Literature DB >> 23906156

T model of growth and its application in systems of tumor-immune dynamics.

Mohammad A Tabatabai1, Wayne M Eby, Karan P Singh, Sejong Bae.   

Abstract

In this paper we introduce a new growth model called T growth model. This model is capable of representing sigmoidal growth as well as biphasic growth. This dual capability is achieved without introducing additional parameters. The T model is useful in modeling cellular proliferation or regression of cancer cells, stem cells, bacterial growth and drug dose-response relationships. We recommend usage of the T growth model for the growth of tumors as part of any system of differential equations. Use of this model within a system will allow more flexibility in representing the natural rate of tumor growth. For illustration, we examine some systems of tumor-immune interaction in which the T growth rate is applied. We also apply the model to a set of tumor growth data.

Entities:  

Mesh:

Year:  2013        PMID: 23906156      PMCID: PMC4476034          DOI: 10.3934/mbe.2013.10.925

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  20 in total

1.  Optimal control in a model of dendritic cell transfection cancer immunotherapy.

Authors:  Filippo Castiglione; Benedetto Piccoli
Journal:  Bull Math Biol       Date:  2006-03-28       Impact factor: 1.758

2.  NUP98-HOXA9 induces long-term proliferation and blocks differentiation of primary human CD34+ hematopoietic cells.

Authors:  Akiko Takeda; Charles Goolsby; Nabeel R Yaseen
Journal:  Cancer Res       Date:  2006-07-01       Impact factor: 12.701

3.  Mathematical modeling of cancer radiovirotherapy.

Authors:  David Dingli; Matthew D Cascino; Kresimir Josić; Stephen J Russell; Zeljko Bajzer
Journal:  Math Biosci       Date:  2005-12-22       Impact factor: 2.144

4.  Biphasic effects of zeranol on the growth of estrogen receptor-positive human breast carcinoma cells.

Authors:  Takashi Yuri; Reiko Tsukamoto; Katsuaki Miki; Norihisa Uehara; Yoichiro Matsuoka; Airo Tsubura
Journal:  Oncol Rep       Date:  2006-12       Impact factor: 3.906

5.  Cancer immunotherapy by interleukin-21: potential treatment strategies evaluated in a mathematical model.

Authors:  Antonio Cappuccio; Moran Elishmereni; Zvia Agur
Journal:  Cancer Res       Date:  2006-07-15       Impact factor: 12.701

6.  Nonlinear dynamics of immunogenic tumors: parameter estimation and global bifurcation analysis.

Authors:  V A Kuznetsov; I A Makalkin; M A Taylor; A S Perelson
Journal:  Bull Math Biol       Date:  1994-03       Impact factor: 1.758

7.  Modeling immunotherapy of the tumor-immune interaction.

Authors:  D Kirschner; J C Panetta
Journal:  J Math Biol       Date:  1998-09       Impact factor: 2.259

8.  Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents.

Authors:  Monica Simeoni; Paolo Magni; Cristiano Cammia; Giuseppe De Nicolao; Valter Croci; Enrico Pesenti; Massimiliano Germani; Italo Poggesi; Maurizio Rocchetti
Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

9.  Dynamic response of cancer under the influence of immunological activity and therapy.

Authors:  Harold P de Vladar; Jorge A González
Journal:  J Theor Biol       Date:  2004-04-07       Impact factor: 2.691

10.  Hyperbolastic growth models: theory and application.

Authors:  Mohammad Tabatabai; David Keith Williams; Zoran Bursac
Journal:  Theor Biol Med Model       Date:  2005-03-30       Impact factor: 2.432

View more
  2 in total

1.  Chaos synchronization and Nelder-Mead search for parameter estimation in nonlinear pharmacological systems: Estimating tumor antigenicity in a model of immunotherapy.

Authors:  Nikhil Pillai; Morgan Craig; Aristeidis Dokoumetzidis; Sorell L Schwartz; Robert Bies; Immanuel Freedman
Journal:  Prog Biophys Mol Biol       Date:  2018-06-19       Impact factor: 3.667

2.  Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.

Authors:  Guido Santos; Svetoslav Nikolov; Xin Lai; Martin Eberhardt; Florian S Dreyer; Sushmita Paul; Gerold Schuler; Julio Vera
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.