Improved prognostication of glioblastoma beyond molecular subtyping by transcriptional profiling of the tumor microenvironment.

ABSTRACT: Glioblastoma (GBM), the most aggressive form of brain cancer, is characterized by a high level of molecular heterogeneity, and infiltration by various immune and stromal cell populations. Important advances have been made in deciphering the microenvironment of GBMs, but its association with existing molecular subtypes and its potential prognostic role remain elusive. We have investigated the abundance of infiltrating immune and stromal cells in silico, from gene expression profiles. Two cohorts, including in-house normal brain and glioma samples (n = 70) and a large sample set from TCGA (n = 393), were combined into a single exploratory dataset. A third independent cohort (n = 124) was used for validation. Tumors were clustered based on their microenvironment infiltration profiles, and ass

SUBMITTER: Jeanmougin M 

PROVIDER: S-EPMC7191188 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature