Tamoxifen Response at Single-Cell Resolution in Estrogen Receptor–Positive Primary Human Breast Tumors

Author:

Kim Hyunsoo1ORCID,Whitman Austin A.1ORCID,Wisniewska Kamila1ORCID,Kakati Rasha T.1ORCID,Garcia-Recio Susana1ORCID,Calhoun Benjamin C.2ORCID,Franco Hector L.134ORCID,Perou Charles M.1234ORCID,Spanheimer Philip M.15ORCID

Affiliation:

1. 1Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.

2. 2Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

3. 3Department of Genetics, University of North Carolina, Chapel Hill, North Carolina.

4. 4Computational Medicine Program, University of North Carolina, Chapel Hill, North Carolina.

5. 5Department of Surgery, University of North Carolina, Chapel Hill, North Carolina.

Abstract

Abstract Purpose: In estrogen receptor–positive (ER+)/HER2− breast cancer, multiple measures of intratumor heterogeneity are associated with a worse response to endocrine therapy. We sought to develop a novel experimental model to measure heterogeneity in response to tamoxifen treatment in primary breast tumors. Experimental Design: To investigate heterogeneity in response to treatment, we developed an operating room-to-laboratory pipeline for the collection of live normal breast specimens and human tumors immediately after surgical resection for processing into single-cell workflows for experimentation and genomic analyses. Live primary cell suspensions were treated ex vivo with tamoxifen (10 μmol/L) or control media for 12 hours, and single-cell RNA libraries were generated using the 10X Genomics droplet-based kit. Results: In total, we obtained and processed normal breast tissue from two women undergoing reduction mammoplasty and tumor tissue from 10 women with ER+/HER2− invasive breast carcinoma. We demonstrate differences in tamoxifen response by cell type and identify distinctly responsive and resistant subpopulations within the malignant cell compartment of human tumors. Tamoxifen resistance signatures from resistant subpopulations predict poor outcomes in two large cohorts of ER+ breast cancer patients and are enriched in endocrine therapy–resistant tumors. Conclusions: This novel ex vivo model system now provides the foundation to define responsive and resistant subpopulations within heterogeneous human tumors, which can be used to develop precise single cell–based predictors of response to therapy and to identify genes and pathways driving therapeutic resistance.

Funder

National Cancer Institute

Society of University Surgeons Foundation

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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