Hormone signaling and immune programs define differential endocrine responsiveness in high-risk breast tissue
Hormone therapies are frequently used to reduce breast cancer risk in individuals at increased risk for primary or subsequent disease; however, tissue-level responses to these therapies are heterogeneous and incompletely understood. Background parenchymal enhancement (BPE) on breast magnetic resonance imaging (MRI) provides a non-invasive radiologic readout of breast tissue features associated with endocrine responsiveness and cancer risk. Although BPE is associated with hormonal exposure, a subset of patients with BPE do not show a response to preventive endocrine therapy and therefore may remain at increased breast cancer risk. In this study, we integrated single-nucleus RNA sequencing and spatial transcriptomics to define the determinants of endocrine responsiveness in the setting of BPE. We identify hormone-driven epithelial cells with high levels of estrogen signaling and endocrine responsiveness, together with immune-associated epithelial programs characterized by diminished luminal identity and increased expression of immune-modulatory pathways, including major histocompatibility complex (MHC) class II and CD74. Functional organoid assays validate that these epithelial states exhibit differential sensitivity to tamoxifen and demonstrate that inflammatory signals can induce immune-modulatory epithelial programs. Together, our findings identify hormone signaling and immune programs as key determinants of endocrine responsiveness in breast tissue and provide a biological basis for interpreting radiologic markers relevant to cancer prevention.
Authors
- Allison Lam
- Heather Greenwood (ORCID: https://orcid.org/0000-0001-7664-3852)
- Souichirou Abe
- Michael Y. Choi (ORCID: https://orcid.org/0000-0002-9107-2186)
- Marin Bont
- Chaelee Park (ORCID: https://orcid.org/0000-0002-3909-0096)
- Christopher J. Schwartz (ORCID: https://orcid.org/0000-0002-8086-8429)
- Karen Goodwin (ORCID: https://orcid.org/0000-0002-8376-3809)
- Rita Muktar
- Jordan E. Jackson
- Laura van 't Veer
- Cheryl Ann Ewing
- Anna Vertido
- Julia Ye
- M. Campbell
- S. Warhadpande
- Laura Esserman
- Jose Cedano
- Olufunmilayo Olopade
- Jennifer Rosenbluth
- Michael Alvarado
- Nola Hylton
- Jasmine Wong
- Julia Chandler
- Nadine Goldhammer
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- University of California, San Francisco (US)
- University Medical Center Utrecht (NL)
- Chan Zuckerberg Initiative (United States) (US)
- Cancer Genetics (United States) (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-03-04
- DOI
- https://doi.org/10.64898/2026.03.02.709108
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00