Comparative analysis of histologically classified oligodendrogliomas reveals characteristic molecular differences between subgroups.

ABSTRACT:

Background

Molecular data of histologically classified oligodendrogliomas are available offering the possibility to stratify these human brain tumors into clinically relevant molecular subtypes.

Methods

Gene copy number, mutation, and expression data of 193 histologically classified oligodendrogliomas from The Cancer Genome Atlas (TCGA) were analyzed by well-established computational approaches (unsupervised clustering, statistical testing, network inference).

Results

We applied hierarchical clustering to tumor gene copy number profiles and revealed three molecular subgroups within histologically classified oligodendrogliomas. We further screened these subgroups for molecular glioma markers (1p/19q co-deletion, IDH mutation, gain of chromosome 7 and loss of chromosome

SUBMITTER: Lauber C 

PROVIDER: S-EPMC5892046 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature