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相关论文: A flux-limited model for glioma patterning with hy…

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We deduce a model for glioma invasion making use of DTI data and accounting for the dynamics of brain tissue being actively degraded by tumor cells via excessive acidity production, but also according to the local orientation of tissue…

组织与器官 · 定量生物学 2020-06-23 G. Corbin , C. Engwer , A. Klar , J. Nieto , J. Soler , C. Surulescu , M. Wenske

We propose a novel approach to modeling cell migration in an anisotropic environment with biochemical heterogeneity and interspecies interactions, using as a paradigm glioma invasion in brain tissue under the influence of hypoxia-triggered…

组织与器官 · 定量生物学 2021-04-14 Anne Dietrich , Niklas Kolbe , Nikolaos Sfakianakis , Christina Surulescu

Gliomas are primary brain tumors with a high invasive potential and infiltrative spread. Among them, glioblastoma multiforme (GBM) exhibits microvascular hyperplasia and pronounced necrosis triggered by hypoxia. Histological samples showing…

组织与器官 · 定量生物学 2025-11-04 Pawan Kumar , Jing Li , Christina Surulescu

In this work, we develop a stochastic multiscale model for glioma growth and invasion in the brain, incorporating the effects of therapeutic interventions. The model accounts for tumor cell migration influenced by brain tissue heterogeneity…

细胞行为 · 定量生物学 2026-02-10 Martina Conte , Sandesh Hiremath , Christina Surulescu

Starting from kinetic transport equations and subcellular dynamics we deduce a multiscale model for glioma invasion relying on the go-or-grow dichotomy and the influence of vasculature, acidity, and brain tissue anisotropy. Numerical…

组织与器官 · 定量生物学 2020-07-27 Martina Conte , Christina Surulescu

We consider a phenotype-structured reaction-diffusion model of avascular glioma growth. The model describes the interaction dynamics between tumour cells and oxygen, and takes into account anisotropic cell movement and oxygen diffusion…

种群与进化 · 定量生物学 2025-09-29 Francesca Ballatore , Xinran Ruan , Chiara Giverso , Tommaso Lorenzi

Tumour invasion is an essential stage of cancer progression. Its main drivers are diffusion and taxis, a directed movement along the gradient of a stimulus. Here we review models with flux limited diffusion and/or taxis which have…

偏微分方程分析 · 数学 2022-03-10 Anna Zhigun

We propose a multiphase modeling approach to describe glioma pseudopalisade patterning under the influence of acidosis. The phases considered at the model onset are glioma, normal tissue, necrotic matter, and interstitial fluid in a…

组织与器官 · 定量生物学 2021-06-30 Pawan Kumar , Christina Surulescu , Anna Zhigun

The effectiveness of oncolytic virotherapy is significantly affected by several elements of the tumour microenvironment, which reduce the ability of the virus to infect cancer cells. In this work, we focus on the influence of hypoxia on…

组织与器官 · 定量生物学 2026-03-26 David Morselli , Giulia Chiari , Federico Frascoli , Marcello E. Delitala

In cancer, treatment failure and disease recurrence have been associated with small subpopulations of cancer cells with a stem-like phenotype. In this paper, we develop and investigate a phenotype-structured model of solid tumour growth in…

细胞行为 · 定量生物学 2021-01-15 Giulia L. Celora , Helen M. Byrne , Christos Zois , Panos G. Kevrekidis

In this paper, we propose a tumor growth model to incorporate and investigate the spatial effects of autophagy. The cells are classified into two phases: normal cells and autophagic cells, whose dynamics are also coupled with the nutrients.…

偏微分方程分析 · 数学 2021-08-31 Xu'an Dou , Jian-Guo Liu , Zhennan Zhou

This paper deals with a nonlinear system of partial differential equations modeling a simplified tumor-induced angiogenesis taking into account only the interplay between tumor angiogenic factors and endothelial cells. Considered model…

偏微分方程分析 · 数学 2015-06-04 Tomasz Cieslak , Cristian Morales-Rodrigo

Glioblastoma are known to infiltrate the brain parenchyma instead of forming a solid tumor mass with a defined boundary. Only the part of the tumor with high tumor cell density can be localized through imaging directly. In contrast, brain…

We consider a one-dimensional version of a model obtained in [C. Engwer, A. Hunt, and C. Surulescu: Effective equations for anisotropic glioma spread with proliferation: a multiscale approach and comparisons with previous settings, IMA J.…

偏微分方程分析 · 数学 2025-11-04 Michael Winkler , Christina Surulescu

We propose a mathematical model for tumor invasion supported by angiogenesis and interactions with the surrounding tissue. For the model deduction we employ a multiscale approach starting from lower scales and obtaining by an informal…

偏微分方程分析 · 数学 2024-12-06 Christina Surulescu , Michael Winkler

Microscale oxygenation plays a prominent role in tumour progression. Spatiotemporal variability of oxygen distribution in the tumour microenvironment contributes to cellular heterogeneity and to the emergence of normoxic and hypoxic…

组织与器官 · 定量生物学 2022-01-28 Jesús J. Bosque , Gabriel F. Calvo , María Cruz Navarro

Starting from a two-scale description involving receptor binding dynamics and a kinetic transport equation for the evolution of the cell density function under velocity reorientations, we deduce macroscopic models for glioma invasion…

数值分析 · 数学 2018-04-04 Gregor Corbin , Alexander Hunt , Florian Schneider , Axel Klar , Christina Surulescu

In this paper we study a reduced continuous model describing the local evolution of high grade gliomas - a lethal type of primary brain tumor - through the interplay of different cellular phenotypes. We show how hypoxic events, even…

定量方法 · 定量生物学 2014-05-05 Rosa Pardo , Alicia Martinez-Gonzalez , Victor M. Perez-Garcia

We propose here a multiscale model for study the effect of combined therapies on glioma spread in the brain under the influence of vascularization. The model accounts for the interplay between the different components of the neoplasm and…

细胞行为 · 定量生物学 2026-03-10 Martina Conte , Yvonne Dzierma , Sven Knobe , Christina Surulescu

Existing approaches to modeling the dynamics of brain tumor growth, specifically glioma, employ biologically inspired models of cell diffusion, using image data to estimate the associated parameters. In this work, we propose an alternative…

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