Bio-Mechanical Model of Osteosarcoma Tumor Microenvironment: A Porous Media Approach

Author:

Hu YuORCID,Mohammad Mirzaei NavidORCID,Shahriyari LeiliORCID

Abstract

Osteosarcoma is the most common malignant bone tumor in children and adolescents with a poor prognosis. To describe the progression of osteosarcoma, we expanded a system of data-driven ODE from a previous study into a system of Reaction-Diffusion-Advection (RDA) equations and coupled it with Biot equations of poroelasticity to form a bio-mechanical model. The RDA system includes the spatio-temporal information of the key components of the tumor microenvironment. The Biot equations are comprised of an equation for the solid phase, which governs the movement of the solid tumor, and an equation for the fluid phase, which relates to the motion of cells. The model predicts the total number of cells and cytokines of the tumor microenvironment and simulates the tumor’s size growth. We simulated different scenarios using this model to investigate the impact of several biomedical settings on tumors’ growth. The results indicate the importance of macrophages in tumors’ growth. Particularly, we have observed a high co-localization of macrophages and cancer cells, and the concentration of tumor cells increases as the number of macrophages increases.

Funder

National Cancer Institute of the National Institutes of Health

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference56 articles.

1. Johns Hopkins Medicine (2020, September 12). Osteosarcoma. Available online: https://www.hopkinsmedicine.org/health/conditions-and-diseases/sarcoma/osteosarcoma.

2. PDQ Pediatric Treatment Editorial Board (2022, June 08). Osteosarcoma and Undifferentiated Pleomorphic Sarcoma of Bone Treatment (PDQ®): Health Professional Version, PDQ Cancer Information Summaries [Internet], Available online: https://www.ncbi.nlm.nih.gov/books/NBK65736/.

3. Computing steady-state solutions for a free boundary problem modeling tumor growth by Stokes equation;Hao;J. Comput. Appl. Math.,2013

4. Biological inferences from a mathematical model of comedo ductal carcinoma in situ of the breast;Franks;J. Theor. Biol.,2005

5. Mohammad Mirzaei, N., Tatarova, Z., Hao, W., Changizi, N., Asadpoure, A., Zervantonakis, I.K., Hu, Y., Chang, Y.H., and Shahriyari, L. (2022). A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice. J. Pers. Med., 12.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3