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

PURPOSE: 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 a...

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Autores principales: Brawley, Otis W., Luhn, Patricia, Reese-White, Deonna, Ogbu, Uzor C., Madhavan, Sriraman, Wilson, Gerren, Cox, Meghan, Ewing, Altovise, Hammer, Christian, Richie, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577674/
https://www.ncbi.nlm.nih.gov/pubmed/34752134
http://dx.doi.org/10.1200/GO.21.00309
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author Brawley, Otis W.
Luhn, Patricia
Reese-White, Deonna
Ogbu, Uzor C.
Madhavan, Sriraman
Wilson, Gerren
Cox, Meghan
Ewing, Altovise
Hammer, Christian
Richie, Nicole
author_facet Brawley, Otis W.
Luhn, Patricia
Reese-White, Deonna
Ogbu, Uzor C.
Madhavan, Sriraman
Wilson, Gerren
Cox, Meghan
Ewing, Altovise
Hammer, Christian
Richie, Nicole
author_sort Brawley, Otis W.
collection PubMed
description PURPOSE: 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. METHODS: 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. RESULTS: 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 (P < .001); patients of African ancestry had the highest median TMB (8.75 mutations per megabase; interquartile range, 4.35-14.79). In patients who had received CIT, high TMB was associated with improved overall survival compared with low TMB (20.89 v 11.83 months; hazard ratio, 0.60; 95% CI, 0.51 to 0.70) across genomic ancestral groups. CONCLUSION: These results suggest that equitable access to next-generation sequencing may improve aNSCLC outcome disparities in racially and ancestrally diverse populations.
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spelling pubmed-85776742021-11-10 Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer Brawley, Otis W. Luhn, Patricia Reese-White, Deonna Ogbu, Uzor C. Madhavan, Sriraman Wilson, Gerren Cox, Meghan Ewing, Altovise Hammer, Christian Richie, Nicole JCO Glob Oncol ORIGINAL REPORTS PURPOSE: 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. METHODS: 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. RESULTS: 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 (P < .001); patients of African ancestry had the highest median TMB (8.75 mutations per megabase; interquartile range, 4.35-14.79). In patients who had received CIT, high TMB was associated with improved overall survival compared with low TMB (20.89 v 11.83 months; hazard ratio, 0.60; 95% CI, 0.51 to 0.70) across genomic ancestral groups. CONCLUSION: These results suggest that equitable access to next-generation sequencing may improve aNSCLC outcome disparities in racially and ancestrally diverse populations. Wolters Kluwer Health 2021-11-09 /pmc/articles/PMC8577674/ /pubmed/34752134 http://dx.doi.org/10.1200/GO.21.00309 Text en © 2021 by American Society of Clinical Oncology https://creativecommons.org/licenses/by/4.0/Licensed under the Creative Commons Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/)
spellingShingle ORIGINAL REPORTS
Brawley, Otis W.
Luhn, Patricia
Reese-White, Deonna
Ogbu, Uzor C.
Madhavan, Sriraman
Wilson, Gerren
Cox, Meghan
Ewing, Altovise
Hammer, Christian
Richie, Nicole
Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title_full Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title_fullStr Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title_full_unstemmed Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title_short Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non–Small-Cell Lung Cancer
title_sort disparities in tumor mutational burden, immunotherapy use, and outcomes based on genomic ancestry in non–small-cell lung cancer
topic ORIGINAL REPORTS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577674/
https://www.ncbi.nlm.nih.gov/pubmed/34752134
http://dx.doi.org/10.1200/GO.21.00309
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