ArticleBiomechanics and modeling in mechanobiology2018
A model for cell migration in non-isotropic fibrin networks with an application to pancreatic tumor islets.
Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Convergence of the Immersed Interface Method in Linear Elasticity.La matematica · 2026Article
- Facilitation of Tumor Stroma-Targeted Therapy: Model Difficulty and Co-Culture Organoid Method.Pharmaceuticals (Basel, Switzerland) · 2025Review
- A formalism for modelling traction forces and cell shape evolution during cell migration in various biomedical processes.Biomechanics and modeling in mechanobiology · 2021Article
- Intratumoral Fibrosis in Facilitating Renal Cancer Aggressiveness: Underlying Mechanisms and Promising Targets.Frontiers in cell and developmental biology · 2021Review
- A Cellular Automata Model of Oncolytic Virotherapy in Pancreatic Cancer.Bulletin of mathematical biology · 2020Article
- Computational modeling of therapy on pancreatic cancer in its early stages.Biomechanics and modeling in mechanobiology · 2020Article
- EZH2 inhibition suppresses bladder cancer cell growth and metastasis via the JAK2/STAT3 signaling pathway.Oncology letters · 2019Article
- A phenomenological model for cell and nucleus deformation during cancer metastasis.Biomechanics and modeling in mechanobiology · 2018Article
- Integration ofFrontiers in physiology · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell migration, known as an orchestrated movement of cells, is crucially important for wound healing, tumor growth, immune response as well as other biomedical processes. This paper presents a cell-based model to describe cell migration in non-isotropic fibrin networks around pancreatic tumor islets. This migration is determined by the mechanical strain energy density as well as cytokines-driven chemotaxis. Cell displacement is modeled by solving a large system of ordinary stochastic differential equations where the stochastic parts result from random walk. The stochastic differential equations are solved by the use of the classical Euler-Maruyama method. In this paper, the influence of anisotropic stromal extracellular matrix in pancreatic tumor islets on T-lymphocytes migration in different immune systems is investigated. As a result, tumor peripheral stromal extracellular matrix impedes the immune response of T-lymphocytes through changing direction of their migration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.