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Dataset Information

Identification of the novel prognostic biomarker, MLLT11, reveals its relationship with immune checkpoint markers in glioma.


ABSTRACT:

Aim

This study aimed to explore the expression pattern of MLLT11 under different pathological features, evaluate its prognostic value for glioma patients, reveal the relationship between MLLT11 mRNA expression and immune cell infiltration in the tumor microenvironment (TME), and provide more evidence for the molecular diagnosis of glioma and immunotherapy.

Methods

Using large-scale bioinformatic approach and RNA sequencing (RNA-seq) data from public databases The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and The Gene Expression Omnibus (GEO)), we investigated the relationship between MLLT11 mRNA levels and pathologic characteristics. The distribution in the different subtypes was observed based on Verhaak bulk and Neftel single-cell

SUBMITTER: Chen L 

PROVIDER: S-EPMC9414891 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature