Precision oncology in liver cancer

Area of Science:

• Oncology
• Genomics
• Molecular Biology

Background:

• Molecular profiling is standard in oncology, guiding therapeutic decisions based on specific genomic alterations.
• Precision oncology matches mutations to targeted drugs, but response rates are limited, and resistance develops.
• Current approaches often focus on single mutations, overlooking tumor complexity and diverse cellular subpopulations.

Purpose of the Study:

• To review strategies for overcoming challenges in precision oncology.
• To highlight the need for functional insight into cancer genomes for improved treatment prediction.
• To use primary liver cancer as a model for addressing these precision oncology limitations.

Main Methods:

• Review of current precision oncology strategies and their limitations.
• Analysis of the gap between genomic alteration detection and functional understanding.
• Case study focus on primary liver cancer therapeutic challenges.

Main Results:

• The success of precision oncology is hindered by a lack of functional insight into genomic alterations.
• Existing methods fail to interpret complex genomic data from multiple mutations within a tumor.
• Primary liver cancers have limited targeted therapies due to these interpretation challenges.

Conclusions:

• A deeper functional understanding of individual cancer genomes is crucial for effective precision oncology.
• New methods are required to interpret complex genomic data and predict treatment response accurately.
• Addressing these challenges is vital for advancing targeted therapies, particularly in liver cancer.