A Scalable Framework for Pan-Cancer Tumor Evolution Analysis Enables Transfer of Progression Mechanisms Across Tumor Entities

Abstract excerpt

<h4>Motivation</h4> Cancer progression is driven by the stochastic accumulation of interacting genetic alterations, and tumors from different tissues can share common evolutionary patterns despite distinct anatomical origins. While simplified progression models can be applied at scale, the use of expressive models that capture complex inter-event dependencies remains challenging in pan-cancer settings due to thei...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• Computational Biology
• Databases, Genetic
• Disease Progression
• Genes, Neoplasm
• Models, Statistical
• Mutation
• Neoplasms

Identifiers and source

Literature Corpus work

64d5fff9-d4b0-5691-ac17-694bc2810e9b

DOI

10.64898/2026.01.20.700556