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Proteogenomic data and resources for pan-cancer analysis
Yize Li1, Yongchao Dou2, Felipe Da Veiga Leprevost3
1Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA.
Cancer Cell
|August 15, 2023
Summary
The National Cancer Institute
Area of Science:
- Oncology
- Genomics
- Proteomics
- Bioinformatics
Background:
- The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) generates multi-omics data to link genomic changes to cancer.
- Understanding cancer requires integrating diverse data types like genomics and proteomics.
Purpose of the Study:
- To create a harmonized, pan-cancer dataset for over 1000 tumors across 10 cohorts.
- To facilitate multi-omics data integration and analysis for cancer research.
- To support biological discoveries through comprehensive proteogenomic data.
Main Methods:
- Harmonization of genomic, transcriptomic, proteomic, and clinical data.
- Generation of a large-scale, multi-cohort dataset (>1000 tumors).
- Development of data dissemination and computational resources.
Main Results:
- A cohesive and powerful dataset for pan-cancer investigations has been generated.
- Efforts in data harmonization and dissemination by the CPTAC pan-cancer working group are outlined.
- Computational resources are being provided to aid biological discoveries.
Conclusions:
- The harmonized multi-omics dataset enables comprehensive pan-cancer research.
- Addressing challenges in multi-omics data integration, particularly with proteomics data, is crucial.
- CPTAC's efforts advance the understanding of cancer through proteogenomics.
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