| Literature DB >> 36179682 |
Amin H Nassar1, Elio Adib2, Sarah Abou Alaiwi2, Talal El Zarif3, Stefan Groha4, Elie W Akl5, Pier Vitale Nuzzo3, Tarek H Mouhieddine6, Tomin Perea-Chamblee7, Kodi Taraszka8, Habib El-Khoury9, Muhieddine Labban10, Christopher Fong7, Kanika S Arora11, Chris Labaki3, Wenxin Xu3, Guru Sonpavde3, Robert I Haddad12, Kent W Mouw13, Marios Giannakis12, F Stephen Hodi14, Noah Zaitlen8, Adam J Schoenfeld15, Nikolaus Schultz7, Michael F Berger16, Laura E MacConaill17, Guruprasad Ananda18, David J Kwiatkowski5, Toni K Choueiri3, Deborah Schrag19, Jian Carrot-Zhang20, Alexander Gusev21.
Abstract
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.Entities:
Keywords: biomarker; cancer disparities; genetic ancestry; genomics; immunotherapy; tumor mutational burden
Mesh:
Substances:
Year: 2022 PMID: 36179682 PMCID: PMC9559771 DOI: 10.1016/j.ccell.2022.08.022
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 38.585