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Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study

Radiation-induced fibrosis (RIF) is the main late radiation toxicity in breast cancer patients. Most of the current 3D in vitro breast cancer models are composed by cancer cells only and are unable to reproduce the complex cellular homeostasis within the tumor microenvironment to study RIF mechanism...

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Autores principales: Yakavets, Ilya, Francois, Aurelie, Benoit, Alice, Merlin, Jean-Louis, Bezdetnaya, Lina, Vogin, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718236/
https://www.ncbi.nlm.nih.gov/pubmed/33277538
http://dx.doi.org/10.1038/s41598-020-78087-7
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author Yakavets, Ilya
Francois, Aurelie
Benoit, Alice
Merlin, Jean-Louis
Bezdetnaya, Lina
Vogin, Guillaume
author_facet Yakavets, Ilya
Francois, Aurelie
Benoit, Alice
Merlin, Jean-Louis
Bezdetnaya, Lina
Vogin, Guillaume
author_sort Yakavets, Ilya
collection PubMed
description Radiation-induced fibrosis (RIF) is the main late radiation toxicity in breast cancer patients. Most of the current 3D in vitro breast cancer models are composed by cancer cells only and are unable to reproduce the complex cellular homeostasis within the tumor microenvironment to study RIF mechanisms. In order to account complex cellular interactions within the tumor microenvironment, an advanced 3D spheroid model, consisting of the luminal breast cancer MCF-7 cells and MRC-5 fibroblasts, was developed. The spheroids were generated using the liquid overlay technique in culture media into 96-well plates previously coated with 1% agarose (m/v, in water). In total, 21 experimental setups were tested during the optimization of the model. The generated spheroids were characterized using fluorescence imaging, immunohistology and immunohistochemistry. The expression of ECM components was confirmed in co-culture spheroids. Using α-SMA staining, we confirmed the differentiation of healthy fibroblasts into myofibroblasts upon the co-culturing with cancer cells. The induction of fibrosis was studied in spheroids treated 24 h with 10 ng/mL TGF-β and/or 2 Gy irradiation. Overall, the developed advanced 3D stroma-rich in vitro model of breast cancer provides a possibility to study fibrosis mechanisms taking into account 3D arrangement of the complex tumor microenvironment.
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spelling pubmed-77182362020-12-08 Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study Yakavets, Ilya Francois, Aurelie Benoit, Alice Merlin, Jean-Louis Bezdetnaya, Lina Vogin, Guillaume Sci Rep Article Radiation-induced fibrosis (RIF) is the main late radiation toxicity in breast cancer patients. Most of the current 3D in vitro breast cancer models are composed by cancer cells only and are unable to reproduce the complex cellular homeostasis within the tumor microenvironment to study RIF mechanisms. In order to account complex cellular interactions within the tumor microenvironment, an advanced 3D spheroid model, consisting of the luminal breast cancer MCF-7 cells and MRC-5 fibroblasts, was developed. The spheroids were generated using the liquid overlay technique in culture media into 96-well plates previously coated with 1% agarose (m/v, in water). In total, 21 experimental setups were tested during the optimization of the model. The generated spheroids were characterized using fluorescence imaging, immunohistology and immunohistochemistry. The expression of ECM components was confirmed in co-culture spheroids. Using α-SMA staining, we confirmed the differentiation of healthy fibroblasts into myofibroblasts upon the co-culturing with cancer cells. The induction of fibrosis was studied in spheroids treated 24 h with 10 ng/mL TGF-β and/or 2 Gy irradiation. Overall, the developed advanced 3D stroma-rich in vitro model of breast cancer provides a possibility to study fibrosis mechanisms taking into account 3D arrangement of the complex tumor microenvironment. Nature Publishing Group UK 2020-12-04 /pmc/articles/PMC7718236/ /pubmed/33277538 http://dx.doi.org/10.1038/s41598-020-78087-7 Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yakavets, Ilya
Francois, Aurelie
Benoit, Alice
Merlin, Jean-Louis
Bezdetnaya, Lina
Vogin, Guillaume
Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title_full Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title_fullStr Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title_full_unstemmed Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title_short Advanced co-culture 3D breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
title_sort advanced co-culture 3d breast cancer model for investigation of fibrosis induced by external stimuli: optimization study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718236/
https://www.ncbi.nlm.nih.gov/pubmed/33277538
http://dx.doi.org/10.1038/s41598-020-78087-7
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