Cargando…
Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells
Cancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that pre...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343033/ https://www.ncbi.nlm.nih.gov/pubmed/30670739 http://dx.doi.org/10.1038/s41598-018-36551-5 |
_version_ | 1783389206256549888 |
---|---|
author | Li, Yanfen Fanous, Michael J. Kilian, Kristopher A. Popescu, Gabriel |
author_facet | Li, Yanfen Fanous, Michael J. Kilian, Kristopher A. Popescu, Gabriel |
author_sort | Li, Yanfen |
collection | PubMed |
description | Cancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that precedes invasion. Here we present the integration of a label-free quantitative phase imaging technique, spatial light interference microscopy (SLIM)—with protein-conjugated hydrogel substrates—to explore how the stiffness of the ECM influences melanoma cells of varying metastatic potential. Melanoma cells of high metastatic potential demonstrate increased growth and velocity characteristics relative to cells of low metastatic potential. Cell velocity in the highly metastatic population shows a relative insensitivity to matrix stiffness suggesting adoption of migratory routines that are independent of mechanics to facilitate invasion. The use of SLIM and engineered substrates provides a new approach to characterize the invasive properties of live cells as a function of microenvironment parameters. This work provides fundamental insight into the relationship between growth, migration and metastatic potential, and provides a new tool for profiling cancer cells for clinical grading and development of patient-specific therapeutic regimens. |
format | Online Article Text |
id | pubmed-6343033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63430332019-01-26 Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells Li, Yanfen Fanous, Michael J. Kilian, Kristopher A. Popescu, Gabriel Sci Rep Article Cancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that precedes invasion. Here we present the integration of a label-free quantitative phase imaging technique, spatial light interference microscopy (SLIM)—with protein-conjugated hydrogel substrates—to explore how the stiffness of the ECM influences melanoma cells of varying metastatic potential. Melanoma cells of high metastatic potential demonstrate increased growth and velocity characteristics relative to cells of low metastatic potential. Cell velocity in the highly metastatic population shows a relative insensitivity to matrix stiffness suggesting adoption of migratory routines that are independent of mechanics to facilitate invasion. The use of SLIM and engineered substrates provides a new approach to characterize the invasive properties of live cells as a function of microenvironment parameters. This work provides fundamental insight into the relationship between growth, migration and metastatic potential, and provides a new tool for profiling cancer cells for clinical grading and development of patient-specific therapeutic regimens. Nature Publishing Group UK 2019-01-22 /pmc/articles/PMC6343033/ /pubmed/30670739 http://dx.doi.org/10.1038/s41598-018-36551-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Yanfen Fanous, Michael J. Kilian, Kristopher A. Popescu, Gabriel Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title | Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title_full | Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title_fullStr | Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title_full_unstemmed | Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title_short | Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
title_sort | quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343033/ https://www.ncbi.nlm.nih.gov/pubmed/30670739 http://dx.doi.org/10.1038/s41598-018-36551-5 |
work_keys_str_mv | AT liyanfen quantitativephaseimagingrevealsmatrixstiffnessdependentgrowthandmigrationofcancercells AT fanousmichaelj quantitativephaseimagingrevealsmatrixstiffnessdependentgrowthandmigrationofcancercells AT kiliankristophera quantitativephaseimagingrevealsmatrixstiffnessdependentgrowthandmigrationofcancercells AT popescugabriel quantitativephaseimagingrevealsmatrixstiffnessdependentgrowthandmigrationofcancercells |