{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T04:04:08Z","timestamp":1786766648505,"version":"build-2736575974"},"reference-count":36,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100003064","name":"Kidney Cancer Association","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100003064","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Genetic ancestry (GA) refers to population hereditary patterns that contribute to phenotypic differences seen among race\/ethnicity groups, and differences among GA groups may highlight unique biological determinants that add to our understanding of health care disparities.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A retrospective review of patients with renal cell carcinoma (RCC) was performed and correlated GA with clinicopathologic, somatic, and germline molecular data. All patients underwent next\u2010generation sequencing of normal and tumor DNA using Memorial Sloan Kettering\u2010Integrated Mutation Profiling of Actionable Cancer Targets, and contribution of African (AFR), East Asian (EAS), European (EUR), Native American, and South Asian (SAS) ancestry was inferred through supervised ADMIXTURE. Molecular data was compared across GA groups by Fisher exact test and Kruskal\u2013Wallis test.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In 953 patients with RCC, the GA distribution was: EUR (78%), AFR (4.9%), EAS (2.5%), SAS (2%), Native American (0.2%), and Admixed (12.2%). GA distribution varied by tumor histology and international metastatic RCC database consortium disease risk status (intermediate\u2010poor: EUR 58%, AFR 88%, EAS 74%, and SAS 73%). Pathogenic\/likely pathogenic germline variants in cancer\u2010predisposition genes varied (16% EUR, 23% AFR, 8% EAS, and 0% SAS), and most occurred in <jats:italic>CHEK2<\/jats:italic> in EUR (3.1%) and <jats:italic>FH<\/jats:italic> in AFR (15.4%). In patients with clear cell RCC, somatic alteration incidence varied with significant enrichment in <jats:italic>BAP1<\/jats:italic> alterations (EUR 17%, AFR 50%, SAS 29%; <jats:italic>p<\/jats:italic>\u00a0=\u00a0.01). Comparing AFR and EUR groups within The Cancer Genome Atlas, significant differences were identified in angiogenesis and inflammatory pathways.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Differences in clinical and molecular data by GA highlight population\u2010specific variations in patients with RCC. Exploration of both genetic and nongenetic variables remains critical to optimize efforts to overcome health\u2010related disparities.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.35074","type":"journal-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:24:50Z","timestamp":1697873090000},"page":"692-701","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Genomic ancestry in kidney cancer: Correlations with clinical and molecular features"],"prefix":"10.1002","volume":"130","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0223-3479","authenticated-orcid":false,"given":"Ritesh R.","family":"Kotecha","sequence":"first","affiliation":[{"name":"Department of Medicine Memorial Sloan Kettering Cancer Center  New York New York USA"},{"name":"Department of Medicine Weill Cornell Medical Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0741-2150","authenticated-orcid":false,"given":"Andrea","family":"Knezevic","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9537-8708","authenticated-orcid":false,"given":"Kanika","family":"Arora","sequence":"additional","affiliation":[{"name":"Marie\u2010Jose and Henry R. 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