Amino acid metabolism-related gene expression-based risk signature can better predict overall survival for glioma.

ABSTRACT: Metabolic reprogramming has been proposed to be a hallmark of cancer. Aside from the glycolytic pathway, the metabolic changes of cancer cells primarily involve amino acid metabolism. However, in glioma, the characteristics of the amino acid metabolism-related gene set have not been systematically profiled. In the present study, RNA sequencing expression data from 309 patients in the Chinese Glioma Genome Atlas database were included as a training set, while another 550 patients within The Cancer Genome Atlas database were used to validate. Consensus clustering of the 309 samples yielded two robust groups. Compared with Cluster1, Cluster2 correlated with a better clinical outcome. We then developed an amino acid metabolism-related risk signature for glioma. Our results showed that patients

SUBMITTER: Liu YQ 

PROVIDER: S-EPMC6317920 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature