A mathematical model of combination therapy using the EGFR signaling network

R. P. Araujo*, E. F. Petricoin, L. A. Liotta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

An increasing awareness of the significance of abnormal signal transduction in tumors and the concomitant development of target-based drugs to selectively modulate aberrantly-activated signaling pathways has given rise to a variety of promising new strategies in cancer treatment. This paper uses mathematical modeling to investigate a novel type of combination therapy in which multiple nodes in a signaling cascade are targeted simultaneously with selective inhibitors, pursuing the hypothesis that such an approach may induce the desired signal attenuation with lower doses of the necessary agents than when one node is targeted in isolation. A mathematical model is presented which builds upon previous theoretical work on EGFR signaling, simulating the effect of administering multiple kinase inhibitors in various combinations. The model demonstrates that attenuation of biochemical signals is significantly enhanced when multiple upstream processes are inhibited, in comparison with the inhibition of a single upstream process. Moreover, this enhanced attenuation is most pronounced in signals downstream of serially-connected target points. In addition, the inhibition of serially-connected processes appears to have a supra-additive (synergistic) effect on the attenuation of downstream signals, owing to the highly non-linear relationships between network parameters and signals.

Original languageEnglish
Pages (from-to)57-69
Number of pages13
JournalBioSystems
Volume80
Issue number1
DOIs
StatePublished - Apr 2005
Externally publishedYes

Keywords

  • Cancer treatment
  • Combination therapy
  • EGFR network
  • Kinase inhibitors
  • Signal transduction

Fingerprint

Dive into the research topics of 'A mathematical model of combination therapy using the EGFR signaling network'. Together they form a unique fingerprint.

Cite this