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We study the spatial evolutionary dynamics of solid tumors as they obtain additional driver mutations. We start with a cancer clone that expands uniformly in three dimensions giving rise to a spherical shape. We assume that cell division…

种群与进化 · 定量生物学 2013-08-08 Tibor Antal , P. L. Krapivsky , M. A. Nowak

The speed and the versatility of today's computers open up new opportunities to simulate complex biological systems. Here we review a computational approach recently proposed by us to model large tumor cell populations and spheroids, and we…

组织与器官 · 定量生物学 2010-12-13 Roberto Chignola , Alessio Del Fabbro , Marcello Farina , Edoardo Milotti

Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance to establish appropriate diagnosis and therapeutic strategy…

组织与器官 · 定量生物学 2019-10-23 Miguel Martín-Landrove , Francisco Torres-Hoyos , Antonio Rueda-Toicen

Tissue self-organization into defined and well-controlled three-dimensional structures is essential during development for the generation of organs. A similar, but highly deranged process might also occur during the aberrant growth of…

细胞行为 · 定量生物学 2019-05-21 Abramo Agosti , Stefano Marchesi , Giorgio Scita , Pasquale Ciarletta

In this paper we study and extend the mechanistic mean field theory of growth of cellular populations proposed by Mombach et al in (Mombach J. C. M. et al., Europhysics Letter, 59 (2002) 923) (MLBI model), and we demonstrate that the…

组织与器官 · 定量生物学 2013-09-16 Alberto d'Onofrio

During the morphogenesis of tissues and tumors, cells often interact with neighbors with different mechanical properties, but the understanding of its role is lacking. We use active Brownian Dynamics simulations to study a model co-culture…

软凝聚态物质 · 物理学 2021-01-07 Supravat Dey , Moumita Das

The evolution of various competing cell types in tissues, and the resulting persistent tissue population, is studied numerically and analytically in a particle-based model of active tissues. Mutations change the properties of cells in…

种群与进化 · 定量生物学 2024-06-03 Tobias Büscher , Nirmalendu Ganai , Gerhard Gompper , Jens Elgeti

Existing studies comparing individual-based models of growing cell populations and their continuum counterparts have mainly focused on homogeneous populations, in which all cells have the same phenotypic characteristics. However,…

种群与进化 · 定量生物学 2022-06-06 Fiona R Macfarlane , Xinran Ruan , Tommaso Lorenzi

Cancer is a complex disease that is characterized by uncontrolled growth and division of cells. It involves a complex interplay between genetic and environmental factors that lead to the initiation and progression of tumors. Recent advances…

生物大分子 · 定量生物学 2025-02-07 Reza Bozorgpour

Multiple myeloma is a plasma cell cancer that leads to a dysregulated bone remodeling process. We present a partial differential equation model describing the dynamics of bone remodeling with the presence of myeloma tumor cells. The model…

细胞行为 · 定量生物学 2015-11-18 Catherine E. Patterson , Bruce P. Ayati , Sarah A. Holstein

Tumour cells have to acquire a number of capabilities if a neoplasm is to become a cancer. One of these key capabilities is increased motility which is needed for invasion of other tissues and metastasis. This paper presents a qualitative…

组织与器官 · 定量生物学 2009-09-29 David Basanta , Haralambos Hatzikirou , Andreas Deutsch

Tumor growth, which plays a central role in cancer evolution, depends on both the internal features of the cells, such as their ability for unlimited duplication, and the external conditions, e.g., supply of nutrients, as well as the…

生物物理 · 物理学 2018-06-19 Youness Azimzade , Abbas Ali Saberi , Muhammad Sahimi

We present a multiphase mathematical model for tumor growth which incorporates the remodeling of the extracellular matrix and describes the formation of fibrotic tissue by tumor cells. We also detail a full qualitative analysis of the…

数学物理 · 物理学 2010-08-09 Andrea Tosin , Luigi Preziosi

It is well established that the mechanical environment influences cell functions in health and disease. Here, we address how the mechanical environment influences tumor growth, in particular, the shape of solid tumors. In an in vitro tumor…

组织与器官 · 定量生物学 2015-06-19 Kristen L. Mills , Ralf Kemkemer , Shiva Rudraraju , Krishna Garikipati

Predictive modeling of the evolutionary dynamics of cancer is a challenge issue in computational cancer biology. In this paper, we propose a general mathematical model framework for the evolutionary dynamics of cancer with plasticity and…

细胞行为 · 定量生物学 2020-01-10 Jinzhi Lei

The recent advances in cancer immunotherapy boosted the development of tumor-immune system models aiming to provide mechanistic understanding and indicate more efficient treatment regimes. However, the complexity of such models, their…

动力系统 · 数学 2023-09-18 Dimitrios G. Patsatzis

We propose an extension of a standard stochastic individual-based model in population dynamics which broadens the range of biological applications. Our primary motivation is modelling of immunotherapy of malignant tumours. In this context…

种群与进化 · 定量生物学 2016-04-18 Martina Baar , Loren Coquille , Hannah Mayer , Michael Hölzel , Meri Rogava , Thomas Tüting , Anton Bovier

Understanding how growth induces form is a longstanding biological question. Many studies concentrated on the shapes of plant cells, fungi or bacteria. Some others have shown the importance of the mechanical properties of bacterial walls…

生物物理 · 物理学 2007-05-23 Arezki Boudaoud

In the present article the diffusion equation is used to model the spatio-temporal dynamics of a tumor, taking into account the heterogeneous of the medium. This approach makes it possible to take into account the complex geometric shape of…

生物物理 · 物理学 2023-02-07 Maxim V. Polyakov , Valeria V. Ten

We present a model for the interaction dynamics of lymphocytes-tumor cells population. This model reproduces all known states for the tumor. Futherly,we develop it taking into account periodical immunotheraphy treatment with cytokines…