Unknown

Dataset Information

Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma Multiforme.


ABSTRACT:

Background

Gliomas are the most common intracranial tumors and are classified as I-IV. Among them, glioblastoma multiforme (GBM) is the most common invasive glioma with a poor prognosis. New molecular biomarkers that can predict clinical outcomes in GBM patients must be identified, which will help comprehend their pathogenesis and supply personalized treatment. Our research revealed four powerful survival indicators in GBM by reanalyzing microarray data and genetic sequencing data in public databases. Moreover, it unraveled new potential therapeutic targets which could help improve the survival time and quality of life of GBM patients.

Materials and methods

To identify prognostic signatures in GBMs, we analyzed the gene profiling data of GBM and standard brain samples from t

SUBMITTER: Yang J 

PROVIDER: S-EPMC7136556 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature