Cancer metabolism: What we can learn from proteomic analysis by mass spectrometry

Weidong Zhou*, Lance A. Liotta, Emanuel F. Petricoin

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations


A variety of genomic and proteomic tools have been used to study cancer metabolism and metabolomics in order to understand how cancer cells survive in their environment. Throughout the past decade, mass spectrometry has been routinely used for large-scale protein identification of complex biological mixtures. In this review, we discuss some recent developments in cancer metabolism by proteomic analysis using mass spectrometric techniques, focusing on pyruvate kinase, L-lactate dehydrogenase, Warburg effect, glutamine metabolism and oxidative stress.

Original languageEnglish
Pages (from-to)373-382
Number of pages10
JournalCancer Genomics and Proteomics
Issue number6
StatePublished - 2012
Externally publishedYes


  • Cancer metabolism
  • Mass spectrometry
  • Oxidative stress
  • Review
  • Warburg effect


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