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Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression
Cancer cells alter their migratory properties during tumor progression to invade surrounding tissues and metastasize to distant sites. However, it remains unclear how migratory behaviors differ between tumor cells of different malignancy and whether these migratory behaviors can be utilized to asses...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602596/ https://www.ncbi.nlm.nih.gov/pubmed/23527039 http://dx.doi.org/10.1371/journal.pone.0058859 |
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author | Weiger, Michael C. Vedham, Vidya Stuelten, Christina H. Shou, Karen Herrera, Mark Sato, Misako Losert, Wolfgang Parent, Carole A. |
author_facet | Weiger, Michael C. Vedham, Vidya Stuelten, Christina H. Shou, Karen Herrera, Mark Sato, Misako Losert, Wolfgang Parent, Carole A. |
author_sort | Weiger, Michael C. |
collection | PubMed |
description | Cancer cells alter their migratory properties during tumor progression to invade surrounding tissues and metastasize to distant sites. However, it remains unclear how migratory behaviors differ between tumor cells of different malignancy and whether these migratory behaviors can be utilized to assess the malignant potential of tumor cells. Here, we analyzed the migratory behaviors of cell lines representing different stages of breast cancer progression using conventional migration assays or time-lapse imaging and particle image velocimetry (PIV) to capture migration dynamics. We find that the number of migrating cells in transwell assays, and the distance and speed of migration in unconstrained 2D assays, show no correlation with malignant potential. However, the directionality of cell motion during 2D migration nicely distinguishes benign and tumorigenic cell lines, with tumorigenic cell lines harboring less directed, more random motion. Furthermore, the migratory behaviors of epithelial sheets observed under basal conditions and in response to stimulation with epidermal growth factor (EGF) or lysophosphatitic acid (LPA) are distinct for each cell line with regard to cell speed, directionality, and spatiotemporal motion patterns. Surprisingly, treatment with LPA promotes a more cohesive, directional sheet movement in lung colony forming MCF10CA1a cells compared to basal conditions or EGF stimulation, implying that the LPA signaling pathway may alter the invasive potential of MCF10CA1a cells. Together, our findings identify cell directionality as a promising indicator for assessing the tumorigenic potential of breast cancer cell lines and show that LPA induces more cohesive motility in a subset of metastatic breast cancer cells. |
format | Online Article Text |
id | pubmed-3602596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36025962013-03-22 Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression Weiger, Michael C. Vedham, Vidya Stuelten, Christina H. Shou, Karen Herrera, Mark Sato, Misako Losert, Wolfgang Parent, Carole A. PLoS One Research Article Cancer cells alter their migratory properties during tumor progression to invade surrounding tissues and metastasize to distant sites. However, it remains unclear how migratory behaviors differ between tumor cells of different malignancy and whether these migratory behaviors can be utilized to assess the malignant potential of tumor cells. Here, we analyzed the migratory behaviors of cell lines representing different stages of breast cancer progression using conventional migration assays or time-lapse imaging and particle image velocimetry (PIV) to capture migration dynamics. We find that the number of migrating cells in transwell assays, and the distance and speed of migration in unconstrained 2D assays, show no correlation with malignant potential. However, the directionality of cell motion during 2D migration nicely distinguishes benign and tumorigenic cell lines, with tumorigenic cell lines harboring less directed, more random motion. Furthermore, the migratory behaviors of epithelial sheets observed under basal conditions and in response to stimulation with epidermal growth factor (EGF) or lysophosphatitic acid (LPA) are distinct for each cell line with regard to cell speed, directionality, and spatiotemporal motion patterns. Surprisingly, treatment with LPA promotes a more cohesive, directional sheet movement in lung colony forming MCF10CA1a cells compared to basal conditions or EGF stimulation, implying that the LPA signaling pathway may alter the invasive potential of MCF10CA1a cells. Together, our findings identify cell directionality as a promising indicator for assessing the tumorigenic potential of breast cancer cell lines and show that LPA induces more cohesive motility in a subset of metastatic breast cancer cells. Public Library of Science 2013-03-19 /pmc/articles/PMC3602596/ /pubmed/23527039 http://dx.doi.org/10.1371/journal.pone.0058859 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Weiger, Michael C. Vedham, Vidya Stuelten, Christina H. Shou, Karen Herrera, Mark Sato, Misako Losert, Wolfgang Parent, Carole A. Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title | Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title_full | Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title_fullStr | Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title_full_unstemmed | Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title_short | Real-Time Motion Analysis Reveals Cell Directionality as an Indicator of Breast Cancer Progression |
title_sort | real-time motion analysis reveals cell directionality as an indicator of breast cancer progression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602596/ https://www.ncbi.nlm.nih.gov/pubmed/23527039 http://dx.doi.org/10.1371/journal.pone.0058859 |
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