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Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line

About 20% of breast cancer tumors over-express the HER2 receptor. Trastuzumab, an approved drug to treat this type of breast cancer, is a monoclonal antibody directly binding at the HER2 receptor and ultimately inhibiting cancer cell growth. The goal of our study was to understand the early impact o...

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Autores principales: Fehling-Kaschek, Mirjam, Peckys, Diana B., Kaschek, Daniel, Timmer, Jens, Jonge, Niels de
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722142/
https://www.ncbi.nlm.nih.gov/pubmed/31481718
http://dx.doi.org/10.1038/s41598-019-49019-x
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author Fehling-Kaschek, Mirjam
Peckys, Diana B.
Kaschek, Daniel
Timmer, Jens
Jonge, Niels de
author_facet Fehling-Kaschek, Mirjam
Peckys, Diana B.
Kaschek, Daniel
Timmer, Jens
Jonge, Niels de
author_sort Fehling-Kaschek, Mirjam
collection PubMed
description About 20% of breast cancer tumors over-express the HER2 receptor. Trastuzumab, an approved drug to treat this type of breast cancer, is a monoclonal antibody directly binding at the HER2 receptor and ultimately inhibiting cancer cell growth. The goal of our study was to understand the early impact of trastuzumab on HER2 internalization and recycling in the HER2-overexpressing breast cancer cell line SKBR3. To this end, fluorescence microscopy, monitoring the amount of HER2 expression in the plasma membrane, was combined with mathematical modeling to derive the flux of HER2 receptors from and to the membrane. We constructed a dynamic multi-compartment model based on ordinary differential equations. To account for cancer cell heterogeneity, a first, dynamic model was expanded to a second model including two distinct cell phenotypes, with implications for different conformational states of HER2, i.e. monomeric or homodimeric. Our mathematical model shows that the hypothesis of fast constitutive HER2 recycling back to the plasma membrane does not match the experimental data. It conclusively describes the experimental observation that trastuzumab induces sustained receptor internalization in cells with membrane ruffles. It is also concluded that for rare, non-ruffled (flat) cells, HER2 internalization occurs three orders of magnitude slower than for the bulk, ruffled cell population.
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spelling pubmed-67221422019-09-17 Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line Fehling-Kaschek, Mirjam Peckys, Diana B. Kaschek, Daniel Timmer, Jens Jonge, Niels de Sci Rep Article About 20% of breast cancer tumors over-express the HER2 receptor. Trastuzumab, an approved drug to treat this type of breast cancer, is a monoclonal antibody directly binding at the HER2 receptor and ultimately inhibiting cancer cell growth. The goal of our study was to understand the early impact of trastuzumab on HER2 internalization and recycling in the HER2-overexpressing breast cancer cell line SKBR3. To this end, fluorescence microscopy, monitoring the amount of HER2 expression in the plasma membrane, was combined with mathematical modeling to derive the flux of HER2 receptors from and to the membrane. We constructed a dynamic multi-compartment model based on ordinary differential equations. To account for cancer cell heterogeneity, a first, dynamic model was expanded to a second model including two distinct cell phenotypes, with implications for different conformational states of HER2, i.e. monomeric or homodimeric. Our mathematical model shows that the hypothesis of fast constitutive HER2 recycling back to the plasma membrane does not match the experimental data. It conclusively describes the experimental observation that trastuzumab induces sustained receptor internalization in cells with membrane ruffles. It is also concluded that for rare, non-ruffled (flat) cells, HER2 internalization occurs three orders of magnitude slower than for the bulk, ruffled cell population. Nature Publishing Group UK 2019-09-03 /pmc/articles/PMC6722142/ /pubmed/31481718 http://dx.doi.org/10.1038/s41598-019-49019-x 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
Fehling-Kaschek, Mirjam
Peckys, Diana B.
Kaschek, Daniel
Timmer, Jens
Jonge, Niels de
Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title_full Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title_fullStr Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title_full_unstemmed Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title_short Mathematical modeling of drug-induced receptor internalization in the HER2-positive SKBR3 breast cancer cell-line
title_sort mathematical modeling of drug-induced receptor internalization in the her2-positive skbr3 breast cancer cell-line
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722142/
https://www.ncbi.nlm.nih.gov/pubmed/31481718
http://dx.doi.org/10.1038/s41598-019-49019-x
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