دورية أكاديمية
أعرض في EDS

Detecting heterogeneity in and between breast cancer cell lines.

التفاصيل البيبلوغرافية
العنوان: Detecting heterogeneity in and between breast cancer cell lines.
المؤلفون: Shen Y; 1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA., Schmidt BUS; 1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA., Kubitschke H; 2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany., Morawetz EW; 2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany., Wolf B; Leipzig University Medical Center, Department of Obstetrics and Gynecology, Liebigstr. 20a, 04103 Leipzig, Germany., Käs JA; 2Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstr. 5, 04103 Leipzig, Germany., Losert W; 1Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA.
المصدر: Cancer convergence [Cancer Converg] 2020; Vol. 4 (1), pp. 1. Date of Electronic Publication: 2020 Feb 03.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101723210 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-6196 (Electronic) Linking ISSN: 23666196 NLM ISO Abbreviation: Cancer Converg Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Cham : Springer International Publishing
مستخلص: 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.
Competing Interests: Competing interestsThe authors declare that they have no competing interests.
(© The Author(s) 2020.)
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فهرسة مساهمة: Keywords: Cancer; Heterogeneity; MCF-10A; MDA-MB-231; MDA-MB-436; Single-cell
تواريخ الأحداث: Date Created: 20200225 Latest Revision: 20220413
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6997265
DOI: 10.1186/s41236-020-0010-1
PMID: 32090168
قاعدة البيانات: MEDLINE
الوصف
تدمد:2366-6196
DOI:10.1186/s41236-020-0010-1