{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T15:55:33Z","timestamp":1786118133224,"version":"build-2736575974"},"reference-count":96,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["iubmb.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biotech and App Biochem"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Ovarian Cancer is a leading cause of mortality among women globally, primarily due to lack of specific and sensitive early\u2010stage diagnostic tools. This study aims to identify hub genes associated with recurrent, late\u2010stage, and metastatic tumors as potential prognostic biomarkers and drug targets. Gene expression data from eight National Center for Biotechnology Information (NCBI)\u2013Gene Expression Omnibus (GEO) datasets were categorized by recurrence, tumor\u2010stage, and metastasis. Differential gene expression and enrichment analyses were performed. Hub genes were identified by protein\u2013protein interaction networks and validated by the University of Alabama at Birmingham Cancer Data Analysis Portal (UALCAN), GEPIA2, pROC, and Kaplan\u2013Meier plotter databases. Genetic alterations, immune cell infiltration, miRNA prediction, and drug\u2013gene interactions were assessed using cBioPortal, CIBERSORTx, Encyclopedia of RNA Interactomes (ENCORI), and Drug\u2013Gene Interaction Database (DGIdb), respectively. Eight hub genes (\n                    <jats:italic>FN1<\/jats:italic>\n                    ,\n                    <jats:italic>COL1<\/jats:italic>\n                    <jats:italic>A1<\/jats:italic>\n                    ,\n                    <jats:italic>COL1A2<\/jats:italic>\n                    ,\n                    <jats:italic>COL3A1<\/jats:italic>\n                    ,\n                    <jats:italic>POSTN<\/jats:italic>\n                    ,\n                    <jats:italic>LUM<\/jats:italic>\n                    ,\n                    <jats:italic>IGF1<\/jats:italic>\n                    , and\n                    <jats:italic>CXCL8<\/jats:italic>\n                    ) were identified, with\n                    <jats:italic>COL1A2<\/jats:italic>\n                    common across all tumor categories. Note that 19.6% of cases showed mutations in these genes, primarily\n                    <jats:italic>COL3A1<\/jats:italic>\n                    . Overexpression of most hub genes and reduced expression of\n                    <jats:italic>CXCL8<\/jats:italic>\n                    correlated with worse survival outcomes.\n                    <jats:italic>COL1A1<\/jats:italic>\n                    and\n                    <jats:italic>FN1<\/jats:italic>\n                    showed strong diagnostic ability. Late\u2010stage tumors showed elevated M2 macrophages and neutrophils. hsa\u2010miR\u201029a\u20103p, hsa\u2010miR\u201029b\u20103p, and hsa\u2010miR\u201029c\u20103p were identified as the most interactive miRNAs. Ocriplasmin and pamidronate were identified as potential therapeutics. Our findings highlight the therapeutic relevance of these hub genes and identify them as potential drug targets and prognostic biomarkers in ovarian cancer.\n                  <\/jats:p>","DOI":"10.1002\/bab.70134","type":"journal-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:27:41Z","timestamp":1769495261000},"page":"1806-1827","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring Molecular Signature and Prognostic Biomarkers in Ovarian Cancer: Insights From Late\u2010Stage, Recurrent, and Metastatic Tumors"],"prefix":"10.1002","volume":"73","author":[{"given":"Vandana","family":"Yadav","sequence":"first","affiliation":[{"name":"MIT ADTU School of Bioengineering Sciences &amp; Research MIT Art Design and Technology University  Pune Maharashtra 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