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  Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for metabolism in the chemosensitivity of tumour cells

Cavill, R., Kamburov, A., Ellis, J. K., Athersuch, T. J., Blagrove, M. S., Herwig, R., et al. (2011). Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for metabolism in the chemosensitivity of tumour cells. PLoS Computational Biology, 7(3), e1001113. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/21483477 http://www.ploscompbiol.org/article/fetchObjectAttachment.action?uri=info%3Adoi%2F10.1371%2Fjournal.pcbi.1001113&representation=PDF.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-788C-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-788D-5
Genre: Journal Article

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Cavill, R., Author
Kamburov, A.1, Author              
Ellis, J. K., Author
Athersuch, T. J., Author
Blagrove, M. S., Author
Herwig, R., Author
Ebbels, T. M., Author
Keun, H. C., Author
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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Free keywords: Antineoplastic Agents/*pharmacology; Biological Markers/chemistry; Carboplatin/pharmacology; Cell Line, Tumor; Cisplatin/pharmacology; Computational Biology/methods; Drug Screening Assays, Antitumor; False Positive Reactions; Humans; Lipoproteins/metabolism; Metabolomics; Neoplasms/*metabolism; Oligonucleotide Array Sequence Analysis; Organoplatinum Compounds/pharmacology; Phenotype; *Transcription, Genetic
 Abstract: Using transcriptomic and metabolomic measurements from the NCI60 cell line panel, together with a novel approach to integration of molecular profile data, we show that the biochemical pathways associated with tumour cell chemosensitivity to platinum-based drugs are highly coincident, i.e. they describe a consensus phenotype. Direct integration of metabolome and transcriptome data at the point of pathway analysis improved the detection of consensus pathways by 76%, and revealed associations between platinum sensitivity and several metabolic pathways that were not visible from transcriptome analysis alone. These pathways included the TCA cycle and pyruvate metabolism, lipoprotein uptake and nucleotide synthesis by both salvage and de novo pathways. Extending the approach across a wide panel of chemotherapeutics, we confirmed the specificity of the metabolic pathway associations to platinum sensitivity. We conclude that metabolic phenotyping could play a role in predicting response to platinum chemotherapy and that consensus-phenotype integration of molecular profiling data is a powerful and versatile tool for both biomarker discovery and for exploring the complex relationships between biological pathways and drug response.

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 Dates: 2011
 Publication Status: Published in print
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Title: PLoS Computational Biology
Source Genre: Journal
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Pages: - Volume / Issue: 7 (3) Sequence Number: - Start / End Page: e1001113 Identifier: ISSN: 1553-7358 (Electronic) 1553-734X (Linking)