Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non-Small-Cell Lung Cancer.


Journal

JCO global oncology
ISSN: 2687-8941
Titre abrégé: JCO Glob Oncol
Pays: United States
ID NLM: 101760170

Informations de publication

Date de publication:
09 2021
Historique:
entrez: 9 11 2021
pubmed: 10 11 2021
medline: 22 4 2022
Statut: ppublish

Résumé

In patients with advanced non-small-cell lung cancer (aNSCLC), tumor mutational burden (TMB) may vary by genomic ancestry; however, its impact on treatment outcomes is unclear. This retrospective, observational study describes treatment patterns of patients with aNSCLC by genomic ancestry and electronic health record (EHR)-reported race and/or ethnicity and evaluates differences in TMB, cancer immunotherapy (CIT) access, and treatment outcomes across racial and ancestral groups. Patients diagnosed with aNSCLC after January 1, 2011, were selected from a real-world deidentified clinicogenomics database and EHR-derived database; continuously enrolled patients were evaluated. Race and/or ethnicity was recorded using variables from the EHR database; genomic ancestry was classified by single-nucleotide polymorphisms on a next-generation sequencing panel. A threshold of 16 mutations per megabase was used to categorize TMB status. Of 59,559 patients in the EHR-derived database and 7,548 patients in the clinicogenomics database, 35,016 (58.8%) and 4,392 (58.2%) were continuously enrolled, respectively. CIT use was similar across EHR-reported race groups, ranging from 34.4% to 37.3% for non-Hispanic Asian and non-Hispanic Black patients, respectively. TMB levels varied significantly across ancestry groups ( These results suggest that equitable access to next-generation sequencing may improve aNSCLC outcome disparities in racially and ancestrally diverse populations.

Identifiants

pubmed: 34752134
doi: 10.1200/GO.21.00309
pmc: PMC8577674
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1537-1546

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Auteurs

Otis W Brawley (OW)

Johns Hopkins University, Baltimore, MD.

Patricia Luhn (P)

Genentech Inc, South San Francisco, CA.

Deonna Reese-White (D)

Genentech Inc, South San Francisco, CA.

Uzor C Ogbu (UC)

Genentech Inc, South San Francisco, CA.

Sriraman Madhavan (S)

Genentech Inc, South San Francisco, CA.

Gerren Wilson (G)

Genentech Inc, South San Francisco, CA.

Meghan Cox (M)

Genentech Inc, South San Francisco, CA.

Altovise Ewing (A)

Genentech Inc, South San Francisco, CA.

Christian Hammer (C)

Genentech Inc, South San Francisco, CA.

Nicole Richie (N)

Genentech Inc, South San Francisco, CA.

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Classifications MeSH