An official website of the United States government
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.
more »
« less
Single Cell Analysis of Inertial Migration by Circulating Tumor Cells and Clusters
Single-cell analysis provides a wealth of information regarding the molecular landscape of the tumor cells responding to extracellular stimulations, which has greatly advanced the research in cancer biology. In this work, we adapt such a concept for the analysis of inertial migration of cells and clusters, which is promising for cancer liquid biopsy, by isolation and detection of circulating tumor cells (CTCs) and CTC clusters. Using high-speed camera tracking live individual tumor cells and cell clusters, the behavior of inertial migration was profiled in unprecedented detail. We found that inertial migration is heterogeneous spatially, depending on the initial cross-sectional location. The lateral migration velocity peaks at about 25% of the channel width away from the sidewalls for both single cells and clusters. More importantly, while the doublets of the cell clusters migrate significantly faster than single cells (~two times faster), cell triplets unexpectedly have similar migration velocities to doublets, which seemingly disagrees with the size-dependent nature of inertial migration. Further analysis indicates that the cluster shape or format (for example, triplets can be in string format or triangle format) plays a significant role in the migration of more complex cell clusters. We found that the migration velocity of a string triplet is statistically comparable to that of a single cell while the triangle triplets can migrate slightly faster than doublets, suggesting that size-based sorting of cells and clusters can be challenging depending on the cluster format. Undoubtedly, these new findings need to be considered in the translation of inertial microfluidic technology for CTC cluster detection.
more »
« less
- PAR ID:
- 10490314
- Editor(s):
- Nguyen, N. T.
- Publisher / Repository:
- MDPI
- Date Published:
- Journal Name:
- Micromachines
- Volume:
- 14
- Issue:
- 4
- ISSN:
- 2072-666X
- Page Range / eLocation ID:
- 787
- Subject(s) / Keyword(s):
- circulating tumor cells CTC clusters CTC doublets and triplets inertial microfluidics inertial migration single-cell analysis cell focusing and separation
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Circulating tumor cell (CTC) clusters that are shed from the primary tumor into the bloodstream are associated with a poor prognosis, elevated metastatic potential, higher proliferation rate, and distinct molecular features compared to single CTCs. Studying CTC clusters may give us information on the differences in the genetic profiles, somatic mutations, and epigenetic changes in circulating cells compared to the primary tumor and metastatic sites. Microfluidic systems offer the means of studying CTC clusters through the ability to efficiently isolate these rare cells from the whole blood of patients in a liquid biopsy. Microfluidics can also be used to develop in vitro models of CTC clusters and make possible their characterization and analysis. Ultimately, microfluidic systems can offer the means to gather insight on the complexities of the metastatic process, the biology of cancer, and the potential for developing novel or personalized therapies. In this review, we aim to discuss the advantages and challenges of the existing microfluidic systems for working with CTC clusters. We hope that an improved understanding of the role microfluidics can play in isolation, formation, and characterization of CTC clusters, which can lead to increased sophistication of microfluidic platforms in cancer research.more » « less
-
Profiling circulating tumour cells (CTCs) in cancer patients' blood samples is critical to understand the complex and dynamic nature of metastasis. This task is challenged by the fact that CTCs are not only extremely rare in circulation but also highly heterogeneous in their molecular programs and cellular functions. Here we report a combinational approach for the simultaneous biochemical and functional phenotyping of patient-derived CTCs, using an integrated inertial ferrohydrodynamic cell separation (i 2 FCS) method and a single-cell microfluidic migration assay. This combinatorial approach offers unique capability to profile CTCs on the basis of their surface expression and migratory characteristics. We achieve this using the i 2 FCS method that successfully processes whole blood samples in a tumor cell marker and size agnostic manner. The i 2 FCS method enables an ultrahigh blood sample processing throughput of up to 2 × 10 5 cells s −1 with a blood sample flow rate of 60 mL h −1 . Its short processing time (10 minutes for a 10 mL sample), together with a close-to-complete CTC recovery (99.70% recovery rate) and a low WBC contamination (4.07-log depletion rate by removing 99.992% of leukocytes), results in adequate and functional CTCs for subsequent studies in the single-cell migration device. For the first time, we employ this new approach to query CTCs with single-cell resolution in accordance with their expression of phenotypic surface markers and migration properties, revealing the dynamic phenotypes and the existence of a high-motility subpopulation of CTCs in blood samples from metastatic lung cancer patients. This method could be adopted to study the biological and clinical value of invasive CTC phenotypes.more » « less
-
null (Ed.)Breast cancer cells can metastasize either as single cells or as clusters to distant organs from the primary tumor site. Cell clusters have been shown to possess higher metastatic potential compared to single cells. The organ microenvironment is critical in regulating the ultimate phenotype, specifically, the dormant versus proliferative phenotypes, of these clusters. In the context of breast cancer brain metastasis (BCBM), tumor cell cluster–organ microenvironment interactions are not well understood, in part, due to the lack of suitable biomimetic in vitro models. To address this need, herein, we report a biomaterial-based model, utilizing hyaluronic acid (HA) hydrogels with varying stiffnesses to mimic the brain microenvironment. Cell spheroids were used to mimic cell clusters. Using 100–10 000 MDA-MB-231Br BCBM cells, six different sizes of cell spheroids were prepared to study the impact of cluster size on dormancy. On soft HA hydrogels (∼0.4 kPa), irrespective of spheroid size, all cell spheroids attained a dormant phenotype, whereas on stiff HA hydrogels (∼4.5 kPa), size dependent switch between the dormant and proliferative phenotypes was noted ( i.e. , proliferative phenotype ≥5000 cell clusters < dormant phenotype), as tested via EdU and Ki67 staining. Furthermore, we demonstrated that the matrix stiffness driven dormancy was reversible. Such biomaterial systems provide useful tools to probe cell cluster–matrix interactions in BCBM.more » « less
-
During wound healing, tumor growth, and organ formation, epithelial cells migrate and cluster in layered tissue environments. Although cellular mechanosensing of adhered extracellular matrices is now well recognized, it is unclear how deeply cells sense through distant matrix layers. Since single cells can mechanosense stiff basal surfaces through soft hydrogels of <10 μm thickness, here we ask whether cellular collectives can perform such “depth-mechanosensing” through thicker matrix layers. Using a collagen-polyacrylamide double-layer hydrogel, we found that epithelial cell collectives can mechanosense basal substrates at a depth of >100 μm, assessed by cell clustering and collagen deformation. On collagen layers with stiffer basal substrates, cells initially migrate slower while performing higher collagen deformation and stiffening, resulting in reduced dispersal of epithelial clusters. These processes occur in two broad phases: cellular clustering and dynamic collagen deformation, followed by cell migration and dispersal. Using a cell-populated collagen-polyacrylamide computational model, we show that stiffer basal substrates enable higher collagen deformation, which in turn extends the clustering phase of epithelial cells and reduces their dispersal. Disruption of collective collagen deformation, by either α-catenin depletion or myosin-II inhibition, disables the depth-mechanosensitive differences in epithelial responses between soft and stiff basal substrates. These findings suggest that depth-mechanosensing is an emergent property that arises from collective collagen deformation caused by epithelial cell clusters. This work broadens the conventional understanding of epithelial mechanosensing from immediate surfaces to underlying basal matrices, providing insights relevant to tissue contexts with layers of varying stiffness, such as wound healing and tumor invasion.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3390/mi14040787
