Mutant p53 controls tumor metabolism and metastasis by regulating PGC-1α

Genes Dev. 2018 Feb 1;32(3-4):230-243. doi: 10.1101/gad.309062.117. Epub 2018 Feb 20.

Abstract

Mutant forms of p53 protein often possess protumorigenic functions, conferring increased survival and migration to tumor cells via their "gain-of-function" activity. Whether and how a common polymorphism in TP53 at amino acid 72 (Pro72Arg; referred to here as P72 and R72) impacts this gain of function has not been determined. We show that mutant p53 enhances migration and metastasis of tumors through the ability to bind and regulate PGC-1α and that this regulation is markedly impacted by the codon 72 polymorphism. Tumor cells with the R72 variant of mutant p53 show increased PGC-1α function along with greatly increased mitochondrial function and metastatic capability. Breast cancers containing mutant p53 and the R72 variant show poorer prognosis compared with P72. The combined results reveal PGC-1α as a novel "gain-of-function" partner of mutant p53 and indicate that the codon 72 polymorphism influences the impact of mutant p53 on metabolism and metastasis.

Keywords: PGC-1α; codon 72; metastasis; mutant p53; oxidative phosphorylation.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / mortality
  • Cell Line, Tumor
  • Cell Movement
  • Female
  • Genes, p53*
  • Hepatocyte Nuclear Factor 4 / metabolism
  • Humans
  • Male
  • Mice
  • Mutation*
  • Neoplasm Invasiveness
  • Neoplasm Metastasis
  • Neoplasms / genetics
  • Neoplasms / metabolism*
  • Neoplasms / pathology
  • Oxidative Phosphorylation
  • Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha / antagonists & inhibitors
  • Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha / metabolism*

Substances

  • HNF4A protein, human
  • Hepatocyte Nuclear Factor 4
  • Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha