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Genetic Ancestry Correlates with Somatic Differences in a Real-World Clinical Cancer Sequencing Cohort.
Arora, Kanika; Tran, Thinh N; Kemel, Yelena; Mehine, Miika; Liu, Ying L; Nandakumar, Subhiksha; Smith, Shaleigh A; Brannon, A Rose; Ostrovnaya, Irina; Stopsack, Konrad H; Razavi, Pedram; Safonov, Anton; Rizvi, Hira A; Hellmann, Matthew D; Vijai, Joseph; Reynolds, Thomas C; Fagin, James A; Carrot-Zhang, Jian; Offit, Kenneth; Solit, David B; Ladanyi, Marc; Schultz, Nikolaus; Zehir, Ahmet; Brown, Carol L; Stadler, Zsofia K; Chakravarty, Debyani; Bandlamudi, Chaitanya; Berger, Michael F.
Afiliação
  • Arora K; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Tran TN; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Kemel Y; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Mehine M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Liu YL; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Nandakumar S; Robert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Smith SA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Brannon AR; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Ostrovnaya I; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Stopsack KH; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Razavi P; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Safonov A; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Rizvi HA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Hellmann MD; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Vijai J; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Reynolds TC; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Fagin JA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Carrot-Zhang J; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Offit K; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Solit DB; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Ladanyi M; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Schultz N; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Zehir A; Robert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Brown CL; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Stadler ZK; Office of Health Equity, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Chakravarty D; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Bandlamudi C; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Berger MF; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Cancer Discov ; 12(11): 2552-2565, 2022 11 02.
Article em En | MEDLINE | ID: mdl-36048199
ABSTRACT
Accurate ancestry inference is critical for identifying genetic contributors of cancer disparities among populations. Although methods to infer genetic ancestry have historically relied upon genome-wide markers, the adaptation to targeted clinical sequencing panels presents an opportunity to incorporate ancestry inference into routine diagnostic workflows. We show that global ancestral contributions and admixture of continental populations can be quantitatively inferred using markers captured by the MSK-IMPACT clinical panel. In a pan-cancer cohort of 45,157 patients, we observed differences by ancestry in the frequency of somatic alterations, recapitulating known associations and revealing novel associations. Despite the comparable overall prevalence of driver alterations by ancestry group, the proportion of patients with clinically actionable alterations was lower for African (30%) compared with European (33%) ancestry. Although this result is largely explained by population-specific cancer subtype differences, it reveals an inequity in the degree to which different populations are served by existing precision oncology interventions.

SIGNIFICANCE:

We performed a comprehensive analysis of ancestral associations with somatic mutations in a real-world pan-cancer cohort, including >5,000 non-European individuals. Using an FDA-authorized tumor sequencing panel and an FDA-recognized oncology knowledge base, we detected differences in the prevalence of clinically actionable alterations, potentially contributing to health care disparities affecting underrepresented populations. This article is highlighted in the In This Issue feature, p. 2483.
Assuntos

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: População Branca / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cancer Discov Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: População Branca / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cancer Discov Ano de publicação: 2022 Tipo de documento: Article