bioRxivCancer BiologyPreprint
Comprehensive structure-function analysis reveals gain- and loss-of-function mechanisms impacting oncogenic KRAS activity
Jason J. KwoniD, Julien DillyiD, Shengwu Liu, Eejung KimiD, Yuemin BianiD, Srisathiyanarayanan DharmaiahiD, Timothy H. TraniD, Kevin S. KapneriD, Seav Huong Ly, Xiaoping YangiD, Dana RabaraiD, Timothy J. WaybrightiD, Andrew O. GiacomelliiD, Andrew Lee HongiD, Sean A. MisekiD, Belinda WangiD, Arvind RaviiD, John G. DoenchiD, Rameen BeroukhimiD, Christopher T. LemkeiD, Kevin M. HaigisiD, Dominic EspositoiD, David E. RootiD, Dwight V. NissleyiD, Andrew G. StepheniD, , Andrew J. AguirreiD
Abstract
To dissect variant-function relationships in the KRAS oncoprotein, we performed deep mutational scanning (DMS) screens for both wild-type and KRASG12D mutant alleles. We defined the spectrum of oncogenic potential for nearly all possible KRAS variants, identifying several novel transforming alleles and elucidating a model to describe the frequency of KRAS mutations in human cancer as a function of transforming potential, mutational probability, and tissue-specific mutational signatures. Biochemical and structural analyses of variants identified in a KRASG12D second-site suppressor DMS screen revealed that attenuation of oncogenic KRAS can be mediated by protein instability and conformational rigidity, resulting in reduced binding affinity to effector proteins, such as RAF and PI3-kinases, or reduced SOS-mediated nucleotide exchange activity. These studies define the landscape of single amino acid alterations that modulate the function of KRAS, providing a resource for the clinical interpretation of KRAS variants and elucidating mechanisms of oncogenic KRAS inactivation for therapeutic exploitation.
- organism: human
- assay: proteomics
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
- Citations
- 13
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