PubMed · 39701102
Pan-cancer analysis of biallelic inactivation in tumor suppressor genes identifies KEAP1 zygosity as a predictive biomarker in lung cancer.
Abstract
The canonical model of tumor suppressor gene (TSG)-mediated oncogenesis posits that loss of both alleles is necessary for inactivation. Here, through allele-specific analysis of sequencing data from 48,179 cancer patients, we define the prevalence, selective pressure for, and functional consequences of biallelic inactivation across TSGs. TSGs largely assort into distinct classes associated with either pan-cancer (Class 1) or lineage-specific (Class 2) patterns of selection for biallelic loss, although some TSGs are predominantly monoallelically inactivated (Class 3/4). We demonstrate that selection for biallelic inactivation can be utilized to identify driver genes in non-canonical contexts, including among variants of unknown significance (VUSs) of several TSGs such as KEAP1. Genomic, functional, and clinical data collectively indicate that KEAP1 VUSs phenocopy established KEAP1 oncogenic alleles and that zygosity, rather than variant classification, is predictive of therapeutic response. TSG zygosity is therefore a fundamental determinant of disease etiology and therapeutic sensitivity.
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Mark Zucker, Maria A Perry, Samuel I Gould, Arielle Elkrief, Anton Safonov, Rohit Thummalapalli, Miika Mehine, Debyani Chakravarty, A Rose Brannon, Marc Ladanyi, Pedram Razavi, Mark T A Donoghue, Yonina R Murciano-Goroff, Kristiana Grigoriadis, Nicholas McGranahan, Mariam Jamal-Hanjani, Charles Swanton, Yuan Chen, Ronglai Shen, Sarat Chandarlapaty, David B Solit, Nikolaus Schultz, Michael F Berger, Jason Chang, Adam J Schoenfeld, Francisco J Sánchez-Rivera, Ed Reznik, Chaitanya Bandlamudi. 2024-12-18. Pan-cancer analysis of biallelic inactivation in tumor suppressor genes identifies KEAP1 zygosity as a predictive biomarker in lung cancer.. https://doi.org/10.1016/j.cell.2024.11.010
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