Identification of potential biomarkers related to glioma survival by gene expression profile analysis.

ABSTRACT:

Background

Recent studies have proposed several gene signatures as biomarkers for different grades of gliomas from various perspectives. However, most of these genes can only be used appropriately for patients with specific grades of gliomas.

Methods

In this study, we aimed to identify survival-relevant genes shared between glioblastoma multiforme (GBM) and lower-grade glioma (LGG), which could be used as potential biomarkers to classify patients into different risk groups. Cox proportional hazard regression model (Cox model) was used to extract relative genes, and effectiveness of genes was estimated against random forest regression. Finally, risk models were constructed with logistic regression.

Results

We identified 104 key genes that were shared between GBM and LG

SUBMITTER: Hsu JB 

PROVIDER: S-EPMC7402580 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature