Holistic cancer genome profiling for every patient

Area of Science:

• Genomics
• Bioinformatics
• Clinical Medicine

Background:

• Technological advancements enable rapid whole genome sequencing (WGS), making it feasible within a day.
• Historically, genomic studies focused on scientific discovery, with limited clinical application of cancer WGS insights.
• The potential for vast data generation from genomic studies is increasing.

Purpose of the Study:

• To explore the insights obtainable from holistic whole cancer genome profiling.
• To advocate for the development of infrastructure and educational frameworks for clinical genomics.
• To prepare for the widespread adoption of WGS in clinical practice.

Main Methods:

• Review of current capabilities in whole genome sequencing (WGS).
• Discussion of the integration of genomic and clinical data.
• Exploration of machine-learning applications in genomic data analysis.

Main Results:

• Holistic whole cancer genome profiling yields significant insights.
• Organized genomic and clinical data facilitate machine-learning applications.
• Development of clinical algorithms for cancer genome analysis is feasible.

Conclusions:

• Whole cancer genome profiling offers valuable clinical insights.
• Infrastructure and education are crucial for supporting clinical genomicists.
• WGS is poised to become a standard in future clinical practice.