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Natural killer cell regulation of breast cancer stem cells mediates metastatic dormancy

GSE267583 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2024/05/15 Platform GPL24247
Summary
Breast cancer patients with estrogen receptor positive tumors face a constant risk of disease recurrence for the remainder of their lives. Dormant tumor cells residing in tissues such as the bone marrow may generate clinically significant metastases many years after initial diagnosis. Previous studies suggest that dormant cells display “stem like” properties (CSCs), which may be regulated by the immune system. Although many studies have examined tumor cell intrinsic characteristics of dormancy, the role of the immune system in controlling dormancy and its escape is not well understood. This scientific gap is due, in part, to a lack of immunocompetent mouse models of breast cancer dormancy with many studies involving human xenografts in immunodeficient mice. To overcome this limitation, we studied dormancy in immunocompetent, syngeneic mouse breast cancer models. We find that PyMT, Met-1 and D2.0R cell lines contain CSCs that display both short- and long-term metastatic dormancy in vivo, which is dependent on the host immune system. Natural killer cells were key for the metastatic dormancy phenotype observed for D2.0R and the role of NK cells in regulating CSCs was further investigated. Quiescent D2.0R CSC are resistant to NK cytotoxicity, while proliferative D2.0R CSC were sensitive to NK cytotoxicity both in vitro and in vivo. This resistance was mediated, in part, by the expression of Bach1 and Sox2 transcription factors. NK killing was enhanced by the STING agonist MSA-2. Collectively, our findings demonstrate the important role of immune regulation of breast tumor dormancy and highlight the importance of utilizing immunocompetent models to study this phenomenon.
Published in
Natural killer cell regulation of breast cancer stem cells mediates metastatic dormancy
Bushnell GG, Sharma D, Wilmot HC et al. · bioRxiv : the preprint server for biology 2023 · PMID 37873211 · doi:10.1101/2023.10.02.560493
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Also filed as BioProject PRJNA1111891 and SRA study SRP507960. Searching any of these in the dataset finder brings you back here.

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