Literature DB >> 11497166

Modeling and analysis of a virus that replicates selectively in tumor cells.

J T Wu1, H M Byrne, D H Kirn, L M Wein.   

Abstract

Replication-competent viruses have shown considerable promise in overcoming the inefficient gene transduction experienced by traditional gene therapy approaches to cancer treatment. The viruses infect tumor cells and replicate inside them, eventually causing lysis. Virus particles released during lysis are then able to infect other tumor cells, and, in this way, continuous rounds of infection and lysis allow the virus to spread throughout the tumor. Motivated by this novel cancer treatment, we formulate and analyse a system of partial differential equations that is essentially a radially-symmetric epidemic model embedded in a Stefan problem. We compare three, alternative virus-injection strategies: a fixed fraction of cells pre-infected with the virus are introduced throughout the entire tumor volume, within the tumor core, or within the tumor rim. For all three injection methods, simple and accurate conditions that predict whether the virus will control the tumor are derived.

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Year:  2001        PMID: 11497166     DOI: 10.1006/bulm.2001.0245

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  18 in total

1.  The parvoviral capsid controls an intracellular phase of infection essential for efficient killing of stepwise-transformed human fibroblasts.

Authors:  Justin Paglino; Peter Tattersall
Journal:  Virology       Date:  2011-05-20       Impact factor: 3.616

2.  In Vivo Estimation of Oncolytic Virus Populations within Tumors.

Authors:  Mi-Yeon Jung; Chetan P Offord; Matthew K Ennis; Iris Kemler; Claudia Neuhauser; David Dingli
Journal:  Cancer Res       Date:  2018-08-16       Impact factor: 12.701

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Authors:  Youshan Tao; Qian Guo
Journal:  J Math Biol       Date:  2005-03-15       Impact factor: 2.259

5.  Dynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.

Authors:  D M Rommelfanger; C P Offord; J Dev; Z Bajzer; R G Vile; D Dingli
Journal:  Gene Ther       Date:  2011-09-15       Impact factor: 5.250

6.  Dynamics of multiple myeloma tumor therapy with a recombinant measles virus.

Authors:  D Dingli; C Offord; R Myers; K-W Peng; T W Carr; K Josic; S J Russell; Z Bajzer
Journal:  Cancer Gene Ther       Date:  2009-06-05       Impact factor: 5.987

7.  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

8.  Analysis of a model of a virus that replicates selectively in tumor cells.

Authors:  Avner Friedman; Youshan Tao
Journal:  J Math Biol       Date:  2003-06-12       Impact factor: 2.259

9.  Backward Hopf bifurcation in a mathematical model for oncolytic virotherapy with the infection delay and innate immune effects.

Authors:  Yuxiao Guo; Ben Niu; Jianjun Paul Tian
Journal:  J Biol Dyn       Date:  2019-09-18       Impact factor: 2.726

10.  Spatial Model for Oncolytic Virotherapy with Lytic Cycle Delay.

Authors:  Jiantao Zhao; Jianjun Paul Tian
Journal:  Bull Math Biol       Date:  2019-05-14       Impact factor: 3.871

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