Tissue of origin dictates branched-chain amino acid metabolism in mutant<i>Kras</i>-driven cancers

Jared R. Mayers(Massachusetts Institute of Technology), Margaret E. Torrence(Massachusetts Institute of Technology), Laura V. Danai(Massachusetts Institute of Technology), Thales Papagiannakopoulos(Massachusetts Institute of Technology), Shawn M. Davidson(Massachusetts Institute of Technology), Matthew R. Bauer(Massachusetts Institute of Technology), Allison N. Lau(Massachusetts Institute of Technology), Brian W. Ji(Columbia University), Purushottam D. Dixit(Columbia University), Aaron M. Hosios(Massachusetts Institute of Technology), Alexander Muir(Massachusetts Institute of Technology), Christopher R. Chin(Massachusetts Institute of Technology), Elizaveta Freinkman(Broad Institute), Tyler Jacks(Howard Hughes Medical Institute), Brian M. Wolpin(Dana-Farber Cancer Institute), Dennis Vitkup(Columbia University), Matthew G. Vander Heiden(Broad Institute)
Science
September 8, 2016
Cited by 570Open Access
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Abstract

Tumor genetics guides patient selection for many new therapies, and cell culture studies have demonstrated that specific mutations can promote metabolic phenotypes. However, whether tissue context defines cancer dependence on specific metabolic pathways is unknown. Kras activation and Trp53 deletion in the pancreas or the lung result in pancreatic ductal adenocarinoma (PDAC) or non-small cell lung carcinoma (NSCLC), respectively, but despite the same initiating events, these tumors use branched-chain amino acids (BCAAs) differently. NSCLC tumors incorporate free BCAAs into tissue protein and use BCAAs as a nitrogen source, whereas PDAC tumors have decreased BCAA uptake. These differences are reflected in expression levels of BCAA catabolic enzymes in both mice and humans. Loss of Bcat1 and Bcat2, the enzymes responsible for BCAA use, impairs NSCLC tumor formation, but these enzymes are not required for PDAC tumor formation, arguing that tissue of origin is an important determinant of how cancers satisfy their metabolic requirements.


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