Computationally reconstructing the evolution of cancer progression risk

Abstract excerpt

Understanding the evolution of cancer in its early stages is critical to identifying key drivers of cancer progression and developing better early diagnostics or prophylactic treatments. Early cancer is difficult to observe, though, since it is generally asymptomatic until extensive genetic damage has accumulated. In this study, we develop a computational approach to infer how once-healthy cells enter into and bec...

Topics

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• Algorithms
• Biological Evolution
• Computational Biology
• Disease Progression
• Models, Biological
• Mutation
• Neoplasms
• Phylogeny

Identifiers and source

Literature Corpus work

d9219fd9-dfe8-51c3-b523-fa79543affa1

DOI

10.1101/2024.12.23.629914