CGGA

CGGA provides multi-dimensional functional genomic and clinical datasets and analytical results to support genomic and prognostic research in gliomas.

Key Features:

• Dataset composition: Contains nearly 2,000 primary and recurrent glioma samples from Chinese cohorts, including whole-exome sequencing (286 samples), mRNA sequencing (1,018 samples), mRNA microarray (301 samples), DNA methylation microarray (159 samples), and microRNA microarray (198 samples).
• Clinical annotation: Includes WHO grade, histological type, critical molecular genetic information, age, sex, chemoradiotherapy status, and survival data.
• Genomic profile types: Provides DNA mutation profiles, mRNA and microRNA expression profiles, and DNA methylation profiles.
• Analytical capabilities: Supports correlation analyses and survival analysis stratified by glioma subtype.

Scientific Applications:

• Pathophysiology research: Enables integrative analyses to investigate glioma pathophysiology.
• Therapeutic research: Supports identification and characterization of therapy-related molecular features in gliomas.
• Prognostic biomarker discovery: Facilitates survival-associated biomarker identification through subtype-stratified survival analyses.
• Comparative analyses: Enables comparison of molecular profiles between primary and recurrent gliomas.

Methodology:

Includes DNA mutation profiling, mRNA and microRNA expression profiling, DNA methylation profiling, correlation analysis, and survival analysis stratified by glioma subtype.