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Cancers adapt to their mutational load by buffering protein misfolding stress

View ORCID ProfileSusanne Tilk, View ORCID ProfileJudith Frydman, View ORCID ProfileChristina Curtis, View ORCID ProfileDmitri Petrov
doi: https://doi.org/10.1101/2022.06.08.495407
Susanne Tilk
1Department of Biology, Stanford University, Stanford, CA, USA
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  • For correspondence: tilk@stanford.edu cncurtis@stanford.edu petrov@stanford.edu
Judith Frydman
1Department of Biology, Stanford University, Stanford, CA, USA
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Christina Curtis
2Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
3Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
4Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
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  • For correspondence: tilk@stanford.edu cncurtis@stanford.edu petrov@stanford.edu
Dmitri Petrov
1Department of Biology, Stanford University, Stanford, CA, USA
4Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
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  • For correspondence: tilk@stanford.edu cncurtis@stanford.edu petrov@stanford.edu
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Abstract

In asexual populations that don’t 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.

Competing Interest Statement

C.C. is an advisor and stockholder in Grail, Ravel, DeepCell and an advisor to Genentech, Bristol Myers Squibb, 3T Biosciences and NanoString. D.A.P. is a founder of, and stockholder equity in, D2G Oncology 42 Inc.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 10, 2022.
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Cancers adapt to their mutational load by buffering protein misfolding stress
Susanne Tilk, Judith Frydman, Christina Curtis, Dmitri Petrov
bioRxiv 2022.06.08.495407; doi: https://doi.org/10.1101/2022.06.08.495407
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Cancers adapt to their mutational load by buffering protein misfolding stress
Susanne Tilk, Judith Frydman, Christina Curtis, Dmitri Petrov
bioRxiv 2022.06.08.495407; doi: https://doi.org/10.1101/2022.06.08.495407

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