Computational modeling approaches to studying the dynamics of oncolytic viruses

  • Received: 01 July 2012 Accepted: 29 June 2018 Published: 01 April 2013
  • MSC : 92D25.

  • Oncolytic viruses specifically infect cancer cells, replicate in them, killthem, and spread to further tumor cells. They represent a targeted treatmentapproach that is promising in principle, but consistent success has yet tobe observed. Mathematical models can play an important role in analyzing thedynamics between oncolytic viruses and a growing tumor cell population,providing insights that can be useful for the further development of thistherapy approach. This article reviews different mathematical modelingapproaches ranging from ordinary differential equations to spatiallyexplicit agent-based models. Problems of model robustness are discussed andso are some clinically important insight derived from the models.

    Citation: Dominik Wodarz. Computational modeling approaches to studying the dynamics of oncolytic viruses[J]. Mathematical Biosciences and Engineering, 2013, 10(3): 939-957. doi: 10.3934/mbe.2013.10.939

    Related Papers:

  • Oncolytic viruses specifically infect cancer cells, replicate in them, killthem, and spread to further tumor cells. They represent a targeted treatmentapproach that is promising in principle, but consistent success has yet tobe observed. Mathematical models can play an important role in analyzing thedynamics between oncolytic viruses and a growing tumor cell population,providing insights that can be useful for the further development of thistherapy approach. This article reviews different mathematical modelingapproaches ranging from ordinary differential equations to spatiallyexplicit agent-based models. Problems of model robustness are discussed andso are some clinically important insight derived from the models.
    加载中
    [1] Curr. Cancer Drug Targets, 7 (2007), 127-131.
    [2] Cancer Cell, 4 (2003), 7-11.
    [3] Curr. Cancer Drug Targets, 7 (2007), 133-139.
    [4] J. Gene. Med., 7 (2005), 1380-1389.
    [5] Curr. Gene Ther., 5 (2005), 595-605.
    [6] Mol. Ther., 15 (2007), 651-659.
    [7] Mol. Med. Today, 2 (1996), 519-527.
    [8] Cancer Biol. Ther., 2 (2003), S157-60.
    [9] Oncogene, 24 (2005), 7817-7819.
    [10] Oncogene, 24 (2005), 7640-7655.
    [11] Nat. Rev. Cancer, 5 (2005), 965-976.
    [12] Future Oncol., 1 (2005), 247-258.
    [13] Curr. Opin. Mol. Ther., 8 (2006), 314-321.
    [14] Cancer Lett., (2007).
    [15] Viruses, 2 (2010), 78-106.
    [16] Rev. Med. Virol, 21 (2011), 227-239.
    [17] Science, 252 (1991), 854-856.
    [18] J. Natl. Cancer Inst., 98 (2006), 298-300.
    [19] Cancer Gene. Ther., 18 (2011), 305-317.
    [20] Cancer Res., 61 (2001), 3501-3507.
    [21] Hum. Gene. Ther., 14 (2003), 153-159.
    [22] J. Theor. Biol., 252 (2008), 109-122.
    [23] Bull. Math. Biol., 72 (2010), 469-489.
    [24] Math. Biosci., 199 (2006), 55-78.
    [25] Cancer Gene Ther., 16 (2009), 873-882.
    [26] Cancer Res., 66 (2006), 2314-2319.
    [27] Biol. Direct, 1 (2006), pp. 30.
    [28] J. Theor. Biol., 263 (2010), 530-543.
    [29] Biol. Direct, 1 (2006), pp. 6.
    [30] Cancer Res., 63 (2003), 1317-1324.
    [31] Gene Therapy and Molecular Biology, 8 (2004), 137-146.
    [32] J. R. Soc. Interface, 6 (2009), 179-186.
    [33] PLoS ONE, 4 (2009), e4271.
    [34] PLoS Comput. Biol., 7 (2011), e1001085.
    [35] J. Theor. Biol., 245 (2007), 1-8.
    [36] Clin. Cancer Res., 15 (2009), 2352-2360.
    [37] Cancer Res., 69 (2009), 1205-1211.
    [38] Integr. Biol. (Camb), 2 (2010), 41-45.
    [39] Cancer Res., 60 (2000), 1009-1013.
    [40] Neoplasia, 1 (1999), 162-169.
    [41] Proc. Natl. Acad. Sci. U S A, 108 (2011), 18983-18988.
    [42] PLoS Comput. Biol., 8 (2012), e1002547.
    [43] Journal of Mathematical Biology, 32 (1994), 251-268.
    [44] Proceedings of the Royal Society of London Series B-Biological Sciences, 246 (1991), 117-122.
    [45] Ecology, 82 (2001), 2357-2369.
    [46] 1991, Oxford, England: Oxford University Press.
    [47] 2000: Oxford University Press.
    [48] 2000, Oxford: Oxford University Press.

    © 2013 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
  • Reader Comments
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(36) PDF downloads(778) Cited by(8)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog