Cited by 407Cancer, Hypoxia, and MetabolismBioinformatics and Genomic NetworksCancer, Lipids, and Metabolism

Heterogeneity of tumor-induced gene expression changes in the human metabolic network

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Hu, Jie, Locasale, Jason W, Bielas, Jason H, O'Sullivan, Jacintha, Sheahan, Kieran, Cantley, Lewis C, Heiden, Matthew G Vander, Vitkup, Dennis·2013·Nature Biotechnology

Abstract

Reprogramming of cellular metabolism is an emerging hallmark of neoplastic transformation. However, it is not known how the expression of metabolic genes in tumors differs from that in normal tissues, or whether different tumor types exhibit similar metabolic changes. Here we compare expression patterns of metabolic genes across 22 diverse types of human tumors. Overall, the metabolic gene expression program in tumors is similar to that in the corresponding normal tissues. Although expression changes of some metabolic pathways (e.g., upregulation of nucleotide biosynthesis and glycolysis) are frequently observed across tumors, expression changes of other pathways (e.g., oxidative phosphorylation) are very heterogeneous. Our analysis also suggests that the expression changes of some metabolic genes (e.g., isocitrate dehydrogenase and fumarate hydratase) may enhance or mimic the effects of recurrent mutations in tumors. On the level of individual biochemical reactions, many hundreds of metabolic isoenzymes show significant and tumor-specific expression changes. These isoenzymes are potential targets for anticancer therapy.

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  • Metabolic gene expression signatures are more similar to the tissue of origin than to tumors from different organs.

    “Gene expression signatures focused on the metabolic network also bear more similarity to the tissue of origin than to tumors from different organs (4).”

    From Metabolic reprogramming and cancer progression (2020) · cites this paper as [4]

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Authors
Hu, J., Locasale, J. W., Bielas, J. H., O'Sullivan, J., Sheahan, K., Cantley, L. C., Heiden, M. G. V., & Vitkup, D.
Affiliations
  • Columbia University (US)
  • Cornell University (US)
  • University of Washington (US)
  • St. Vincent's University Hospital (IE)
  • Beth Israel Deaconess Medical Center (US)
  • Dana-Farber Cancer Institute (US)
Corresponding author
Vitkup, Dennis
Venue
Nature Biotechnology
Published
2013-04-21
Volume
31
Issue
6
Pages
522-529
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2003605385
Cited by
407
References
51
Citations by year
2026: 10 · 2025: 16 · 2024: 29 · 2023: 25 · 2022: 29 · 2021: 44 · 2020: 42 · 2019: 40 · 2018: 37 · 2017: 34 · 2016: 36 · 2015: 37 · 2014: 20 · 2013: 7
FWCI
11.71
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
  • PMC
Funders
  • Burroughs Wellcome Fund
  • Damon Runyon Cancer Research Foundation
  • National Cancer Institute (R00CA168997, U54CA121852)
  • National Institute of General Medical Sciences (GM079759, R01GM079759)
  • National Institute of Environmental Health Sciences (R01ES019319)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
Keywords
cancer metabolism, metabolic gene expression, metabolic reprogramming, tumor heterogeneity, metabolic networks, glycolysis, oxidative phosphorylation, nucleotide synthesis, isocitrate dehydrogenase, fumarate hydratase, anticancer drug targets
MeSH terms
Cell Transformation, Neoplastic, Glycolysis, Humans, Isocitrate Dehydrogenase, Isoenzymes, Mutation, Neoplasms, Oxidative Phosphorylation, Gene Expression Regulation, Neoplastic, Computational Biology, Oligonucleotide Array Sequence Analysis, Metabolic Networks and Pathways, Molecular Targeted Therapy

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