Underrepresentation of Black Patients in Preclinical Prostate Cancer Models

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Abstract Black men face higher prostate cancer incidence, morbidity, and mortality, yet existing preclinical models fail to reflect this disparity. This paper reviews the availability and relevance of preclinical models in representing prostate cancer in Black patients. A review of 25 studies (15,777 patients) from cBioPortal and cBioPortal GENIE, was conducted. along with a literature search across PubMed, Embase, Web of Science, and CENTRAL, to identify Black-derived cell lines. Only 36% (9/25) of studies reported racial data, with Black participants comprising just 5.18% of the studies that reported race. Cell line analysis revealed 28 Black-derived cell lines from nine individuals, highlighting a reliance on sublines, reducing biological diversity. Studies predominantly originated from the USA and lacked detailed ethnic subgroup data. This underrepresentation of Black patients restricts insights into disease mechanisms and impedes equitable care. Enhancing racial and ethnic diversity in clinical studies and preclinical models is essential for addressing these disparities.
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Underrepresentation of Black Patients in Preclinical Prostate Cancer Models | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Underrepresentation of Black Patients in Preclinical Prostate Cancer Models Alisha Pati-Alam, Tishe Coker, Zahra Ahmed, John Withington, Uzoamaka Okoli, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6718331/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Black men face higher prostate cancer incidence, morbidity, and mortality, yet existing preclinical models fail to reflect this disparity. This paper reviews the availability and relevance of preclinical models in representing prostate cancer in Black patients. A review of 25 studies (15,777 patients) from cBioPortal and cBioPortal GENIE, was conducted. along with a literature search across PubMed, Embase, Web of Science, and CENTRAL, to identify Black-derived cell lines. Only 36% (9/25) of studies reported racial data, with Black participants comprising just 5.18% of the studies that reported race. Cell line analysis revealed 28 Black-derived cell lines from nine individuals, highlighting a reliance on sublines, reducing biological diversity. Studies predominantly originated from the USA and lacked detailed ethnic subgroup data. This underrepresentation of Black patients restricts insights into disease mechanisms and impedes equitable care. Enhancing racial and ethnic diversity in clinical studies and preclinical models is essential for addressing these disparities. Health sciences/Diseases/Cancer/Urological cancer/Prostate cancer Health sciences/Urology/Prostate Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryInformation.pdf Supplementary Information Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6718331","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":467987798,"identity":"eb0b2bdc-b01b-4240-a7ed-a84cddfdadcb","order_by":0,"name":"Alisha 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