{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:36:58Z","timestamp":1786977418123,"version":"build-2736575974"},"reference-count":91,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T00:00:00Z","timestamp":1766707200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Adiposity\u2010Based Chronic Disease (ABCD), a novel model housing obesity, insulin resistance, and adipokine\u2010related inflammation, increases the risk of aggressive prostate cancer (PCa), posttreatment PCa recurrence, and PCa mortality. This paper provides a new network analysis of relevant metabolic drivers to provide insight into the ABCD\u2013PCa relationship.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A literature search was performed using the terms \u201cprostate cancer\u201d AND \u201cobesity\u201d AND \u201cinflammation\u201d, with 629 references found, from which 17 reviews were chosen. Biomarkers identified from these reviews were characterized by cellular origin, signaling pathway, and oncogenic effect. The Webgestalt gene analysis toolkit was then used to generate modular\u2010based network analyses and gene ontology (GO) categories of these biomarkers for interpretation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>14 prominent biomarkers were identified influencing PCa risk through cellular proliferation, resisting cell death, metabolic reprogramming, tumor\u2010promoting inflammation, avoiding immune destruction, angiogenesis, and activating invasion. Network analyses of biomarker interactions highlighted prominent roles of monocyte chemoattractant protein\u20101, interleukin\u20101\u03b2, and C\u2010X\u2010C motif chemokine ligand 1. Top GO categories for the wider ABCD\u2010PCa network found key roles of ABCD\u2010gut microbiome dysbiosis and exposure of periprostatic white adipose tissue to the prostate microbiome (involving bacterial and lipopolysaccharide\u2010induced inflammation).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Top hypotheses to guide molecular targeted therapies and lifestyle biomarker panels for PCa in ABCD relate to MCP\u20101, IL\u20101\u03b2, and CXCL1 signaling, as well as gut microbiome dysbiosis and the exposure of the periprostatic adipose tissue to the prostate microbiome. Further research and possible clinical trials allowing histological examination of pre\u2010 and post\u2010lifestyle intervention PCa tissue may provide further insights.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.71468","type":"journal-article","created":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T08:49:37Z","timestamp":1766738977000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Network and Gene Set Enrichment Analysis of Adipokine Drivers of Prostate Cancer; Unravelling the Mechanistic Link Between Excess Adiposity and Prostate Cancer Risk"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2231-8429","authenticated-orcid":false,"given":"Zachary","family":"Dovey","sequence":"first","affiliation":[{"name":"General Urology, Robotics and Urologic Oncology, Department of Urology Mount Sinai Queens and Icahn School of Medicine at Mount Sinai  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena Tomas","family":"Bort","sequence":"additional","affiliation":[{"name":"Centre for Technology and Bioinformatics Millars  Almazora Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey I.","family":"Mechanick","sequence":"additional","affiliation":[{"name":"Kravis Center for Clinical Cardiovascular Health at Mount Sinai Fuster Heart Hospital Icahn School of Medicine at Mount Sinai  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,12,26]]},"reference":[{"key":"e_1_2_12_2_1","volume-title":"Cancer Facts & Figures\u00a02024","author":"American Cancer Society","year":"2024"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.4158\/EP161688.PS"},{"key":"e_1_2_12_4_1","volume-title":"Diet, Nutrition, Physical Activity and Cancer; a Global Perspective. 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