Single-cell RNA sequencing reveals different cellular states in malignant cells and the tumor microenvironment in primary and metastatic ER-positive breast cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Metastatic breast cancer remains largely incurable, and the mechanisms driving the transition from primary to metastatic breast cancer remain elusive. We analyzed the complex landscape of estrogen receptor (ER)-positive breast cancer primary and metastatic tumors using scRNA-seq data from twenty-three female patients with either primary or metastatic disease. By employing single-cell transcriptional profiling of unpaired patient samples, we sought to elucidate the genetic and molecular mechanisms underlying changes in the metastatic tumor ecosystem. We identified specific subtypes of stromal and immune cells critical to forming a pro-tumor microenvironment in metastatic lesions, including CCL2+ macrophages, exhausted cytotoxic T cells, and FOXP3+ regulatory T cells. Analysis of cell-cell communication highlights a marked decrease in tumor-immune cell interactions in metastatic tissues, likely contributing to an immunosuppressive microenvironment. In contrast, primary breast cancer samples displayed increased activation of the TNF-α signaling pathway via NF-kB, indicating a potential therapeutic target. Our study comprehensively characterizes the transcriptional landscape encompassing primary and metastatic breast cancer.
Source: npj Breast Cancer
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,790
Funders: Breast Cancer Research Foundation, Georgia Clinical and Translational Science Alliance, National Institutes of Health, Knight Cancer Institute, Oregon Health and Science University, National Cancer Institute, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences, Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University
Awards: Identifying the Molecular and Cellular Basis of Invasive Phenotype in Human DCIS, G2698655961, G3698742172, G4924162002, A novel N-Ras pathway driving DCIS to basal-like breast cancer, G835355920, G862694305, Frontiers Clinical and Translational Science Institute at the University of Kansas, G9000248580, The Kansas Institute for Precision Medicine, Systematic Characterization and Targeting of Neomorphic Drivers in Cancer, Mechanistic maps of adaptive responses to therapeutic stress to optimize combination therapies., The University of Kansas Cancer Center
OpenAlex ID: W4413688376
