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Model reflects PSA dynamics, may help individualize therapy

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Aihara Complexity Modelling Project, ERATO, JST, Japan.

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.

We propose a mathematical model that quantitatively reproduces the dynamics of the serum prostate-specific antigen (PSA) level under intermittent androgen suppression (IAS) for prostate cancer. Taking into account the biological knowledge that there are reversible and irreversible changes in a malignant cell, we constructed a piecewise-linear dynamical model where the testosterone dynamics are modelled with rapid shifts between two levels, namely the normal and castrate concentrations of the male hormone. The validity of the model was supported by patient data obtained from a clinical trial of IAS. It accurately reproduced the kinetics of the therapeutic reduction of PSA and predicted the future nadir level correctly. The coexistence of reversible and irreversible changes within the malignant cell provided the best explanation of early progression to androgen independence. Finally, since the model identified patients for whom IAS was effective, it potentially offers a novel approach to individualized therapy requiring the input of time sequence values of PSA only.

Written by:

Hirata Y, Bruchovsky N, Aihara K.


J Theor Biol. 2010 Feb 20. Epub ahead of print.


PubMed Abstract

PMID:20176032 Forum: Other prostate cancer topics including radiation Title: Model reflects PSA dynamics, may help individualize therapy

This extract can be found on http://PubMed.com, and is in the public domain.

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