Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data

Area of Science:

• Genomics
• Evolutionary Biology
• Computational Biology

Background:

• Cancer is an evolutionary process driven by somatic mutations and clonal evolution.
• Somatic copy number alterations (CNAs) are key drivers of cancer evolution and are valuable markers for phylogenetic inference.
• Existing phylogenetic inference methods using CNAs lack systematic review.

Purpose of the Study:

• To provide a comprehensive survey of phylogenetic inference methods utilizing CNAs.
• To summarize the state-of-the-art in cancer phylogenetic inference.
• To identify challenges, methods, and applications to guide future research.

Main Methods:

• Systematic review of phylogenetic inference methods based on CNAs.
• Categorization of methods by markers used and tree reconstruction types.
• Discussion of challenges in input data, evolutionary models, and inference algorithms.

Main Results:

• Identified major challenges in cancer phylogenetic inference using CNAs.
• Grouped existing methods based on inference markers and tree types.
• Highlighted applications in understanding tumor heterogeneity, metastasis, and treatment resistance.

Conclusions:

• Phylogenetic inference using CNAs is crucial for understanding cancer evolution.
• Future directions include improving scalability, integrating new data types, and developing realistic evolutionary models.
• This review serves as a guide for developing advanced cancer phylogenetic inference tools.