Personalized cancer therapy-leveraging a knowledge base for clinical decision-making

Area of Science:

• Oncology
• Genomics
• Bioinformatics

Background:

• Next-generation sequencing (NGS) is increasingly used in cancer care, generating vast amounts of genomic data.
• Interpreting complex genomic reports and rapidly emerging translational data challenges oncologists in selecting optimal treatments.
• Personalized cancer therapy requires integrating genomic information with clinical data for treatment decisions.

Purpose of the Study:

• To introduce a knowledge base designed to aid oncologists in interpreting genomic alterations.
• To provide information on the functional impact and therapeutic implications of common genomic alterations.
• To facilitate the identification of genomically matched therapies for individual cancer patients.

Main Methods:

• Development of a comprehensive knowledge base by The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy (IPCT).
• Curation of information on common genomic alterations and their associated therapeutic implications.
• Web-based accessibility of the knowledge base for healthcare providers.

Main Results:

• The knowledge base consolidates functional and therapeutic information for genomic alterations.
• It serves as a resource for understanding the implications of tumor genomic analysis.
• The platform aims to simplify the process of identifying genomically matched treatments.

Conclusions:

• Genomic information, when organized and accessible, empowers oncologists to make more informed treatment choices.
• The developed knowledge base supports personalized cancer therapy by linking genomic findings to actionable treatment strategies.
• This resource aids healthcare providers in navigating the complexities of genomic-guided oncology.