Literature DB >> 35773547

Combining Mechanisms of Growth Arrest in Solid Tumours: A Mathematical Investigation.

Helen M Byrne1, Philip K Maini1, Chloé Colson2.   

Abstract

The processes underpinning solid tumour growth involve the interactions between various healthy and tumour tissue components and the vasculature, and can be affected in different ways by cancer treatment. In particular, the growth-limiting mechanisms at play may influence tumour responses to treatment. In this paper, we propose a simple ordinary differential equation model of solid tumour growth to investigate how tumour-specific mechanisms of growth arrest may affect tumour response to different combination cancer therapies. We consider the interactions of tumour cells with the physical space in which they proliferate and a nutrient supplied by the tumour vasculature, with the aim of representing two distinct growth arrest mechanisms. More specifically, we wish to consider growth arrest due to (1) nutrient deficiency, which corresponds to balancing cell proliferation and death rates, and (2) competition for space, which corresponds to cessation of proliferation without cell death. We perform numerical simulations of the model and a steady-state analysis to determine the possible tumour growth scenarios described by the model. We find that there are three distinct growth regimes: the nutrient- and spatially limited regimes and a bi-stable regime, in which both growth arrest mechanisms are simultaneously active. Thus, the proposed model has the features required to investigate and distinguish tumour responses to different cancer treatments.
© 2022. The Author(s).

Entities:  

Keywords:  Bi-stability; Growth-limiting mechanisms; Ordinary differential equation model; Tumour growth

Mesh:

Year:  2022        PMID: 35773547      PMCID: PMC9246818          DOI: 10.1007/s11538-022-01034-2

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   3.871


  23 in total

1.  Tumor development under angiogenic signaling: a dynamical theory of tumor growth, treatment response, and postvascular dormancy.

Authors:  P Hahnfeldt; D Panigrahy; J Folkman; L Hlatky
Journal:  Cancer Res       Date:  1999-10-01       Impact factor: 12.701

2.  Continuum versus discrete model: a comparison for multicellular tumour spheroids.

Authors:  Gernot Schaller; Michael Meyer-Hermann
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2006-06-15       Impact factor: 4.226

3.  The rate of oxygen utilization by cells.

Authors:  Brett A Wagner; Sujatha Venkataraman; Garry R Buettner
Journal:  Free Radic Biol Med       Date:  2011-05-27       Impact factor: 7.376

4.  Modeling LSD1-Mediated Tumor Stagnation.

Authors:  Jesse Milzman; Wanqiang Sheng; Doron Levy
Journal:  Bull Math Biol       Date:  2021-01-12       Impact factor: 1.758

Review 5.  Angiogenesis in cancer and other diseases.

Authors:  P Carmeliet; R K Jain
Journal:  Nature       Date:  2000-09-14       Impact factor: 49.962

6.  Mathematical modelling of radiotherapy strategies for early breast cancer.

Authors:  Heiko Enderling; Alexander R A Anderson; Mark A J Chaplain; Alastair J Munro; Jayant S Vaidya
Journal:  J Theor Biol       Date:  2005-12-28       Impact factor: 2.691

7.  A single-cell-based model of tumor growth in vitro: monolayers and spheroids.

Authors:  Dirk Drasdo; Stefan Höhme
Journal:  Phys Biol       Date:  2005-07-12       Impact factor: 2.583

8.  Estimation of rat mammary tumor volume using caliper and ultrasonography measurements.

Authors:  Ana Faustino-Rocha; Paula A Oliveira; Jacinta Pinho-Oliveira; Catarina Teixeira-Guedes; Ruben Soares-Maia; Rui Gil da Costa; Bruno Colaço; Maria João Pires; Jorge Colaço; Rita Ferreira; Mário Ginja
Journal:  Lab Anim (NY)       Date:  2013-06       Impact factor: 12.625

Review 9.  A history of the study of solid tumour growth: the contribution of mathematical modelling.

Authors:  R P Araujo; D L S McElwain
Journal:  Bull Math Biol       Date:  2004-09       Impact factor: 1.758

10.  A time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy.

Authors:  Junyan Liu; David A Hormuth; Tessa Davis; Jianchen Yang; Matthew T McKenna; Angela M Jarrett; Heiko Enderling; Amy Brock; Thomas E Yankeelov
Journal:  Integr Biol (Camb)       Date:  2021-07-08       Impact factor: 3.177

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.