Litcius/Paper detail

Racial and ethnic disparities in a real-world precision oncology data registry

Alexander T. M. Cheung, Elina L. Palapattu, Isabella R. Pompa, Christopher M. Aldrighetti, Andrzej Niemierko, Henning Willers, Franklin W. Huang, Neha Vapiwala, Eliezer M. Van Allen, Sophia C. Kamran

2023npj Precision Oncology35 citationsDOIOpen Access PDF

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.

Topics & Concepts

Generalizability theoryPrecision oncologyEthnic groupPrecision medicineOncologyMedicineGenomicsData sharingHealth equityCancerData scienceInternal medicineComputer sciencePsychologyGeneticsPolitical scienceBiologyAlternative medicinePathologyGeneDevelopmental psychologyLawGenomePublic healthCancer Genomics and DiagnosticsMolecular Biology Techniques and ApplicationsEthics in Clinical Research