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A Multicellular Mechanochemical Model to Investigate Tumor Microenvironment Remodeling and Pre-Metastatic Niche Formation.

作者信息

Hirway Shreyas U, Nairon Kylie G, Skardal Aleksander, Weinberg Seth H

机构信息

Department of Biomedical Engineering, The Ohio State University, Columbus, OH USA.

出版信息

Cell Mol Bioeng. 2024 Nov 13;17(6):573-596. doi: 10.1007/s12195-024-00831-0. eCollection 2024 Dec.


DOI:10.1007/s12195-024-00831-0
PMID:39926379
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11799507/
Abstract

INTRODUCTION: Colorectal cancer (CRC) is a major cause of cancer related deaths in the United States, with CRC metastasis to the liver being a common occurrence. The development of an optimal metastatic environment is essential process prior to tumor metastasis. This process, called pre-metastatic niche (PMN) formation, involves activation of key resident liver cells, including fibroblast-like stellate cells and macrophages such as Kupffer cells. Tumor-mediated factors introduced to this environment transform resident cells that secrete additional growth factors and remodel the extracellular matrix (ECM), which is thought to promote tumor colonization and metastasis in the secondary environment. METHODS: To investigate the underlying mechanisms of these dynamics, we developed a multicellular computational model to characterize the spatiotemporal dynamics of the PMN formation in tissue. This modeling framework integrates intracellular and extracellular signaling, and traction and junctional forces into a Cellular Potts model, and represents multiple cell types with varying levels of cellular activation. We perform numerical experiments to investigate the role of key factors in PMN formation and tumor invasiveness, including growth factor concentration, timing of tumor arrival, relative composition of resident cells, and the size of invading tumor cluster. RESULTS: These parameter studies identified growth factor availability and ECM concentration in the environment as two of the key determinants of tumor invasiveness. We further predict that both the ECM concentration potential and growth factor sensitivity of the stellate cells are key drivers of the PMN formation and associated ECM concentration. CONCLUSIONS: Overall, this modeling framework represents a significant step towards simulating cancer metastasis and investigating the role of key factors on PMN formation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12195-024-00831-0.

摘要

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本文引用的文献

[1]
Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitions.

Comput Syst Oncol. 2021-6

[2]
Diagnosis and Treatment of Metastatic Colorectal Cancer: A Review.

JAMA. 2021-2-16

[3]
Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.

Front Bioeng Biotechnol. 2020-6-11

[4]
A hybrid model of intercellular tension and cell-matrix mechanical interactions in a multicellular geometry.

Biomech Model Mechanobiol. 2020-12

[5]
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CA Cancer J Clin. 2020-3-5

[6]
Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition.

Biophys J. 2020-4-7

[7]
Multiscale modeling of solid stress and tumor cell invasion in response to dynamic mechanical microenvironment.

Biomech Model Mechanobiol. 2020-4

[8]
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Cells. 2019-9-20

[9]
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J Theor Biol. 2019-8-17

[10]
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Front Cell Dev Biol. 2019-7-19

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