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A Multiscale Cell-Based Model of Tumor Growth for Chemotherapy Assessment and Tumor-Targeted Therapy Through a 3D Computational Approach Publisher Pubmed



Jafari Nivlouei S1, 2 ; Soltani M3, 4, 5, 6, 7 ; Shirani E1, 8 ; Salimpour MR1 ; Travasso R2 ; Carvalho J2
Authors
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Authors Affiliations
  1. 1. Department of Mechanical Engineering, Isfahan University of Technology, Isafahan, Iran
  2. 2. Department of Physics, CFisUC, University of Coimbra, Coimbra, Portugal
  3. 3. Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
  4. 4. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
  5. 5. Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada
  6. 6. Advanced Bioengineering Initiative Center, Computational Medicine Center, K. N. Toosi University of Technology, Tehran, Iran
  7. 7. Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Mechanical Engineering, Foolad Institute of Technology, Fooladshahr, Iran

Source: Cell Proliferation Published:2022


Abstract

Objectives: Computational modeling of biological systems is a powerful tool to clarify diverse processes contributing to cancer. The aim is to clarify the complex biochemical and mechanical interactions between cells, the relevance of intracellular signaling pathways in tumor progression and related events to the cancer treatments, which are largely ignored in previous studies. Materials and Methods: A three-dimensional multiscale cell-based model is developed, covering multiple time and spatial scales, including intracellular, cellular, and extracellular processes. The model generates a realistic representation of the processes involved from an implementation of the signaling transduction network. Results: Considering a benign tumor development, results are in good agreement with the experimental ones, which identify three different phases in tumor growth. Simulating tumor vascular growth, results predict a highly vascularized tumor morphology in a lobulated form, a consequence of cells' motile behavior. A novel systematic study of chemotherapy intervention, in combination with targeted therapy, is presented to address the capability of the model to evaluate typical clinical protocols. The model also performs a dose comparison study in order to optimize treatment efficacy and surveys the effect of chemotherapy initiation delays and different regimens. Conclusions: Results not only provide detailed insights into tumor progression, but also support suggestions for clinical implementation. This is a major step toward the goal of predicting the effects of not only traditional chemotherapy but also tumor-targeted therapies. © 2022 The Authors. Cell Proliferation Published by John Wiley & Sons Ltd.
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