Development of a membrane lipid metabolism–based signature to predict overall survival for personalized medicine in ccRCC patients
Author:
Funder
Zhejiang Provincial Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry (medical),Health Policy,Drug Discovery
Link
http://link.springer.com/content/pdf/10.1007/s13167-019-00189-8.pdf
Reference32 articles.
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3. Varela I, Tarpey P, Raine K, Huang D, Ong CK, Stephens P, et al. Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma. Nature. 2011;469(7331):539.
4. Dalgliesh GL, Furge K, Greenman C, Chen L, Bignell G, Butler A, et al. Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes. Nature. 2010;463(7279):360.
5. Du W, Zhang L, Brett-Morris A, Aguila B, Kerner J, Hoppel CL, et al. HIF drives lipid deposition and cancer in ccRCC via repression of fatty acid metabolism. Nat Commun. 2017;8(1):1769.
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