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Nature and Nurture: What Determines Tumor Metabolic Phenotypes?
Mayers, Jared R; Vander Heiden, Matthew G.
Afiliación
  • Mayers JR; Koch Institute for Integrative Cancer Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Vander Heiden MG; Koch Institute for Integrative Cancer Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts. mvh@mit.edu.
Cancer Res ; 77(12): 3131-3134, 2017 06 15.
Article en En | MEDLINE | ID: mdl-28584183
ABSTRACT
Understanding the genetic basis of cancer has led to therapies that target driver mutations and has helped match patients with more personalized drugs. Oncogenic mutations influence tumor metabolism, but other tumor characteristics can also contribute to their metabolic phenotypes. Comparison of isogenic lung and pancreas tumor models suggests that use of some metabolic pathways is defined by lineage rather than by driver mutation. Lung tumors catabolize circulating branched chain amino acids (BCAA) to extract nitrogen for nonessential amino acid and nucleotide synthesis, whereas pancreatic cancer obtains amino acids from catabolism of extracellular protein. These differences in amino acid metabolism translate into distinct pathway dependencies, as genetic disruption of the enzymes responsible for utilization of BCAA nitrogen limits the growth of lung tumors, but not pancreatic tumors. These data argue that some cancer metabolic phenotypes are defined by cancer tissue-of-origin and environment and that these features constrain the influence of genetic mutations on metabolism. A better understanding of the factors defining tumor nutrient utilization could be exploited to help improve cancer therapy. Cancer Res; 77(12); 3131-4. ©2017 AACR.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes y Vías Metabólicas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cancer Res Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes y Vías Metabólicas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cancer Res Año: 2017 Tipo del documento: Article