Literature DB >> 12445762

Cancer treatment by telomerase inhibitors: predictions by a kinetic model.

Igor A Sidorov1, Ken S Hirsch, Calvin B Harley, Dimiter S Dimitrov.   

Abstract

The inhibition of telomerase activity in actively dividing cells leads to shortening of their telomeres and suppression of cell growth when the telomere lengths become smaller than a certain threshold value (typically about 1-2 kb of DNA). We evaluated the time (efficacy delay) required to reach the threshold telomeric DNA size after initiation of treatment, which is of critical importance for the efficacy of telomerase inhibitors. A model based on the solution of a system of differential equations was developed to analyze the efficacy delay and dynamics of tumor growth. The efficacy delay was strongly dependent on the size distribution of telomere lengths at the treatment initiation. An increase in the heterogeneity of telomere size resulted in shortening of the delay. However, the long-term dynamics of tumors with homogeneous populations of telomeres were more significantly affected by telomerase inhibitors compared to tumors with heterogeneous size distribution of telomeres. Size distribution of telomeres and tumor doubling times are of critical importance for the dynamics of tumor growth in presence of telomerase inhibitors.

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Year:  2003        PMID: 12445762     DOI: 10.1016/s0025-5564(02)00132-3

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  3 in total

1.  Modelling the regulation of telomere length: the effects of telomerase and G-quadruplex stabilising drugs.

Authors:  Bartholomäus V Hirt; Jonathan A D Wattis; Simon P Preston
Journal:  J Math Biol       Date:  2013-04-26       Impact factor: 2.259

2.  Transcriptomic response to differentiation induction.

Authors:  G W Patton; R Stephens; I A Sidorov; X Xiao; R A Lempicki; D S Dimitrov; R H Shoemaker; G Tudor
Journal:  BMC Bioinformatics       Date:  2006-02-17       Impact factor: 3.169

3.  Telomerase-independent paths to immortality in predictable cancer subtypes.

Authors:  Stephen T Durant
Journal:  J Cancer       Date:  2012-01-31       Impact factor: 4.207

  3 in total

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