Exploration of the radiosensitivity-related prognostic risk signature in patients with glioma: evidence from microarray data.

ABSTRACT:

Background

Gene expression signatures can be used as prognostic biomarkers in various types of cancers. We aim to develop a gene signature for predicting the response to radiotherapy in glioma patients.

Methods

Radio-sensitive and radio-resistant glioma cell lines (M059J and M059K) were subjected to microarray analysis to screen for differentially expressed mRNAs. Additionally, we obtained 169 glioblastomas (GBM) samples and 5 normal samples from The Cancer Genome Atlas (TCGA) database, as well as 80 GBM samples and 4 normal samples from the GSE7696 set. The "DESeq2" R package was employed to identify differentially expressed genes (DEGs) between the normal brain samples and GBM samples. Combining the prognostic-related molecules identified from the TCGA, we developed a radi

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10496232 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature