Genomic ancestry in kidney cancer: Correlations with clinical and molecular features

Author:

Kotecha Ritesh R.12ORCID,Knezevic Andrea3ORCID,Arora Kanika45ORCID,Bandlamudi Chaitanya45ORCID,Kuo Fengshen6ORCID,Carlo Maria I.12ORCID,Fitzgerald Kelly N.1ORCID,Feldman Darren R.12ORCID,Shah Neil J.12ORCID,Reznik Ed34ORCID,Hakimi A. Ari7ORCID,Carrot‐Zhang Jian34ORCID,Mandelker Diana58ORCID,Berger Michael45ORCID,Lee Chung‐Han12ORCID,Motzer Robert J.12ORCID,Voss Martin H.12ORCID

Affiliation:

1. Department of Medicine Memorial Sloan Kettering Cancer Center New York New York USA

2. Department of Medicine Weill Cornell Medical Center New York New York USA

3. Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York New York USA

4. Marie‐Jose and Henry R. Kravis Center for Molecular Oncology Memorial Sloan Kettering Cancer Center New York New York USA

5. Human Oncology and Pathogenesis Program Memorial Sloan Kettering Cancer Center New York New York USA

6. Immunogenomics and Precision Oncology Platform Memorial Sloan Kettering Cancer Center New York New York USA

7. Department of Surgery Memorial Sloan Kettering Cancer Center New York New York USA

8. Department of Pathology Memorial Sloan Kettering Cancer Center New York New York USA

Abstract

AbstractIntroductionGenetic 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.MethodsA 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‐generation sequencing of normal and tumor DNA using Memorial Sloan Kettering‐Integrated 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–Wallis test.ResultsIn 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‐poor: EUR 58%, AFR 88%, EAS 74%, and SAS 73%). Pathogenic/likely pathogenic germline variants in cancer‐predisposition genes varied (16% EUR, 23% AFR, 8% EAS, and 0% SAS), and most occurred in CHEK2 in EUR (3.1%) and FH in AFR (15.4%). In patients with clear cell RCC, somatic alteration incidence varied with significant enrichment in BAP1 alterations (EUR 17%, AFR 50%, SAS 29%; p = .01). Comparing AFR and EUR groups within The Cancer Genome Atlas, significant differences were identified in angiogenesis and inflammatory pathways.ConclusionDifferences in clinical and molecular data by GA highlight population‐specific variations in patients with RCC. Exploration of both genetic and nongenetic variables remains critical to optimize efforts to overcome health‐related disparities.

Funder

Kidney Cancer Association

Publisher

Wiley

Subject

Cancer Research,Oncology

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