Abstract Circulating tumor cell (CTC) clusters mediate metastasis at a higher efficiency and are associated with lower overall survival in breast cancer compared to single cells. Combining single-cell RNA sequencing and protein analyses, here we report the profiles of primary tumor cells and lung metastases of triple-negative breast cancer (TNBC). ICAM1 expression increases by 200-fold in the lung metastases of three TNBC patient-derived xenografts (PDXs). Depletion of ICAM1 abrogates lung colonization of TNBC cells by inhibiting homotypic tumor cell-tumor cell cluster formation. Machine learning-based algorithms and mutagenesis analyses identify ICAM1 regions responsible for homophilic ICAM1-ICAM1 interactions, thereby directing homotypic tumor cell clustering, as well as heterotypic tumor-endothelial adhesion for trans-endothelial migration. Moreover, ICAM1 promotes metastasis by activating cellular pathways related to cell cycle and stemness. Finally, blocking ICAM1 interactions significantly inhibits CTC cluster formation, tumor cell transendothelial migration, and lung metastasis. Therefore, ICAM1 can serve as a novel therapeutic target for metastasis initiation of TNBC.
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Mechanosensitivity Analysis of Breast Cancer Tumor Cells from Needle Biopsy
Tumor stiffness has been associated with malignancy and increased risk for metastasis. Extensive research has been done investigating breast cancer cell lines’ responsiveness to surfaces of varying rigidities as well as examining the biophysical properties of breast cancer tumor samples. However, there is a critical gap regarding the relationship between cells’ mechanosensitivity in conjunction to biophysical properties of their extracellular matrix environment. To explore this relationship, we will analyze single-cell mechanosensitivity in comparison to tumor rigidity via shearwave ultrasound elastogrophy (SWE). Given the putative affiliation, we hypothesize that cells expressing invasive mechanosensitivity profiles will correlate with stiffer tumor regions. Using collagen gels containing different cell types, we derived biopsy-sized samples allowing us to optimize single-cell mechanosensitivity analysis. Cells were stained using different dyes corresponding to invasiveness. Subsequently, we analyzed their morphology. Morphological identification within organoid environments would allow for single-cell analysis without the aggression of tissue digestion, though preliminary results suggest high heterogeneity may not allow for confident cell identification solely on morphology. Thus, inquisition into cell viability and integrity was explored by analyzing the effects of tissue digestion with HyQtase on single-cells. Cell count and live-dead stain via flow cytometry allowed for analysis of single-cell viability. Lastly, cell integrity was evaluated by a 2D adhesion assay of isolated cells. The live/dead stain revealed that digestion resulted in isolation of approximately 10% of the original 500,000 cell population with 90–97% of the isolated population being live-cells (invasive and non-invasive respectively). Furthermore, the adhesion assay showed that these isolated single cells retained the ability to adhere to new surfaces, with no difference between the invasive and non-invasive cell types. These results show that cells are able to retain mechanosensitive properties following enzymatic digestion. However, they also suggest our digestion procedure is not aggressive enough to isolate invasive subpopulations that are more strongly imbedded in the original tissues. Development of these novel techniques will allow for accurate and confident analysis of precious human biopsy samples. Insight into the relationship between single-cell mechanosensitivity and tumor biophysical properties could elucidate pathways for metastasis inhibition and prevention.
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- Award ID(s):
- 1825174
- PAR ID:
- 10104959
- Date Published:
- Journal Name:
- The FASEB journal
- ISSN:
- 0892-6638
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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