A computational model for investigating tumor apoptosis induced by mesenchymal stem cell-derived secretome
type: Item
instance of: scholarly article
title: A computational model for investigating tumor apoptosis induced by mesenchymal stem cell-derived secretome
zbMATH Open document ID: 1423.92046
DOI: 10.1155/2016/4910603
author: Melisa Hendrata
author: Janti Sudiono
published in: Computational \& Mathematical Methods in Medicine
publication date: 2017-08-04T00:00:00Z
review text: Summary: Apoptosis is a programmed cell death that occurs naturally in physiological and pathological conditions. Defective apoptosis can trigger the development and progression of cancer. Experiments suggest the ability of secretome derived from mesenchymal stem cells (MSC) to induce apoptosis in cancer cells. We develop a hybrid discrete-continuous multiscale model to further investigate the effect of MSC-derived secretome in tumor growth. The model encompasses three biological scales. At the molecular scale, a system of ordinary differential equations regulate the expression of proteins involved in apoptosis signaling pathways. At the cellular scale, discrete equations control cellular migration, phenotypic switching, and proliferation. At the extracellular scale, a system of partial differential equations are employed to describe the dynamics of microenvironmental chemicals concentrations. The simulation is able to produce both avascular tumor growth rate and phenotypic patterns as observed in the experiments. In addition, we obtain good quantitative agreements with the experimental data on the apoptosis of HeLa cancer cells treated with MSC-derived secretome. We use this model to predict the growth of avascular tumor under various secretome concentrations over time.
Mathematics Subject Classification ID: 92C37
Mathematics Subject Classification ID: 92C15
Mathematics Subject Classification ID: 35Q92
zbMATH DE Number: 6756930
zbMATH Keywords: tumor apoptosis
zbMATH Keywords: mesenchymal stem cell-derived secretome
zbMATH Keywords: partial differential equations
Wikidata QID: Q36221256
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/4910603
OpenAlex ID: W2553990498
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DBLP publication ID: journals/cmmm/HendrataS16
description: scientific article; zbMATH DE number 6756930