A landscape of metabolic variation across tumor types Journal Article

   


Authors: Reznik, E.; Luna, A.; Aksoy, B. A.; Liu, E. M.; La, K.; Ostrovnaya, I.; Creighton, C. J.; Hakimi, A. A.; Sander, C.
Article Title: A landscape of metabolic variation across tumor types
Abstract: 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). Reznik et al. develop a computational approach for integrative analysis of metabolomics data and apply it to data from 900 tissue samples spanning seven different cancer types. They identify recurrent metabolic changes associated with tumor initiation and progression to aggressive disease. © 2017 Elsevier Inc.
Keywords: genomics; tumor; meta-analysis; metabolomics; clinical data; cancer metabolism
Journal Title: Cell Systems
Volume: 6
Issue: 3
ISSN: 2405-4712
Publisher: Cell Press  
Date Published: 2018-03-28
Start Page: 301
End Page: 313.e3
Language: English
DOI: 10.1016/j.cels.2017.12.014
PROVIDER: scopus
PMCID: PMC5876114
PUBMED: 29396322
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040985681&doi=10.1016%2fj.cels.2017.12.014&partnerID=40&md5=e380243b3bb726089bd052c614d1f4d6
Notes: Article -- Export Date: 1 May 2018 -- Source: Scopus
Altmetric
What is Altmetric?
Citation Impact
What is Dimensions Citation Badge?
BMJ Impact Analytics
MSK Authors
  1. Irina Ostrovnaya
    196 Ostrovnaya
  2. Chris Sander
    210 Sander
  3. Abraham Ari Hakimi
    324 Hakimi
  4. Eduard Reznik
    103 Reznik
  5. Konnor C La
    9 La
Related MSK Work