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Racial and ethnic disparities in a real-world precision oncology data registry.
Cheung, Alexander T M; Palapattu, Elina L; Pompa, Isabella R; Aldrighetti, Christopher M; Niemierko, Andrzej; Willers, Henning; Huang, Franklin; Vapiwala, Neha; Van Allen, Eliezer; Kamran, Sophia C.
Afiliação
  • Cheung ATM; NYU Grossman School of Medicine, New York, NY, USA.
  • Palapattu EL; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Pompa IR; Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Aldrighetti CM; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Niemierko A; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Willers H; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Huang F; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Vapiwala N; Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Van Allen E; Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Kamran SC; Department of Radiation Oncology, Hospital of the University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
NPJ Precis Oncol ; 7(1): 7, 2023 Jan 19.
Article em En | MEDLINE | ID: mdl-36658153
ABSTRACT
Biorepositories enable precision oncology research by sharing clinically annotated genomic data, but it remains unknown whether these data registries reflect the true distribution of cancers in racial and ethnic minorities. Our analysis of Project Genomics Evidence Neoplasia Information Exchange (GENIE), a real-world cancer data registry designed to accelerate precision oncology discovery, indicates that minorities do not have sufficient representation, which may impact the validity of studies directly comparing mutational profiles between racial/ethnic groups and limit generalizability of biomarker discoveries to all populations.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article