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STAR Protocols· 2026Q2

Modeling human tumor evolution in mice

Dale M. Watt, Louise E. Mitchell, S. Leah Etheridge, Philip D.; id_orcid 0000-0001-9160-283X Dunne et al.

Short summary

This Primer guides the selection of mouse models that best recapitulate human tumor evolution, comparing conventional genetically engineered mouse models (GEMMs), transplant models, and emerging tools like somatic editing and the TAR allele system.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Cancer development is an evolutionary process influenced by mutations and microenvironmental selective pressures.
  • Mouse models must accurately reflect human tumor evolutionary complexities to be translationally relevant.
  • Comparison of GEMMs, transplant models, somatic editing, and TAR allele systems is provided for selecting appropriate models.
  • Key evolutionary aspects considered include mutation order, rare clone emergence and competition, and microenvironmental context.

AI-generated from the title and abstract; the full text is not read.

Abstract

Cancer develops through an evolutionary process driven by mutation and selective pressures imposed by the microenvironment. To be translationally relevant, experimental models must recapitulate these clinical complexities. In this Primer, we consider how different mouse-modeling strategies can be aligned with human tumor evolution, focusing on mutation order, the emergence and competition of initially rare mutant clones within genetically mosaic tissues, and microenvironmental context. By comparing conventional genetically engineered mouse models (GEMMs), transplant-based models, and emerging tools such as somatic editing and the tandem arrayed regulator (TAR) allele system, we offer a guide for selecting the most appropriate mouse model to address specific evolutionary questions.

The authors' abstract, as published at the source. STAR Protocols, 2026 · DOI ↗

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