Biosynthetic energy cost for amino acids decreases in cancer evolution

Hong Zhang, Yirong Wang, Jun Li, Han Chen, Xionglei He, Huiwen Zhang, Han Liang, Jian Lu

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Rapidly proliferating cancer cells have much higher demand for proteinogenic amino acids than normal cells. The use of amino acids in human proteomes is largely affected by their bioavailability, which is constrained by the biosynthetic energy cost in living organisms. Conceptually distinct from gene-based analyses, we introduce the energy cost per amino acid (ECPA) to quantitatively characterize the use of 20 amino acids during protein synthesis in human cells. By analyzing gene expression data from The Cancer Genome Atlas, we find that cancer cells evolve to utilize amino acids more economically by optimizing gene expression profile and ECPA shows robust prognostic power across many cancer types. We further validate this pattern in an experimental evolution of xenograft tumors. Our ECPA analysis reveals a common principle during cancer evolution.

Original languageEnglish (US)
Article number4124
JournalNature communications
Volume9
Issue number1
DOIs
StatePublished - Dec 1 2018

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry, Genetics and Molecular Biology
  • General Physics and Astronomy

MD Anderson CCSG core facilities

  • Bioinformatics Shared Resource

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