MutEx: a multifaceted gateway for exploring integrative pan-cancer genomic data

Area of Science:

• Genomics
• Cancer Biology
• Bioinformatics

Background:

• Somatic mutations and gene expression changes are key drivers of cancer.
• Previous studies on their interplay are limited and lack systematic approaches.

Purpose of the Study:

• To develop MutEx, an integrated genomic database for pan-cancer analysis of somatic mutations and gene expression.
• To provide a resource for exploring relationships between genomic alterations, gene expression, and patient survival.
• To support hypothesis generation and functional annotation in cancer research.

Main Methods:

• Collected and integrated genomic, transcriptomic, and survival data from 11,315 cancer patients across 33 types.
• Incorporated Gene Ontology and pathway databases for functional enrichment.
• Utilized elastic net and gene expression composite scores for survival analysis.

Main Results:

• Established MutEx, a pan-cancer database detailing somatic mutation-gene expression associations.
• Demonstrated MutEx's utility with examples, including breast cancer mutation-expression links and survival analyses.
• Facilitated exploration of genomic/clinic feature relationships within and across cancer types.

Conclusions:

• MutEx serves as a valuable resource for investigating the complex interplay between somatic mutations and gene expression in tumorigenesis.
• The database enhances functional annotation and aids in survival prediction.
• Enables systematic exploration of cancer genomic data for novel discoveries.