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Dataset Information

Single cell sequencing revealed the mechanism of CRYAB in glioma and its diagnostic and prognostic value.


ABSTRACT:

Background

We explored the characteristics of single-cell differentiation data in glioblastoma and established prognostic markers based on CRYAB to predict the prognosis of glioblastoma patients. Aberrant expression of CRYAB is associated with invasive behavior in various tumors, including glioblastoma. However, the specific role and mechanisms of CRYAB in glioblastoma are still unclear.

Methods

We assessed RNA-seq and microarray data from TCGA and GEO databases, combined with scRNA-seq data on glioma patients from GEO. Utilizing the Seurat R package, we identified distinct survival-related gene clusters in the scRNA-seq data. Prognostic pivotal genes were discovered through single-factor Cox analysis, and a prognostic model was established using LASSO and stepwise regressio

SUBMITTER: Cai HB 

PROVIDER: S-EPMC10808695 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature