Clonal Hematopoiesis of Indeterminate Potential Influences Breast Cancer Outcomes in a Genotype-Specific Manner
Our findings demonstrate a genotype-specific impact of CHIP on breast cancer across human and mouse data. Furthermore, the chimeric mouse models we generated offer a clinically relevant tool to study solid tumors in a CHIP background. This work underscores the need for further functional studies and personalized risk assessment to clearly define the impact of various CHIP genotypes on breast cancer.
Authors
- P. Brent Ferrell (ORCID: https://orcid.org/0000-0003-1140-9154)
- Alexander G. Bick (ORCID: https://orcid.org/0000-0001-5824-9595)
- Justin A. Cartailler (ORCID: https://orcid.org/0009-0000-4150-5070)
- Melinda E. Sanders (ORCID: https://orcid.org/0000-0001-7227-1764)
- Paula I. González-Ericsson (ORCID: https://orcid.org/0000-0002-6292-6963)
- Bryce A. Thomas (ORCID: https://orcid.org/0009-0001-5126-2110)
- Leo Y. Luo (ORCID: https://orcid.org/0000-0002-3061-4287)
- Violeta Sánchez (ORCID: https://orcid.org/0000-0001-6639-9024)
- Paula J. Hurley (ORCID: https://orcid.org/0000-0003-1487-9282)
- Brad A. Davidson (ORCID: https://orcid.org/0000-0002-5850-117X)
- Riley E. Bergman (ORCID: https://orcid.org/0000-0003-0946-8913)
- Chad R. Potts (ORCID: https://orcid.org/0000-0003-2319-2474)
- Sarah C. Reed (ORCID: https://orcid.org/0000-0003-2191-6643)
- Lauren Ha (ORCID: https://orcid.org/0009-0005-9441-2659)
- Sarah Croessmann (ORCID: https://orcid.org/0000-0002-7366-0400)
- Ben Ho Park (ORCID: https://orcid.org/0000-0001-8119-2291)
- Ethan K. Fox (ORCID: https://orcid.org/0009-0008-9178-7326)
- V.K. Arora (ORCID: https://orcid.org/0009-0006-9379-594X)
- J. Kemp (ORCID: https://orcid.org/0000-0001-6941-295X)
Institutions
- Vanderbilt University (US)
- American Association For Cancer Research (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1158/1078-0432.ccr-25-2009
- Citations
- 1
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.94