Dataset Information

Moore_2004_Mathematical model for CML and T cell interaction

ABSTRACT: Its a mathematical model depicting CML (chronic myelogenous leukemia) interaction with T cells and impact of T cell activations on CML progression over time.

SUBMITTER: Krishna Kumar Tiwari

PROVIDER: BIOMD0000000733 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000733?filename=Moore_2004_fig6-biopax2.owl	Owl
	BIOMD0000000733?filename=Moore_2004_fig6-biopax3.owl	Owl
	BIOMD0000000733?filename=Moore_2004_fig6-matlab.m	Other
	BIOMD0000000733?filename=Moore_2004_fig6-octave.m	Other
	BIOMD0000000733?filename=Moore_2004_fig6.cps	Other

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Publications

A mathematical model for chronic myelogenous leukemia (CML) and T cell interaction.

Moore Helen H Li Natasha K NK

Journal of theoretical biology 20040401 4

In this paper, we propose and analyse a mathematical model for chronic myelogenous leukemia (CML), a cancer of the blood. We model the interaction between naive T cells, effector T cells, and CML cancer cells in the body, using a system of ordinary differential equations which gives rates of change of the three cell populations. One of the difficulties in modeling CML is the scarcity of experimental data which can be used to estimate parameters values. To compensate for the resulting uncertainti ...[more]

PMID: 15038986

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Project description:Moore2004 - Chronic Myeloid Leukemic cells and T-lymphocytes interaction A mathematical model for the interaction of between cancer cells and immune system, involving CML cancer cells, naive and effector T-lymphocytes. This model is described in the article: A mathematical model for chronic myelogenous leukemia (CML) and T cell interaction. Moore H, Li NK. J. Theor. Biol. 2004 Apr; 227(4): 513-523 Abstract: In this paper, we propose and analyse a mathematical model for chronic myelogenous leukemia (CML), a cancer of the blood. We model the interaction between naive T cells, effector T cells, and CML cancer cells in the body, using a system of ordinary differential equations which gives rates of change of the three cell populations. One of the difficulties in modeling CML is the scarcity of experimental data which can be used to estimate parameters values. To compensate for the resulting uncertainties, we use Latin hypercube sampling (LHS) on large ranges of possible parameter values in our analysis. A major goal of this work is the determination of parameters which play a critical role in remission or clearance of the cancer in the model. Our analysis examines 12 parameters, and identifies two of these, the growth and death rates of CML, as critical to the outcome of the system. Our results indicate that the most promising research avenues for treatments of CML should be those that affect these two significant parameters (CML growth and death rates), while altering the other parameters should have little effect on the outcome. This model is hosted on BioModels Database and identified by: BIOMD0000000662. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.