ArticleJournal of mathematical biology2008
An age-and-cyclin-structured cell population model for healthy and tumoral tissues.
Article in Journal of mathematical biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- Characterising the Behaviour of a Structured PDE Model of the Cell Cycle in Contrast to a Corresponding ODE System.Bulletin of mathematical biology · 2025Article
- The Impact of T-cell Exhaustion Dynamics on Tumour-Immune Interactions and Tumour Growth.Bulletin of mathematical biology · 2025Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- Stability analysis of a multiscale model of cell cycle dynamics coupled with quiescent and proliferating cell populations.PloS one · 2023Article
- Analysis of the Equilibrium Phase in Immune-Controlled Tumors Provides Hints for Designing Better Strategies for Cancer Treatment.Frontiers in oncology · 2022Article
- Radiation-induced cell cycle perturbations: a computational tool validated with flow-cytometry data.Scientific reports · 2021Article
- Article
- PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signalling.Bioinformatics (Oxford, England) · 2019Article
- The finite state projection approach to analyze dynamics of heterogeneous populations.Physical biology · 2017Article
- Modeling Cancer Cell Growth DynamicsFrontiers in oncology · 2017Article
- Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Annals of biomedical engineering · 2016Review
- Surviving evolutionary escape on complex genotype-phenotype networks.Journal of mathematical biology · 2016Article
- Towards predicting the response of a solid tumour to chemotherapy and radiotherapy treatments: clinical insights from a computational model.PLoS computational biology · 2013Article
- The contribution of age structure to cell population responses to targeted therapeutics.Journal of theoretical biology · 2012Article
- A new model for the estimation of cell proliferation dynamics using CFSE data.Journal of immunological methods · 2011Article
- An automaton model for the cell cycle.Interface focus · 2011Article
- Quiescence: a mechanism for escaping the effects of drug on cell populations.Journal of the Royal Society, Interface · 2011Article
- Mathematical modeling as a tool for planning anticancer therapy.European journal of pharmacology · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a nonlinear model of the dynamics of a cell population divided into proliferative and quiescent compartments. The proliferative phase represents the complete cell cycle (G (1)-S-G (2)-M) of a population committed to divide at its end. The model is structured by the time spent by a cell in the proliferative phase, and by the amount of Cyclin D/(CDK4 or 6) complexes. Cells can transit from one compartment to the other, following transition rules which differ according to the tissue state: healthy or tumoral. The asymptotic behaviour of solutions of the nonlinear model is analysed in two cases, exhibiting tissue homeostasis or tumour exponential growth. The model is simulated and its analytic predictions are confirmed numerically.
Indexed as
Identifiers
18064465What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.