{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T06:50:10Z","timestamp":1791874210985,"version":"4.3.4"},"reference-count":44,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T00:00:00Z","timestamp":1777248000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T00:00:00Z","timestamp":1777248000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100008798","name":"Ministry of Science Research and Technology","doi-asserted-by":"publisher","award":["MSRT"],"award-info":[{"award-number":["MSRT"]}],"id":[{"id":"10.13039\/501100008798","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003968","name":"Iran National Science Foundation","doi-asserted-by":"publisher","award":["INSF_4036413"],"award-info":[{"award-number":["INSF_4036413"]}],"id":[{"id":"10.13039\/501100003968","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Clinicopathologic calculators for bladder cancer (BC) provide only moderate prognostic accuracy and do not capture the underlying molecular phenotypes. Herein, we applied capillary electrophoresis\u2013mass spectrometry (CE\u2013MS) to identify prognostic signatures in urine linked to BC outcome. In a discovery cohort (\n                    <jats:italic>n<\/jats:italic>\n                    = 131; mean follow\u2010up 623 days), 114 survival\u2010associated peptides were significant prognostic factors for overall survival (OS) and were integrated into, and optimized as a 110\u2010peptide support vector machine (SVM) classifier (BC110). Validation of the BC110 classifier was performed in an independent cohort (\n                    <jats:italic>n<\/jats:italic>\n                    = 102; mean follow\u2010up 1605 days), resulting in an AUC of 0.78 (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.03). Functional enrichment analysis revealed that the BC110 peptide panel predominantly reflects extracellular matrix (ECM) remodeling and collagen\u2010related pathways, alongside additional biological processes including coagulation, complement activation, oxidative stress, and RNA processing, consistent with active tumor\u2013stroma crosstalk. This urine\u2010based classifier enables non\u2010invasive risk stratification and may complement guideline calculators by identifying high\u2010risk patients for adjuvant therapy and low\u2010risk groups for reduced surveillance, potentially lowering reliance on repeated cystoscopy.\n                  <\/jats:p>","DOI":"10.1002\/pmic.70135","type":"journal-article","created":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T04:55:49Z","timestamp":1777352149000},"page":"169-180","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Urinary Peptidomic Signatures Predict Overall and Progression\u2010Free Survival in Bladder Cancer"],"prefix":"10.1002","volume":"26","author":[{"given":"Melika","family":"Ahangar","sequence":"first","affiliation":[{"name":"Department of Clinical Genetics National Institute of Genetic Engineering and Biotechnology (NIGEB)  Tehran 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