Abstract

Identification of cancer driver genes using somatic mutation patterns indicative of positive selection has become a major goal in cancer genomics. However, cancer cells additionally depend on a large number of genes involved in basic cellular processes. While such genes should in theory be subject to strong purifying (negative) selection against damaging somatic mutations, these patterns have been elusive and purifying selection remains inadequately explored in cancer. Here, we hypothesized that purifying selection should be evident in hemizygous genomic regions, where damaging mutations cannot be compensated for by healthy alleles. Using a 7,781-sample pan-cancer dataset, we first confirmed this in POLR2A, an essential gene where hemizygous deletions are known to confer elevated sensitivity to pharmacological suppression. We next used this principle to identify several genes and pathways that show patterns indicative of purifying selection to avoid deleterious mutations. These include the POLR2A interacting protein INTS10 as well as genes involved in mRNA splicing, nonsense-mediated mRNA decay and other RNA processing pathways. Many of these genes belong to large protein complexes, and strong overlaps were observed with recent functional screens for gene essentiality in human cells. Our analysis supports that purifying selection acts to preserve the remaining function of many hemizygously deleted essential genes in tumors, indicating vulnerabilities that might be exploited by future therapeutic strategies.

Highlights

  • Cancer cells evolve by natural selection, which favors advantageous genetic changes and disfavors deleterious changes

  • Somatic mutations in POLR2A are subject to purifying selection

  • Our results suggest that purifying selection against high impact mutations is detectable in essential genes like POLR2A when subjected to single-allele copy number loss

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Summary

Introduction

Cancer cells evolve by natural selection, which favors advantageous genetic changes (positive selection) and disfavors deleterious changes (negative or purifying selection). Identification of somatic mutation patterns indicative of positive selection has become a major goal in cancer genomics [1,2] This is motivated by a search for cancer driver genes and pathways that are recurrently activated in tumors but not healthy cells, providing possible therapeutic windows. Similar to healthy cells, cancer cells depend on a large number of basic cellular processes, and it has been demonstrated that some tumors show elevated sensitivity to inhibition of specific essential non-driver genes [3,4]. While these genes should in theory be subject to purifying selection against damaging somatic mutations, these patterns have been elusive in cancer. This is supported by a lack of depletion of somatic mutations in coding exons [7], as well as the observation that tumors carry many damaging mutations that have evaded purifying selection [8]

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