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We investigate noise-induced pattern formation in a model of cancer growth based on Michaelis-Menten kinetics, subject to additive and multiplicative noises. We analyse stability properties of the system and discuss the role of diffusion…

细胞行为 · 定量生物学 2007-05-23 Anna Ochab-Marcinek

Collective migration dominates many phenomena, from cell movement in living systems to abiotic self-propelling particles. Focusing on the early stages of tumor evolution, we enunciate the principles involved in cell dynamics and highlight…

细胞行为 · 定量生物学 2018-05-02 Abdul N Malmi-Kakkada , Xin Li , Himadri S. Samanta , Sumit Sinha , D. Thirumalai

We apply our statistically deterministic machine learning/clustering algorithm *K-means (recently developed in https://ssrn.com/abstract=2908286) to 10,656 published exome samples for 32 cancer types. A majority of cancer types exhibit…

基因组学 · 定量生物学 2017-08-16 Zura Kakushadze , Willie Yu

First, we revisit the stochastic Luria-Delbr\"uck model: a classic two-type branching process which describes cell proliferation and mutation. We prove limit theorems and exact results for the mutation times, clone sizes, and number of…

概率论 · 数学 2018-09-05 David Cheek , Tibor Antal

We study pattern formation of skin cancers by means of numerical simulation of a binary system consisting of cancer and healthy cells. We extend the conventional Model H for macrophase separations by considering a logistic growth of cancer…

软凝聚态物质 · 物理学 2019-03-27 Takuma Hoshino , Ming-Wei Liu , Kuo-An Wu , Hsuan-Yi Chen , Tatsuaki Tsuruyama , Shigeyuki Komura

Multitype branching processes are ideal for studying the population dynamics of stem cell populations undergoing mutation accumulation over the years following transplant. In such stochastic models, several quantities are of clinical…

种群与进化 · 定量生物学 2021-11-17 Timothy C Stutz , Janet S. Sinsheimer , Mary Sehl , Jason Xu

Tumor samples are heterogeneous. They consist of different subclones that are characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Heterogeneity can be measured through the identification of the…

统计方法学 · 统计学 2014-09-26 Juhee Lee , Peter Mueller , Subhajit Sengupta , Kamalakar Gulukota , Yuan Ji

Cancer cell migration between different body parts is the driving force behind cancer metastasis, which is the main cause of mortality of patients. Migration of cancer cells often proceeds by penetration through narrow cavities in locally…

细胞行为 · 定量生物学 2023-05-02 Qiyao Peng , Fred J Vermolen , Daphne Weihs

Tumors initiate when a population of proliferating cells accumulates a certain number and type of genetic and/or epigenetic alterations. The population dynamics of such sequential acquisition of (epi)genetic alterations has been the topic…

种群与进化 · 定量生物学 2015-04-09 Peter Ashcroft , Franziska Michor , Tobias Galla

The ability to locally degrade the extracellular matrix (ECM) and interact with the tumour microenvironment is a key process distinguishing cancer from normal cells, and is a critical step in the metastatic spread of the tumour. The…

细胞行为 · 定量生物学 2018-05-29 Nikolaos Sfakianakis , Anotida Madzvamuse , Mark A. J. Chaplain

In this work we present a flexible tool for tumor progression, which simulates the evolutionary dynamics of cancer. Tumor progression implements a multi-type branching process where the key parameters are the fitness landscape, the mutation…

种群与进化 · 定量生物学 2013-03-22 Johannes G. Reiter , Ivana Bozic , Krishnendu Chatterjee , Martin A. Nowak

Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial increase of network plasticity is followed by a decrease of…

The phenotypic plasticity of cancer cells has received special attention in recent years. Even though related models have been widely studied in terms of mathematical properties, a thorough statistical analysis on parameter estimation and…

细胞行为 · 定量生物学 2017-12-05 Da Zhou , Shanjun Mao , Kaiyi Chen , Xiaofang Cao , Jie Hu

In this paper we study the growth of a tumor colony of multilayer type and focus on how the tumor grows from a near flat (when compared to the length of the tumor as, for instance, in the case of a bone tumor in a femur) initial colony. In…

偏微分方程分析 · 数学 2026-01-15 Rafael Granero-Belinchón , Martina Magliocca

We investigate morphologies of proliferating cellular tissues using a newly developed numerical simulation model for mechanical cell division and migration in 2D. The model is applied to a bimodal mixture consisting of stiff cells with a…

软凝聚态物质 · 物理学 2021-05-26 Pranav Madhikar , Jan Åström , Björn Baumeier , Mikko Karttunen

The spread of metastases is a crucial process in which some questions remain unanswered. In this work, we focus on tumor cells circulating in the bloodstream, the so-called Circulating Tumor Cells (CTCs). Our aim is to characterize their…

组织与器官 · 定量生物学 2025-01-22 Giorgia Ciavolella , Julien Granet , Jacky Goetz , Nael Osmani , Christèle Etchegaray , Annabelle Collin

Due to over-metabolism, the tumour cells become hypoxic. To overcome this situation tumour cells secret several chemical substrates to attract nearby blood vessels towards it (angiogenesis). Transition from avascular to vascular tumour is…

生物物理 · 物理学 2019-09-06 Sounak Sadhukhan , S. K. Basu

In this paper we consider a model based on branching process theory for the proliferation and the dissemination network of T cells in the adaptive immune response. A multi-type Galton Watson branching process is assumed as the basic…

定量方法 · 定量生物学 2015-06-09 Alessandro Boianelli , Antonio Vicino

Cancer cells can acquire a spectrum of stable hybrid epithelial/mesenchymal (E/M) states during epithelial-mesenchymal transition (EMT). Cells in these hybrid E/M phenotypes often combine epithelial and mesenchymal features and tend to…

We present a stochastic model which describes fronts of cells invading a wound. In the model cells can move, proliferate, and experience cell-cell adhesion. We find several qualitatively different regimes of front motion and analyze the…

细胞行为 · 定量生物学 2009-11-13 Evgeniy Khain , Leonard M. Sander , Casey M. Schneider-Mizell