Journal article

Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers

Xinxin Peng, Zhongyuan Chen, Farshad Farshidfar, Xiaoyan Xu, Philip L Lorenzi, Yumeng Wang, Feixiong Cheng, Lin Tan, Kamalika Mojumdar, Di Du, Zhongqi Ge, Jun Li, George V Thomas, Kivanc Birsoy, Lingxiang Liu, Huiwen Zhang, Zhongming Zhao, Calena Marchand, John N Weinstein, Oliver F Bathe Show all

CELL REPORTS | CELL PRESS | Published : 2018

Abstract

Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with upregulated carbohydrate, nucleotide, and vitamin/cofactor metabolism most consistently correlated with worse prognosis, whereas subtypes with upregulated lipid metabolism showed the opposite. Metabolic subtypes correlated with diverse somatic drivers but exhibited effects convergent on cancer ha..

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Grants

Awarded by U.S. National Institutes of Health


Awarded by Cancer Prevention and Research Institute of Texas


Awarded by NATIONAL CANCER INSTITUTE


Awarded by NATIONAL HUMAN GENOME RESEARCH INSTITUTE


Funding Acknowledgements

This study was supported by grants from the U.S. National Institutes of Health (R01CA175486 and U24CA209851 to H.L., U54HG003273, U54HG003067, U54HG003079, U24CA143799, U24CA143835, U24CA143840, U24CA143843, U24CA143845, U24CA143848, U24CA143858, U24CA143866, U24CA143867, U24CA143882, U24CA143883, U24CA144025, P30CA016672); grants from the Cancer Prevention and Research Institute of Texas (RP140462 to H.L. and RP130397 that supports the Metabolomics Core Facility); and a University of Texas System STARS award (to H.L.). We thank the MD Anderson high-performance computing core facility for computing, Dr. Zahid H. Siddik for providing NCIH1975 cell line, and LeeAnn Chastain for editorial assistance.