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An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma

Hakimi, A. Ari ; Reznik, Ed ; Lee, Chung-Han ; Creighton, Chad J. ; Brannon, A. Rose ; Luna, Augustin ; Aksoy, B. Arman ; Liu, Eric Minwei ; Shen, Ronglai ; Lee, William ; Chen, Yang ; Stirdivant, Steve M. ; Russo, Paul ; Chen, Ying-Bei ; Tickoo, Satish K. ; Reuter, Victor E. ; Cheng, Emily H. ; Sander, Chris ; Hsieh, James J.

Cancer cell, 2016-01, Vol.29 (1), p.104-116 [Revista revisada por pares]

United States: Elsevier Inc

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Título:
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
Autor: Hakimi, A. Ari ; Reznik, Ed ; Lee, Chung-Han ; Creighton, Chad J. ; Brannon, A. Rose ; Luna, Augustin ; Aksoy, B. Arman ; Liu, Eric Minwei ; Shen, Ronglai ; Lee, William ; Chen, Yang ; Stirdivant, Steve M. ; Russo, Paul ; Chen, Ying-Bei ; Tickoo, Satish K. ; Reuter, Victor E. ; Cheng, Emily H. ; Sander, Chris ; Hsieh, James J.
Materias: Biomarkers, Tumor - genetics ; Carcinoma, Renal Cell - diagnosis ; Carcinoma, Renal Cell - genetics ; Gene Expression Profiling - methods ; Gene Expression Regulation, Neoplastic - genetics ; Genetic Predisposition to Disease - genetics ; Humans ; Kidney Neoplasms - diagnosis ; Kidney Neoplasms - genetics ; Metabolomics - methods ; Neoplasm Staging ; Prognosis
Es parte de: Cancer cell, 2016-01, Vol.29 (1), p.104-116
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descripción: Dysregulated metabolism is a hallmark of cancer, manifested through alterations in metabolites. We performed metabolomic profiling on 138 matched clear cell renal cell carcinoma (ccRCC)/normal tissue pairs and found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. Tumor progression and metastasis were associated with metabolite increases in glutathione and cysteine/methionine metabolism pathways. We develop an analytic pipeline and visualization tool (metabolograms) to bridge the gap between TCGA transcriptomic profiling and our metabolomic data, which enables us to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome. Lastly, expression profiling was performed on a high-glutathione cluster, which corresponds to a poor-survival subgroup in the ccRCC TCGA cohort. [Display omitted] •ccRCC exhibit dysregulated oxidative phosphorylation and amino acid metabolism•Clinical progression of ccRCC manifested with elevated glutathione and dipeptides•Metabolomic clustering of human ccRCC identified distinct high- and low-risk subsets•Metabolograms visualize metabolomic, transcriptomic, and clinical data of ccRCC Using metabolomic profiling, Ari Hakimi et al. show that clear cell renal cell carcinoma is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. They also develop metabolograms to allow integrating the TCGA transcriptomic data with their metabolomic data.
Editor: United States: Elsevier Inc
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An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma

United States: Elsevier Inc

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