Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors
Open accessAbstract
The immune checkpoint inhibitor (ICI) pembrolizumab is US FDA approved for treatment of solid tumors with high tumor mutational burden (TMB-high; ≥10 variants/Mb). However, the extent to which TMB-high generalizes as an accurate biomarker in diverse patient populations is largely unknown. Using two clinical cohorts, we investigated the interplay between genetic ancestry, TMB, and tumor-only versus tumor-normal paired sequencing in solid tumors. TMB estimates from tumor-only panels substantially overclassified individuals into the clinically important TMB-high group due to germline contamination, and this bias was particularly pronounced in patients with Asian/African ancestry. Among patients with non-small cell lung cancer treated with ICIs, those misclassified as TMB-high from tumor-only panels did not associate with improved outcomes. TMB-high was significantly associated with improved outcomes only in European ancestries and merits validation in non-European ancestry populations. Ancestry-aware tumor-only TMB calibration and ancestry-diverse biomarker studies are critical to ensure that existing disparities are not exacerbated in precision medicine.
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Genetic ancestry may be causally related to some genetic traits and diseases, unlike the social construct of race.
“Fairness and diversity have especially important considerations in such applications given that genetic ancestry may be causally related to some genetic traits and diseases (178, 183-186), as opposed to the social construct of race (173).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [186]
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References 60 · Cited by 121
- Authors
- Nassar, A. H., Adib, E., Abou Alaiwi, S., El Zarif, T., Groha, S., Akl, E. W., Nuzzo, P. V., Mouhieddine, T. H., Perea-Chamblee, T., Taraszka, K., El-Khoury, H., Labban, M., Fong, C., Arora, K. S., Labaki, C., Xu, W., Sonpavde, G., Haddad, R. I., Mouw, K. W., Giannakis, M., Hodi, F. S., Zaitlen, N., Schoenfeld, A. J., Schultz, N., Berger, M. F., MacConaill, L. E., Ananda, G., Kwiatkowski, D. J., Choueiri, T. K., Schrag, D., Carrot-Zhang, J., & Gusev, A.
- Affiliations
- Brigham and Women's Hospital (US)
- Dana-Farber Cancer Institute (US)
- Tisch Cancer Institute (US)
- Memorial Sloan Kettering Cancer Center (US)
- University of California, Los Angeles (US)
- Corresponding author
- Gusev, Alexander
- ORCID
- Nassar, Amin H.
- Adib, Elio
- Groha, Stefan
- Akl, Elie W.
- Nuzzo, Pier Vitale
- Mouhieddine, Tarek H.
- Perea-Chamblee, Tomin
- Taraszka, Kodi
- Labban, Muhieddine
- Fong, Christopher
- Arora, Kanika S.
- Labaki, Chris
- Xu, Wenxin
- Sonpavde, Guru
- Haddad, Robert I.
- Mouw, Kent W.
- Giannakis, Marios
- Hodi, F. Stephen
- Zaitlen, Noah
- Schoenfeld, Adam J.
- Schultz, Nikolaus
- Berger, Michael F.
- MacConaill, Laura E.
- Ananda, Guruprasad
- Kwiatkowski, David J.
- Choueiri, Toni K.
- Schrag, Deborah
- Gusev, Alexander
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 40
- Issue
- 10
- Pages
- 1161-1172.e5
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC9559771
- OpenAlex
- W4298008695
- Cited by
- 121
- References
- 60
- Citations by year
- 2026: 20 · 2025: 24 · 2024: 28 · 2023: 45 · 2022: 4
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 374 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Doris Duke Charitable Foundation
- Harvard Medical School
- Dana-Farber/Harvard Cancer Center
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Keywords
- tumor mutational burden, genetic ancestry, pembrolizumab, immune checkpoint inhibitors, tumor-only sequencing, non-small cell lung cancer
- MeSH terms
- Immune Checkpoint Inhibitors, Carcinoma, Non-Small-Cell Lung, Humans, Lung Neoplasms, Mutation, Biomarkers, Tumor, Tumor Burden
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