Metabolic expression profiling stratifies diffuse lower-grade glioma into three distinct tumour subtypes.

ABSTRACT:

Background

Lower-grade gliomas (LGGs) show highly metabolic heterogeneity and adaptability. To develop effective therapeutic strategies targeting metabolic processes, it is necessary to identify metabolic differences and define metabolic subtypes. Here, we aimed to develop a classification system based on metabolic gene expression profile in LGGs.

Methods

The metabolic gene profile of 402 diffuse LGGs from the Cancer Genome Atlas (TCGA) was used for consensus clustering to determine robust clusters of patients, and the reproducibility of the classification system was evaluated in three Chinese Glioma Genome Atlas (CGGA) cohorts. Then, the metadata set for clinical characteristics, immune infiltration, metabolic signatures and somatic alterations was integrated to characteris

SUBMITTER: Wu F 

PROVIDER: S-EPMC8292364 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature