Automatic Integration of Clinical and Genetic Data Using cBioPortal

Area of Science:

• Bioinformatics
• Genomics
• Oncology
• Precision Medicine

Background:

• Precision medicine utilizes individual genetic profiles for enhanced healthcare.
• Genomic data is crucial for tailoring cancer treatments.
• Integrating diverse data sources is essential for precision medicine's success.

Purpose of the Study:

• To implement a bioinformatic process for integrating patient genomic and clinical data.
• To support the "Map of Tumor Genomic Actionability of Argentina" project.

Main Methods:

• Utilized REDCap for data capture and a custom tool for processing/annotation.
• Integrated genomic data from two molecular biology labs with electronic medical records.
• Employed cBioPortal for visualization and analysis of integrated data.

Main Results:

• Successfully implemented a bioinformatic pipeline for data integration.
• Enabled the combination of genomic and clinical information from multiple sources.
• Facilitated the inclusion of processed data into cBioPortal for analysis.

Conclusions:

• The developed process effectively integrates genomic and clinical data for precision oncology.
• This integration is vital for advancing the understanding of tumor genomic actionability.
• The methodology supports interdisciplinary and translational research in cancer care.