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Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy
A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individually optimized oncotherapy. Here, we develop a hybrid three-dimensional (3D) computational model that integrates pharmac...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203364/ https://www.ncbi.nlm.nih.gov/pubmed/30365511 http://dx.doi.org/10.1371/journal.pone.0206292 |
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author | Xie, Hang Jiao, Yang Fan, Qihui Hai, Miaomiao Yang, Jiaen Hu, Zhijian Yang, Yue Shuai, Jianwei Chen, Guo Liu, Ruchuan Liu, Liyu |
author_facet | Xie, Hang Jiao, Yang Fan, Qihui Hai, Miaomiao Yang, Jiaen Hu, Zhijian Yang, Yue Shuai, Jianwei Chen, Guo Liu, Ruchuan Liu, Liyu |
author_sort | Xie, Hang |
collection | PubMed |
description | A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individually optimized oncotherapy. Here, we develop a hybrid three-dimensional (3D) computational model that integrates pharmacokinetic model, continuum diffusion-reaction model and discrete cell automaton model to investigate 3D invasive solid tumor growth in heterogeneous microenvironment under chemotherapy. Specifically, we consider the effects of heterogeneous environment on drug diffusion, tumor growth, invasion and the drug-tumor interaction on individual cell level. We employ the hybrid model to investigate the evolution and growth dynamics of avascular invasive solid tumors under different chemotherapy strategies. Our simulations indicate that constant dosing is generally more effective in suppressing primary tumor growth than periodic dosing, due to the resulting continuous high drug concentration. In highly heterogeneous microenvironment, the malignancy of the tumor is significantly enhanced, leading to inefficiency of chemotherapies. The effects of geometrically-confined microenvironment and non-uniform drug dosing are also investigated. Our computational model, when supplemented with sufficient clinical data, could eventually lead to the development of efficient in silico tools for prognosis and treatment strategy optimization. |
format | Online Article Text |
id | pubmed-6203364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62033642018-11-19 Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy Xie, Hang Jiao, Yang Fan, Qihui Hai, Miaomiao Yang, Jiaen Hu, Zhijian Yang, Yue Shuai, Jianwei Chen, Guo Liu, Ruchuan Liu, Liyu PLoS One Research Article A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individually optimized oncotherapy. Here, we develop a hybrid three-dimensional (3D) computational model that integrates pharmacokinetic model, continuum diffusion-reaction model and discrete cell automaton model to investigate 3D invasive solid tumor growth in heterogeneous microenvironment under chemotherapy. Specifically, we consider the effects of heterogeneous environment on drug diffusion, tumor growth, invasion and the drug-tumor interaction on individual cell level. We employ the hybrid model to investigate the evolution and growth dynamics of avascular invasive solid tumors under different chemotherapy strategies. Our simulations indicate that constant dosing is generally more effective in suppressing primary tumor growth than periodic dosing, due to the resulting continuous high drug concentration. In highly heterogeneous microenvironment, the malignancy of the tumor is significantly enhanced, leading to inefficiency of chemotherapies. The effects of geometrically-confined microenvironment and non-uniform drug dosing are also investigated. Our computational model, when supplemented with sufficient clinical data, could eventually lead to the development of efficient in silico tools for prognosis and treatment strategy optimization. Public Library of Science 2018-10-26 /pmc/articles/PMC6203364/ /pubmed/30365511 http://dx.doi.org/10.1371/journal.pone.0206292 Text en © 2018 Xie et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Xie, Hang Jiao, Yang Fan, Qihui Hai, Miaomiao Yang, Jiaen Hu, Zhijian Yang, Yue Shuai, Jianwei Chen, Guo Liu, Ruchuan Liu, Liyu Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title | Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title_full | Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title_fullStr | Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title_full_unstemmed | Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title_short | Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
title_sort | modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203364/ https://www.ncbi.nlm.nih.gov/pubmed/30365511 http://dx.doi.org/10.1371/journal.pone.0206292 |
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