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Detecting heterogeneity in and between breast cancer cell lines.
Cancer Converg. 2020; 4(1):1.CC

Abstract

Background

Cellular heterogeneity in tumor cells is a well-established phenomenon. Genetic and phenotypic cell-to-cell variability have been observed in numerous studies both within the same type of cancer cells and across different types of cancers. Another known fact for metastatic tumor cells is that they tend to be softer than their normal or non-metastatic counterparts. However, the heterogeneity of mechanical properties in tumor cells are not widely studied.

Results

Here we analyzed single-cell optical stretcher data with machine learning algorithms on three different breast tumor cell lines and show that similar heterogeneity can also be seen in mechanical properties of cells both within and between breast tumor cell lines. We identified two clusters within MDA-MB-231 cells, with cells in one cluster being softer than in the other. In addition, we show that MDA-MB-231 cells and MDA-MB-436 cells which are both epithelial breast cancer cell lines with a mesenchymal-like phenotype derived from metastatic cancers are mechanically more different from each other than from non-malignant epithelial MCF-10A cells.

Conclusion

Since stiffness of tumor cells can be an indicator of metastatic potential, this result suggests that metastatic abilities could vary within the same monoclonal tumor cell line.

Authors+Show Affiliations

1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA.1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA.2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany.2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany.Leipzig University Medical Center, Department of Obstetrics and Gynecology, Liebigstr. 20a, 04103 Leipzig, Germany.2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany.1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32090168

Citation

Shen, Yang, et al. "Detecting Heterogeneity in and Between Breast Cancer Cell Lines." Cancer Convergence, vol. 4, no. 1, 2020, p. 1.
Shen Y, Schmidt BUS, Kubitschke H, et al. Detecting heterogeneity in and between breast cancer cell lines. Cancer Converg. 2020;4(1):1.
Shen, Y., Schmidt, B. U. S., Kubitschke, H., Morawetz, E. W., Wolf, B., Käs, J. A., & Losert, W. (2020). Detecting heterogeneity in and between breast cancer cell lines. Cancer Convergence, 4(1), 1. https://doi.org/10.1186/s41236-020-0010-1
Shen Y, et al. Detecting Heterogeneity in and Between Breast Cancer Cell Lines. Cancer Converg. 2020;4(1):1. PubMed PMID: 32090168.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Detecting heterogeneity in and between breast cancer cell lines. AU - Shen,Yang, AU - Schmidt,B U Sebastian, AU - Kubitschke,Hans, AU - Morawetz,Erik W, AU - Wolf,Benjamin, AU - Käs,Josef A, AU - Losert,Wolfgang, Y1 - 2020/02/03/ PY - 2019/06/07/received PY - 2020/01/15/accepted PY - 2020/2/25/entrez PY - 2020/2/25/pubmed PY - 2020/2/25/medline KW - Cancer KW - Heterogeneity KW - MCF-10A KW - MDA-MB-231 KW - MDA-MB-436 KW - Single-cell SP - 1 EP - 1 JF - Cancer convergence JO - Cancer Converg VL - 4 IS - 1 N2 - Background: Cellular heterogeneity in tumor cells is a well-established phenomenon. Genetic and phenotypic cell-to-cell variability have been observed in numerous studies both within the same type of cancer cells and across different types of cancers. Another known fact for metastatic tumor cells is that they tend to be softer than their normal or non-metastatic counterparts. However, the heterogeneity of mechanical properties in tumor cells are not widely studied. Results: Here we analyzed single-cell optical stretcher data with machine learning algorithms on three different breast tumor cell lines and show that similar heterogeneity can also be seen in mechanical properties of cells both within and between breast tumor cell lines. We identified two clusters within MDA-MB-231 cells, with cells in one cluster being softer than in the other. In addition, we show that MDA-MB-231 cells and MDA-MB-436 cells which are both epithelial breast cancer cell lines with a mesenchymal-like phenotype derived from metastatic cancers are mechanically more different from each other than from non-malignant epithelial MCF-10A cells. Conclusion: Since stiffness of tumor cells can be an indicator of metastatic potential, this result suggests that metastatic abilities could vary within the same monoclonal tumor cell line. SN - 2366-6196 UR - https://www.unboundmedicine.com/medline/citation/32090168/Detecting_heterogeneity_in_and_between_breast_cancer_cell_lines L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/32090168/ DB - PRIME DP - Unbound Medicine ER -
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