Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas

Area of Science:

• Proteomics
• Bioinformatics
• Cancer Research

Background:

• Reverse-phase protein arrays (RPPA) are crucial for functional proteomic analysis in cancer.
• Large-scale RPPA data requires accessible platforms for community-based investigation.
• Understanding protein expression is key to developing novel cancer therapies.

Purpose of the Study:

• To develop a user-friendly, open-access bioinformatic resource for large-scale proteomic data.
• To facilitate the exploration and analysis of RPPA data from patient tumors and cancer cell lines.
• To support hypothesis generation for cancer research and therapeutic development.

Main Methods:

• Development of The Cancer Proteome Atlas (TCPA) web portal.
• Integration of RPPA data from The Cancer Genome Atlas and other patient cohorts (>8,000 samples, 32 cancer types).
• Inclusion of RPPA data for over 650 cancer cell lines across 19 lineages, with associated genomic, transcriptomic, and drug screening data.

Main Results:

• TCPA provides two distinct web applications for tumor and cell line RPPA data.
• The resource offers comprehensive datasets for extensive cancer research.
• Integrated analytic and visualization modules enable intuitive data exploration.

Conclusions:

• TCPA serves as a valuable community resource for cancer proteomic data analysis.
• The platform empowers researchers to generate testable hypotheses for cancer mechanisms and therapies.
• Facilitates efficient and effective investigation of complex cancer proteomes.