ArticleCancer convergence2020
Detecting heterogeneity in and between breast cancer cell lines.
Article in Cancer convergence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Article
- Contact percolation governs collective motility via mechano-chemical feedback in heterogeneous breast cancer.Nature communications · 2026Article
- Glucocorticoid-Induced Proteome and Phosphoproteome Changes in Breast Cancer Cell Lines.Journal of proteome research · 2026Article
- NOHA as a key biomarker to link NOS2 activity to immune checkpoint and cytokine signaling in ER-negative breast cancer.Biochemistry and biophysics reports · 2026Article
- Leveraging Vision Transformers for High-Precision Classification of Cancer Cell Cultures: A Comparative Study on MDA-MB-231 and PC3 Datasets.IEEE open journal of engineering in medicine and biology · 2026Article
- Defeating miR-181a-3p may potentiate the effect of paclitaxel on G2/M arrest in breast cancer stem cells.Medical oncology (Northwood, London, England) · 2025Article
- Inhibition of cancerous properties of triple-negative MDA-MB-436 cells by targeting the KJournal of physiology and biochemistry · 2025Article
- Article
- Polyploidy of MDA-MB-231 cells drives increased extravasation with enhanced cell-matrix adhesion.APL bioengineering · 2025Article
- Advances in microfluidic platforms for tumor cell phenotyping: from bench to bedside.Lab on a chip · 2025Review
- Metabolic Profiling of Breast Cancer Cell Lines: Unique and Shared Metabolites.International journal of molecular sciences · 2025Article
- Murine colon cancer derived cells exhibit heterogeneous resistance profiles against an oncolytic virus.Scientific reports · 2024Article
- Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations.NPJ systems biology and applications · 2024Article
- Confinement controls the directional cell responses to fluid forces.Cell reports · 2024Article
- Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations.bioRxiv : the preprint server for biology · 2024Article
- Different contractility modes control cell escape from multicellular spheroids and tumor explants.APL bioengineering · 2024Article
- Matrix confinement modulates 3D spheroid sorting and burst-like collective migration.Acta biomaterialia · 2024Article
- An ULK1/2-PXN mechanotransduction pathway suppresses breast cancer cell migration.EMBO reports · 2023Article
- CDH1 overexpression sensitizes TRAIL resistant breast cancer cells towards rhTRAIL induced apoptosis.Molecular biology reports · 2023Article
- The Breast Cancer Single-Cell Atlas: Defining cellular heterogeneity within model cell lines and primary tumors to inform disease subtype, stemness, and treatment options.Cellular oncology (Dordrecht, Netherlands) · 2023Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCellular 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.
resultsHere 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.
conclusionSince 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.
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