| Literature DB >> 29735700 |
Ryan J Davis1,2,3, Mehmet Gönen4,5,6, Daciana H Margineantu1,2, Shlomo Handeli1,2, Jherek Swanger1,2, Pia Hoellerbauer1, Patrick J Paddison1, Haiwei Gu7,8, Daniel Raftery7,8, Jonathan E Grim2, David M Hockenbery1,2, Adam A Margolin4, Bruce E Clurman9,2.
Abstract
The Fbw7 (F-box/WD repeat-containing protein 7) ubiquitin ligase targets multiple oncoproteins for degradation and is commonly mutated in cancers. Like other pleiotropic tumor suppressors, Fbw7's complex biology has impeded our understanding of how Fbw7 mutations promote tumorigenesis and hindered the development of targeted therapies. To address these needs, we employed a transfer learning approach to derive gene-expression signatures from The Cancer Gene Atlas datasets that predict Fbw7 mutational status across tumor types and identified the pathways enriched within these signatures. Genes involved in mitochondrial function were highly enriched in pan-cancer signatures that predict Fbw7 mutations. Studies in isogenic colorectal cancer cell lines that differed in Fbw7 mutational status confirmed that Fbw7 mutations increase mitochondrial gene expression. Surprisingly, Fbw7 mutations shifted cellular metabolism toward oxidative phosphorylation and caused context-specific metabolic vulnerabilities. Our approach revealed unexpected metabolic reprogramming and possible therapeutic targets in Fbw7-mutant cancers and provides a framework to study other complex, oncogenic mutations.Entities:
Keywords: Fbw7; genomics; informatics; metabolism; ubiquitin
Mesh:
Substances:
Year: 2018 PMID: 29735700 PMCID: PMC6003503 DOI: 10.1073/pnas.1718338115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205