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A Mathematical Model of Prostate Tumor Growth Under Hormone Therapy with Mutation Inhibitor

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Abstract

This paper extends Jackson’s model describing the growth of a prostate tumor with hormone therapy to a new one with hypothetical mutation inhibitors. The new model not only considers the mutation by which androgen-dependent (AD) tumor cells mutate into androgen-independent (AI) ones but also introduces inhibition which is assumed to change the mutation rate. The tumor consists of two types of cells (AD and AI) whose proliferation and apoptosis rates are functions of androgen concentration. The mathematical model represents a free-boundary problem for a nonlinear system of parabolic equations, which describe the evolution of the populations of the above two types of tumor cells. The tumor surface is a free boundary, whose velocity is equal to the cell’s velocity there. Global existence and uniqueness of solutions of this model is proved. Furthermore, explicit formulae of tumor volume at any time t are found in androgen-deprived environment under the assumption of radial symmetry, and therefore the dynamics of tumor growth under androgen-deprived therapy could be predicted by these formulae. Qualitative analysis and numerical simulation show that controlling the mutation may improve the effect of hormone therapy or delay a tumor relapse.

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Authors and Affiliations

  1. Department of Applied Mathematics, Dong Hua University, Shanghai, 200051, P.R. China

    Youshan Tao

  2. Department of Mathematics, Division of Computation Science, Shanghai Normal University, Shanghai, 200234, P.R. China

    Qian Guo

  3. Institute of Industrial Science, University of Tokyo, Tokyo, 153-8505, Japan

    Kazuyuki Aihara

Authors
  1. Youshan Tao
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  2. Qian Guo
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  3. Kazuyuki Aihara
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Correspondence to Youshan Tao.

Additional information

Communicated by P.K. Maini.

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Tao, Y., Guo, Q. & Aihara, K. A Mathematical Model of Prostate Tumor Growth Under Hormone Therapy with Mutation Inhibitor. J Nonlinear Sci 20, 219–240 (2010). https://doi.org/10.1007/s00332-009-9056-z

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  • DOI: https://doi.org/10.1007/s00332-009-9056-z

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