Unknown

Dataset Information

Prognosis and clinical features analysis of EMT-related signature and tumor Immune microenvironment in glioma.


ABSTRACT:

Background

As the most common primary malignant intracranial tumor, glioblastoma has a poor prognosis with limited treatment options. It has a high propensity for recurrence, invasion, and poor immune prognosis due to the complex tumor microenvironment.

Methods

Six groups of samples from four datasets were included in this study. We used consensus ClusterPlus to establish two subgroups by the EMT-related gene. The difference in clinicopathological features, genomic characteristics, immune infiltration, treatment response and prognoses were evaluated by multiple algorithms. By using LASSO regression, multi-factor Cox analysis, stepAIC method, a prognostic risk model was constructed based on the final screened genes.

Results

The consensusClusterPlus analyses revealed tw

SUBMITTER: Xiao Z 

PROVIDER: S-EPMC9920870 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature