Cancers adapt to their mutational load by buffering protein misfolding stress
Abstract
In asexual populations that dont undergo recombination, such as cancer, deleterious mutations are expected to accrue readily due to genome-wide linkage between mutations. Despite this mutational load of often thousands of deleterious mutations, many tumors thrive. How tumors survive the damaging consequences of this mutational load is not well understood. Here, we investigate the functional consequences of mutational load in 10,295 human tumors by quantifying their phenotypic response through changes in gene expression. Using a generalized linear mixed model (GLMM), we find that high mutational load tumors up-regulate proteostasis machinery related to the mitigation and prevention of protein misfolding. We replicate these expression responses in cancer cell lines and show that the viability in high mutational load cancer cells is strongly dependent on complexes that degrade and refold proteins. This indicates that upregulation of proteostasis machinery is causally important for high mutational burden tumors and uncovers new therapeutic vulnerabilities. Statement of SignificanceCancers can successfully survive an accumulation of thousands of protein-damaging mutations. Here, we show that high mutational load tumors mitigate these damaging consequences by up-regulating complexes that buffer against protein misfolding stress - providing novel therapeutic vulnerabilities and suggesting that disruption of proteostasis is a hallmark of somatic evolution.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genetic load and mutational meltdown in cancer cell populations
- A stress response that allows highly mutated eukaryotic cells to survive and proliferate
Rebecca A. Zabinsky, Jonathan Mares, … Daniel F. Jarosz·bioRxiv·Jan 9, 2019
- A tug-of-war between driver and passenger mutations in cancer and other adaptive processes
Christopher Dennis McFarland, Leonid A Mirny, Kirill S Korolev·bioRxiv·Feb 26, 2014
- Criticality in Tumor Evolution and Clinical Outcome
E. Persi, Y. I. Wolf, … E. Ruppin·bioRxiv·May 3, 2018
- Pan-cancer analysis reveals mtDNA copy number as a key determinant of mutational load and disease progression in cancer
Anamika Acharyya, Riddhiman Dhar·bioRxiv·Nov 18, 2025
- Mutation Impact on mRNA Versus Protein Expression across Human Cancers
Yuqi Liu, Abdülkadir Elmas, Kuan‐lin Huang·GigaSciencePeer-reviewed·Dec 5, 2024