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Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma
Ino de Bruijn1,2, Ritika Kundra1, Brooke Mastrogiacomo1
1Memorial Sloan Kettering Cancer Center, New York, New York.
Cancer Research
|September 5, 2023
Summary
International cancer registries provide valuable genomic and clinical data. Enhanced cBioPortal features now enable interactive analysis of linked patient data, aiding cancer research and discovery.
Area of Science:
- Genomics and Bioinformatics
- Oncology
- Data Science
Background:
- International cancer registries collect valuable real-world genomic and clinical data.
- Joint analysis of these diverse datasets presents significant challenges for researchers.
- AACR Project GENIE aggregates data from 19 cancer centers, making over 130,000 patient records publicly available.
Purpose of the Study:
- To enhance the cBioPortal for Cancer Genomics platform to support the analysis of linked clinico-genomic data.
- To enable interactive investigation of longitudinal clinical and genomic information for cancer patients.
- To facilitate discoveries regarding the impact of genomic variants on cancer prognosis and treatment sensitivity.
Main Methods:
- Significant functional enhancements were made to the cBioPortal.
- Features include patient-level visualization of longitudinal clinical and genomic data with timelines.
- New capabilities allow sample selection based on treatment status and survival analysis by treatment regimen.
Main Results:
- The enhanced cBioPortal now supports interactive visualization and analysis of rich, linked clinico-genomic datasets.
- Users can compare molecular and clinical attributes before and after specific treatments.
- Survival analysis can be performed based on individual patient treatment regimens.
Conclusions:
- The improved cBioPortal provides a powerful toolkit for investigating complex cancer clinico-genomic data.
- These enhancements facilitate hypothesis generation and discovery in cancer research.
- The platform effectively supports exploration of data from AACR Project GENIE Biopharma Collaborative and similar initiatives.
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