{"title":"Interaction between crowding and growth in tumours with stem cells: conceptual mathematical modelling","authors":"L. Meacci, M. Primicerio","doi":"10.1051/mmnp/2023011","DOIUrl":null,"url":null,"abstract":"The paper proposes a conceptual modelling of growth of tumours in presence of immortal multipotent cancer stem cells (CSCs) and several lineages of differentiated tumour cells (CCs).\nThe replication of CSCs is assumed symmetric or asymmetric with a prescribed mean ratio and mitosis and apoptosis are taken into account for the CCs aging. Replication can be hindered by the local crowding of the cells.\nThe model is implemented in the framework of 3D cellular automata (CA) whose dynamics is governed by stochastic rules. Simulations are displayed showing the growth of a tumour and the fractions of different lineages and age classes of CCs.\nThen, an approach that considers the same dynamics of aging, replication, and apoptosis, but studying the time evolution of the fractions of the different lineages and age classes of cells averaged over the total volume is presented. The dynamics is governed by a system of ordinary differential equations (ODEs), hence by deterministic rules. Numerical simulations of the solution of this system show qualitative similarity with the CA results, although the crowding effect is no longer a local effect, but averaged over the total volume. The proof of the mathematical well-posedness of this model is provided.","PeriodicalId":18285,"journal":{"name":"Mathematical Modelling of Natural Phenomena","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Modelling of Natural Phenomena","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1051/mmnp/2023011","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The paper proposes a conceptual modelling of growth of tumours in presence of immortal multipotent cancer stem cells (CSCs) and several lineages of differentiated tumour cells (CCs).
The replication of CSCs is assumed symmetric or asymmetric with a prescribed mean ratio and mitosis and apoptosis are taken into account for the CCs aging. Replication can be hindered by the local crowding of the cells.
The model is implemented in the framework of 3D cellular automata (CA) whose dynamics is governed by stochastic rules. Simulations are displayed showing the growth of a tumour and the fractions of different lineages and age classes of CCs.
Then, an approach that considers the same dynamics of aging, replication, and apoptosis, but studying the time evolution of the fractions of the different lineages and age classes of cells averaged over the total volume is presented. The dynamics is governed by a system of ordinary differential equations (ODEs), hence by deterministic rules. Numerical simulations of the solution of this system show qualitative similarity with the CA results, although the crowding effect is no longer a local effect, but averaged over the total volume. The proof of the mathematical well-posedness of this model is provided.
期刊介绍:
The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues.
Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.