Abstract

Mutational activation of KRAS promotes the initiation and progression of cancers, especially in the colorectum, pancreas, lung, and blood plasma, with varying prevalence of specific activating missense mutations. Although epidemiological studies connect specific alleles to clinical outcomes, the mechanisms underlying the distinct clinical characteristics of mutant KRAS alleles are unclear. Here, we analyze 13,492 samples from these four tumor types to examine allele- and tissue-specific genetic properties associated with oncogenic KRAS mutations. The prevalence of known mutagenic mechanisms partially explains the observed spectrum of KRAS activating mutations. However, there are substantial differences between the observed and predicted frequencies for many alleles, suggesting that biological selection underlies the tissue-specific frequencies of mutant alleles. Consistent with experimental studies that have identified distinct signaling properties associated with each mutant form of KRAS, our genetic analysis reveals that each KRAS allele is associated with a distinct tissue-specific comutation network. Moreover, we identify tissue-specific genetic dependencies associated with specific mutant KRAS alleles. Overall, this analysis demonstrates that the genetic interactions of oncogenic KRAS mutations are allele- and tissue-specific, underscoring the complexity that drives their clinical consequences.

The KRAS gene is often mutated at several hotspot codons in cancer, resulting in similar, yet distinct, functional impacts on the KRAS protein. Here, the authors examine the genetic interactions of the different KRAS mutations across multiple cancer types and discover that KRAS mutations have allele- and tissue-specific mutagenic origins, comutation patterns, and dependency interactions.

Details

Title
The origins and genetic interactions of KRAS mutations are allele- and tissue-specific
Author
Cook, Joshua H 1   VIAFID ORCID Logo  ; Melloni Giorgio E M 2   VIAFID ORCID Logo  ; Gulhan, Doga C 2 ; Park, Peter J 2   VIAFID ORCID Logo  ; Haigis, Kevin M 3   VIAFID ORCID Logo 

 Dana-Farber Cancer Institute, Department of Cancer Biology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard Medical School, Department of Biomedical Informatics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Harvard Medical School, Department of Biomedical Informatics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Dana-Farber Cancer Institute, Department of Cancer Biology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Broad Institute, Cambridge, USA (GRID:grid.66859.34); Harvard Medical School, Harvard Digestive Disease Center, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2503525489
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.