Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

Pan-Cancer Metabolism Data Explorer

General information

URL: http://www.sanderlab.org/pancanmet
Full name: Pan-Cancer Metabolism Data Explorer
Description: Pan-Cancer Metabolism Data Explorer, is 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.
Year founded: 2018
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
NA
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Keywords:

Contact information

University/Institution: Dana-Farber Cancer Institute
Address: cBio Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
City: Boston
Province/State:
Country/Region: United States
Contact name (PI/Team): Chris Sander
Contact email (PI/Helpdesk): sander.research@gmail.com

Publications

29396322
A Landscape of Metabolic Variation across Tumor Types. [PMID: 29396322]
Ed Reznik, Augustin Luna, Bülent Arman Aksoy, Eric Minwei Liu, Konnor La, Irina Ostrovnaya, Chad J Creighton, A Ari Hakimi, Chris Sander

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).

Cell Syst. 2018:6(3) | 128 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
838/6895 (87.861%)
Genotype phenotype and variation:
109/1005 (89.254%)
Structure:
106/967 (89.142%)
Health and medicine:
208/1738 (88.09%)
838
Total Rank
125
Citations
17.857
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Record metadata

Created on: 2019-10-23
Curated by:
Amjad Ali [2019-11-14]
irfan Hussain [2019-10-23]