.euo.2020.12.002"},{"key":"e_1_3_5_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/bju.14872"},{"key":"e_1_3_5_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/acel.13338"},{"key":"e_1_3_5_8_2","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2023.1289198"},{"key":"e_1_3_5_9_2","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkaa894"},{"key":"e_1_3_5_10_2","unstructured":"AgingAtlas: A comprehensive database platform integrating aging-related genes phenotypes and regulatory networks across humans and multiple species. https:\/\/ngdc.cncb.ac.cn\/aging\/index"},{"key":"e_1_3_5_11_2","unstructured":"TIMER2.0: A comprehensive web server for the systematic analysis of immune cell infiltrates across various cancer types using multiple computational methods. http:\/\/timer.cistrome.org\/"},{"key":"e_1_3_5_12_2","unstructured":"Tumor Immune Dysfunction and Exclusion (TIDE): A computational framework designed to model tumor immune evasion mechanisms and predict patient response to immune checkpoint blockade therapies. http:\/\/tide.dfci.harvard.edu\/"},{"key":"e_1_3_5_13_2","unstructured":"DAVID Functional Annotation Bioinformatics Microarray Analysis: A web-based bioinformatics resource that provides tools for functional annotation and enrichment analysis of gene lists derived from high-throughput experiments. https:\/\/david.ncifcrf.gov\/"},{"key":"e_1_3_5_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccell.2023.05.006"},{"key":"e_1_3_5_15_2","doi-asserted-by":"publisher","DOI":"10.1038\/551S34a"},{"key":"e_1_3_5_16_2","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2024.1430792"},{"key":"e_1_3_5_17_2","doi-asserted-by":"publisher","DOI":"10.1097\/JS9.0000000000001516"},{"key":"e_1_3_5_18_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12943-023-01897-6"},{"key":"e_1_3_5_19_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-46735-5"},{"key":"e_1_3_5_20_2","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202205613"},{"key":"e_1_3_5_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41388-018-0646-9"},{"key":"e_1_3_5_22_2","first-page":"rs.3.rs-3697712","article-title":"TRIM29 promotes bladder cancer invasion by regulating the intermediate filament network and focal adhesion","volume":"12","author":"Palmbos P","year":"2023","unstructured":"Palmbos P, Wang Y, Jerome N, et al: TRIM29 promotes bladder cancer invasion by regulating the intermediate filament network and focal adhesion. 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