A 5-gene prognostic nomogram predicting survival probability of glioblastoma patients.

ABSTRACT:

Background

Glioblastoma (GBM) remains the most biologically aggressive subtype of gliomas with an average survival of 10 to 12 months. Considering that the overall survival (OS) of each GBM patient is a key factor in the treatment of individuals, it is meaningful to predict the survival probability for GBM patients newly diagnosed in clinical practice.

Material and methods

Using the TCGA dataset and two independent GEO datasets, we identified genes that are associated with the OS and differentially expressed between GBM tissues and the adjacent normal tissues. A robust likelihood-based survival modeling approach was applied to select the best genes for modeling. After the prognostic nomogram was generated, an independent dataset on different platform was used to evaluate its

SUBMITTER: Wang L 

PROVIDER: S-EPMC6456771 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature