{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T03:49:11Z","timestamp":1791949751779,"version":"4.3.4"},"reference-count":36,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"vor","delay-in-days":12,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100017527","name":"Jiangsu Cancer Hospital","doi-asserted-by":"publisher","award":["XHZD202503"],"award-info":[{"award-number":["XHZD202503"]}],"id":[{"id":"10.13039\/501100017527","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Chem Biol Drug Des"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Ovarian cancer (OC) is one of the most aggressive gynecological malignancies worldwide. The tumor microenvironment and transcriptomic alterations play important roles in OC progression and therapeutic response. Integrative bulk and single\u2010cell transcriptomic analyses may facilitate the identification of prognostic biomarkers and potential therapeutic targets. Multi\u2010Omic datasets from TCGA and GEO were analyzed. Immune\u2010related genes were first integrated with survival information and screened using a random survival forest model to identify five core genes. GO\/KEGG analyses were performed on differentially expressed genes, while GSEA and GSVA were used to characterize pathways associated with the core genes. Single\u2010cell RNA\u2010seq data were processed to determine cell\u2010type\u2010specific expression patterns. Molecular docking predicted potential gene\u2010drug interactions. CCK\u20108, Transwell, and flow cytometry assays assessed the functional role of RELB in OC cells. Five core genes\u2010RELB, CXCL9, PI3, TRAC, and CXCL11\u2010were identified through integration of immune\u2010related genes and random survival forest analysis. Drug sensitivity analysis showed that the expression of all five genes was associated with sensitivity to KU\u201055933. High expression of key genes was associated with altered immune\u2010related features, while CXCL9, CXCL11, and TRAC were positively associated with CD8+ T\u2010cell abundance and cytolytic activity. Single\u2010cell sequencing identified seven cell types, among which CXCL9 and CXCL11 were highly expressed in monocytes, TRAC in T cells, and PI3 in epithelial cells. Molecular docking predicted a potential interaction between PI3 and 6atu\u2010PROGESTERONE, with a binding energy of \u22126.35\u2009kcal\/mol. RELB was highly expressed in OC cells, and its knockdown significantly inhibited cell proliferation, migration, and invasion while promoting apoptosis. This study identifies a five\u2010gene prognostic signature linked to the immune microenvironment in ovarian cancer. Among them, RELB showed a functional role in OC cell malignant phenotypes, supporting its potential as a biomarker and therapeutic target. Computational drug sensitivity and docking analyses provide hypothesis\u2010generating evidence for potential therapeutic associations that require experimental validation.<\/jats:p>","DOI":"10.1111\/cbdd.70409","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T03:34:46Z","timestamp":1791948886000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative Multi\u2010Omics and Experimental Validation Define\n                    <scp>RELB<\/scp>\n                    as an Immune\u2010Related Prognostic Driver in Ovarian Cancer"],"prefix":"10.1111","volume":"108","author":[{"given":"Wenshu","family":"Leng","sequence":"first","affiliation":[{"name":"Department of Gynecologic Oncology Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University  Nanjing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingyue","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation The Fourth People's Hospital of Lianyungang, Affiliated to Kangda College of Nanjing Medical University  Lianyungang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichen","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Gynecologic Oncology Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University  Nanjing 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