A Landscape of Metabolic Variation across Tumor Types.

TitleA Landscape of Metabolic Variation across Tumor Types.
Publication TypeJournal Article
Year of Publication2018
AuthorsReznik, E, Luna, A, Aksoy, BArman, Liu, EMinwei, La, K, Ostrovnaya, I, Creighton, CJ, A Hakimi, A, Sander, C
JournalCell Syst
Date Published2018 Mar 28
KeywordsAlgorithms, Computational Biology, Humans, Metabolomics, Neoplasms, Software

Tumor metabolism is reorganized to support proliferation in the face of growth-related stress. Unlike the widespread profiling of changes to metabolic enzyme levels in cancer, comparatively less attention has been paid to the substrates/products of enzyme-catalyzed reactions, small-molecule metabolites. We developed an informatic pipeline to concurrently analyze metabolomics data from over 900 tissue samples spanning seven cancer types, revealing extensive heterogeneity in metabolic changes relative to normal tissue across cancers of different tissues of origin. Despite this heterogeneity, a number of metabolites were recurrently differentially abundant across many cancers, such as lactate and acyl-carnitine species. Through joint analysis of metabolomic data alongside clinical features of patient samples, we also identified a small number of metabolites, including several polyamines and kynurenine, which were associated with aggressive tumors across several tumor types. Our findings offer a glimpse onto common patterns of metabolic reprogramming across cancers, and the work serves as a large-scale resource accessible via a web application (http://www.sanderlab.org/pancanmet).

Alternate JournalCell Syst
PubMed ID29396322
PubMed Central IDPMC5876114
Grant ListP41 GM103504 / GM / NIGMS NIH HHS / United States
P30 CA008748 / CA / NCI NIH HHS / United States
P30 CA125123 / CA / NCI NIH HHS / United States
F32 CA192901 / CA / NCI NIH HHS / United States
T32 CA082088 / CA / NCI NIH HHS / United States