Literature DB >> 27453916

Capturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth.

Sebastien Benzekry1, Afshin Beheshti2, Philip Hahnfeldt3, Lynn Hlatky3.   

Abstract

In 1999, Hahnfeldt et al. proposed a mathematical model for tumor growth as dictated by reciprocal communications between tumor and its associated vasculature, introducing the idea that a tumor is supported by a dynamic, rather than a static, carrying capacity. In this original paper, the carrying capacity was equated with the variable tumor vascular support resulting from the net effect of tumor-derived angiogenesis stimulators and inhibitors. This dynamic carrying capacity model was further abstracted and developed in our recent publication to depict the more general situation where there is an interaction between the tumor and its supportive host tissue; in that case, as a function of host aging (Benzekry et al., 2014). This allowed us to predict a range of host changes that may be occurring with age that impact tumor dynamics. More generally, the basic formalism described here can be (and has been), extended to the therapeutic context using additional optimization criteria (Hahnfeldt et al., 1999). The model depends on three parameters: One for the tumor cell proliferation kinetics, one for the stimulation of the stromal support, and one for its inhibition, as well as two initial conditions. We describe here the numerical method to estimate these parameters from longitudinal tumor volume measurements.

Entities:  

Year:  2015        PMID: 27453916      PMCID: PMC4957653          DOI: 10.21769/bioprotoc.1644

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  4 in total

1.  Tumor development under angiogenic signaling: a dynamical theory of tumor growth, treatment response, and postvascular dormancy.

Authors:  P Hahnfeldt; D Panigrahy; J Folkman; L Hlatky
Journal:  Cancer Res       Date:  1999-10-01       Impact factor: 12.701

2.  Host age is a systemic regulator of gene expression impacting cancer progression.

Authors:  Afshin Beheshti; Sébastien Benzekry; J Tyson McDonald; Lili Ma; Michael Peluso; Philip Hahnfeldt; Lynn Hlatky
Journal:  Cancer Res       Date:  2015-03-02       Impact factor: 12.701

3.  Optimal and suboptimal protocols for a class of mathematical models of tumor anti-angiogenesis.

Authors:  Urszula Ledzewicz; Heinz Schättler
Journal:  J Theor Biol       Date:  2008-02-16       Impact factor: 2.691

4.  Classical mathematical models for description and prediction of experimental tumor growth.

Authors:  Sébastien Benzekry; Clare Lamont; Afshin Beheshti; Amanda Tracz; John M L Ebos; Lynn Hlatky; Philip Hahnfeldt
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

  4 in total
  1 in total

1.  Integrated computational and in vivo models reveal Key Insights into macrophage behavior during bone healing.

Authors:  Etienne Baratchart; Chen Hao Lo; Conor C Lynch; David Basanta
Journal:  PLoS Comput Biol       Date:  2022-05-13       Impact factor: 4.779

  1 in total

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