Dynamics of multiple myeloma tumor therapy with a recombinant measles virus

被引:51
作者
Dingli, D. [1 ,2 ]
Offord, C. [3 ]
Myers, R. [1 ]
Peng, K-W [1 ]
Carr, T. W. [4 ]
Josic, K. [5 ]
Russell, S. J. [1 ,2 ]
Bajzer, Z. [3 ]
机构
[1] Mayo Clin, Dept Mol Med, Rochester, MN 55905 USA
[2] Mayo Clin, Div Hematol, Rochester, MN 55905 USA
[3] Mayo Clin, Dept Biochem & Mol Biol, Rochester, MN 55905 USA
[4] So Methodist Univ, Dept Math, Dallas, TX 75275 USA
[5] Univ Houston, Dept Math, Houston, TX 77204 USA
关键词
mathematical modeling; population dynamics; viruses; tumor therapy; MATHEMATICAL-MODEL; VACCINE STRAIN; BREAST-CANCER; VIROTHERAPY; CELLS; GROWTH; AGENTS; RADIOVIROTHERAPY; XENOGRAFTS; EXPRESSION;
D O I
10.1038/cgt.2009.40
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Replication-competent viruses are being tested as tumor therapy agents. The fundamental premise of this therapy is the selective infection of the tumor cell population with the amplification of the virus. Spread of the virus in the tumor ultimately should lead to eradication of the cancer. Tumor virotherapy is unlike any other form of cancer therapy as the outcome depends on the dynamics that emerge from the interaction between the virus and tumor cell populations both of which change in time. We explore these interactions using a model that captures the salient biological features of this system in combination with in vivo data. Our results show that various therapeutic outcomes are possible ranging from tumor eradication to oscillatory behavior. Data from in vivo studies support these conclusions and validate our modeling approach. Such realistic models can be used to understand experimental observations, explore alternative therapeutic scenarios and develop techniques to optimize therapy. Cancer Gene Therapy (2009) 16, 873-882; doi: 10.1038/cgt.2009.40; published online 5 June 2009
引用
收藏
页码:873 / 882
页数:10
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