Literature DB >> 15772825

The competitive dynamics between tumor cells, a replication-competent virus and an immune response.

Youshan Tao1, Qian Guo.   

Abstract

Replication-competent viruses have been used as an alternative therapeutic approach for cancer treatment. However, new clinical data revealed an innate immune response to virus that may mitigate the effects of treatment. Recently, Wein, Wu and Kirn have established a model which describes the interaction between tumor cells, a replication-competent virus and an immune response (Cancer Research 63 (2003):1317-1324). The purpose of this paper is to extend their model from the viewpoints of mathematics and biology and then prove global existence and uniqueness of solution to this new model, to study the dynamics of this novel therapy for cancers, and to explore a explicit threshold of the intensity of the immune response for controlling the tumor. We also study a time-delayed version of the model. We analytically prove that there exists a critical value tau0 of the time-delay tau such that the system has a periodic solution if tau > tau0. Numerical simulations are given to verify the analytical results. Furthermore, we numerically study the spatio-temporal dynamics of the model. The effects of the diffusivity of the immune response on the tumor growth are also discussed.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15772825     DOI: 10.1007/s00285-004-0310-6

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  40 in total

1.  The migration of cells in multicell tumor spheroids.

Authors:  G J Pettet; C P Please; M J Tindall; D L McElwain
Journal:  Bull Math Biol       Date:  2001-03       Impact factor: 1.758

2.  Mathematical modelling of drug transport in tumour multicell spheroids and monolayer cultures.

Authors:  John P Ward; John R King
Journal:  Math Biosci       Date:  2003-02       Impact factor: 2.144

3.  Microvascular permeability of normal and neoplastic tissues.

Authors:  L E Gerlowski; R K Jain
Journal:  Microvasc Res       Date:  1986-05       Impact factor: 3.514

4.  A phase I study of Onyx-015, an E1B attenuated adenovirus, administered intratumorally to patients with recurrent head and neck cancer.

Authors:  I Ganly; D Kirn; G Eckhardt; G I Rodriguez; D S Soutar; R Otto; A G Robertson; O Park; M L Gulley; C Heise; D D Von Hoff; S B Kaye; S G Eckhardt
Journal:  Clin Cancer Res       Date:  2000-03       Impact factor: 12.531

5.  Spatio-temporal pattern formation on spherical surfaces: numerical simulation and application to solid tumour growth.

Authors:  M A Chaplain; M Ganesh; I G Graham
Journal:  J Math Biol       Date:  2001-05       Impact factor: 2.259

6.  3H-thymidine labelling index (TLI) as a marker of tumour growth heterogeneity: evaluation in human solid carcinomas.

Authors:  A Becciolini; M Balzi; M Barbarisi; P Faraoni; A Biggeri; C S Potten
Journal:  Cell Prolif       Date:  1997 Mar-Apr       Impact factor: 6.831

7.  Adenovirus E1A oncogene expression in tumor cells enhances killing by TNF-related apoptosis-inducing ligand (TRAIL).

Authors:  J M Routes; S Ryan; A Clase; T Miura; A Kuhl; T A Potter; J L Cook
Journal:  J Immunol       Date:  2000-10-15       Impact factor: 5.422

8.  Growth of nonnecrotic tumors in the presence and absence of inhibitors.

Authors:  H M Byrne; M A Chaplain
Journal:  Math Biosci       Date:  1995-12       Impact factor: 2.144

9.  Systematic heterogeneity and prognostic significance of cell proliferation in colorectal cancer.

Authors:  R Palmqvist; A Oberg; C Bergström; J N Rutegård; B Zackrisson; R Stenling
Journal:  Br J Cancer       Date:  1998-03       Impact factor: 7.640

10.  Expression of epidermal growth factor, transforming growth factor-alpha and their receptor genes in human gastric carcinomas; implication for autocrine growth.

Authors:  K Yoshida; E Kyo; T Tsujino; T Sano; M Niimoto; E Tahara
Journal:  Jpn J Cancer Res       Date:  1990-01
View more
  6 in total

1.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

2.  Mathematical modeling of viral infection dynamics in spherical organs.

Authors:  Ricardo Dunia; Roger Bonnecaze
Journal:  J Math Biol       Date:  2012-09-25       Impact factor: 2.259

3.  Mathematical modeling of tumor therapy with oncolytic viruses: regimes with complete tumor elimination within the framework of deterministic models.

Authors:  Artem S Novozhilov; Faina S Berezovskaya; Eugene V Koonin; Georgy P Karev
Journal:  Biol Direct       Date:  2006-02-17       Impact factor: 4.540

4.  Mathematical modeling of herpes simplex virus distribution in solid tumors: implications for cancer gene therapy.

Authors:  Wilson Mok; Triantafyllos Stylianopoulos; Yves Boucher; Rakesh K Jain
Journal:  Clin Cancer Res       Date:  2009-03-24       Impact factor: 12.531

Review 5.  Theoretical modeling techniques and their impact on tumor immunology.

Authors:  Anna Lena Woelke; Manuela S Murgueitio; Robert Preissner
Journal:  Clin Dev Immunol       Date:  2010-12-23

6.  Mathematical modeling of tumor therapy with oncolytic viruses: effects of parametric heterogeneity on cell dynamics.

Authors:  Georgy P Karev; Artem S Novozhilov; Eugene V Koonin
Journal:  Biol Direct       Date:  2006-10-03       Impact factor: 4.540

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.