Genetic background sets the trajectory of experimental cancer evolution
Abstract Human cancers are heterogeneous 1 . Dissecting how germline genetic variation and environmental factors shape tumour evolution using human datasets is limited by inherent diversity in genetic backgrounds 2 and environmental exposures 3–5 . Here, to overcome these limitations, we re-ran early tumour evolution hundreds of times in diverged inbred mouse strains, generating matched histology and whole-genome and transcriptome sequences. The sex, environment and carcinogenic exposures were all controlled, and the study design allowed us to capture genetic variation comparable with that observed across human populations while exploiting the nested hierarchical structure of strain–litter–animal–tumour relationships. Our analyses reveal that epistatic interactions between genetic background and acquired somatic mutations result in population-specific disease progression, including choice of driver mutations, occurrence of whole-genome duplication and subclonal selection dynamics that mirror both cancer susceptibility and tumour growth rate. Even modest genetic divergence, comparable with that found across human ancestry groups, can strikingly alter selection pressures during cancer development to shape both cancer risk and the trajectory of tumour evolution.
Authors
- Juliet Luft (ORCID: https://orcid.org/0000-0003-2458-9377)
- Martin S. Taylor (ORCID: https://orcid.org/0000-0001-7656-330X)
- Aisling M. Redmond (ORCID: https://orcid.org/0000-0001-9070-1780)
- Erika López‐Arribillaga (ORCID: https://orcid.org/0000-0002-9451-6635)
- Ruben M. Drews (ORCID: https://orcid.org/0000-0001-7360-4970)
- Michael D. Nicholson (ORCID: https://orcid.org/0000-0003-2813-8979)
- Ailith Ewing (ORCID: https://orcid.org/0000-0002-2272-1277)
- Inés Sentís (ORCID: https://orcid.org/0000-0001-8320-9579)
- Oriol Pich (ORCID: https://orcid.org/0000-0002-1956-1882)
- Margus Lukk (ORCID: https://orcid.org/0000-0002-0701-5358)
- Stuart Aitken (ORCID: https://orcid.org/0000-0003-4867-4568)
- Elissavet Kentepozidou (ORCID: https://orcid.org/0000-0003-0732-6452)
- Tim F. Rayner (ORCID: https://orcid.org/0000-0002-6992-5592)
- Maëlle Daunesse (ORCID: https://orcid.org/0000-0003-0350-7790)
- Javier Santoyo‐López (ORCID: https://orcid.org/0000-0003-1988-5059)
- Craig Anderson (ORCID: https://orcid.org/0000-0002-2832-9313)
- Vera B. Kaiser (ORCID: https://orcid.org/0000-0003-0619-6297)
- Duncan T. Odom (ORCID: https://orcid.org/0000-0001-6201-5599)
- Núria López-Bigas (ORCID: https://orcid.org/0000-0003-4925-8988)
- Mikaela Behm (ORCID: https://orcid.org/0000-0002-3272-1377)
- Vasavi Sundaram (ORCID: https://orcid.org/0000-0001-6571-7027)
- Sarah J. Aitken (ORCID: https://orcid.org/0000-0002-1897-4140)
- Christine Feig (ORCID: https://orcid.org/0000-0003-1385-7049)
- Lana Talmane (ORCID: https://orcid.org/0000-0001-5649-7368)
- Claudia Arnedo-Pac (ORCID: https://orcid.org/0000-0002-2037-8487)
- Jan C. Verburg
- Frances Connor (ORCID: https://orcid.org/0000-0003-2858-9411)
- J.V. Hayes
- Campbell
- Paul A. Ginno
- Colin A. Semple
- Paul Flicek
- John Connelly
Publication Details
- Journal
- Nature
- Published
- 2026-07-22
- DOI
- https://doi.org/10.1038/s41586-026-10821-z
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00