Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling.

ABSTRACT:

Background

Glioma is one of the most common malignant brain tumors and exhibits low resection rate and high recurrence risk. Although a large number of glioma studies powered by high-throughput sequencing technologies have led to massive multi-omics datasets, there lacks of comprehensive integration of glioma datasets for uncovering candidate biomarker genes.

Results

In this study, we collected a large-scale assemble of multi-omics multi-cohort datasets from worldwide public resources, involving a total of 16,939 samples across 19 independent studies. Through comprehensive molecular profiling across different datasets, we revealed that PRKCG (Protein Kinase C Gamma), a brain-specific gene detectable in cerebrospinal fluid, is closely associated with glioma. Specifically, it

SUBMITTER: Liu L 

PROVIDER: S-EPMC7294636 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature