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Updated: Jun 26, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
Published on: January 22, 2011
The cancer translational research informatics platform.
Patrick McConnell1, Rajesh C Dash, Ram Chilukuri
1SemanticBits, Herndon, Virginia, USA. patrick.mcconnell@semanticbits.com
The Cancer Translational Research Informatics Platform (caTRIP) aggregates clinical and molecular data, enabling secure, standards-compliant data exchange to advance cancer research. This user-friendly tool supports translational research by improving data accessibility and interoperability.
Area of Science:
- Biomedical Informatics
- Translational Cancer Research
Background:
- Proprietary applications hinder cross-institutional clinical and molecular data exchange.
- Lack of standards compliance limits current data aggregation tools.
- The cancer Biomedical Informatics Grid (caBIG) initiative aims to accelerate cancer research.
Purpose of the Study:
- To develop a user-friendly, accessible, and compliant platform for aggregating clinical and molecular data.
- To facilitate data exchange and storage for translational research.
- To ensure regulatory compliance with privacy and security standards.
Main Methods:
- Developed caTRIP using an N-tier architecture with domain services, a distributed query engine, and a graphical user interface.
- Leveraged caGrid infrastructure for compatibility with other caBIG tools.
- Implemented a dual-interface design (Simple and Advanced) for query construction.
- Integrated security features including authentication, authorization, delegation, and an honest broker service for deidentification.
Main Results:
- caTRIP provides a user-friendly interface for constructing complex data queries.
- The platform ensures data security through robust authentication, authorization, and deidentification services.
- caTRIP is built on the caGrid infrastructure, promoting interoperability.
Conclusions:
- caTRIP is currently being deployed at Duke University and other institutions.
- The platform is expected to significantly advance translational research.
- caTRIP facilitates crucial data exchange and storage processes for cancer research.
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