Bulletin of Mathematical Biology

, Volume 65, Issue 5, pp 903–931 | Cite as

Regression and regrowth of tumour cords following single-dose anticancer treatment

  • Alessandro Bertuzzi
  • Alberto D’Onofrio
  • Antonio Fasano
  • Alberto Gandolfi


In this paper, the evolution of a tumour cord after treatment is investigated by extensive numerical simulations on the basis of a mathematical model developed by Bertuzzi et al. (submitted). The model is formulated in cylindrical symmetry adopting the continuum approach, and takes into account the influence of oxygen level on the proliferation and death rate of cells, the volume reduction due to disgregation of dead cells, and the cell killing effects of radiation and drugs. Some extensions of the model are proposed to represent more accurately the radioresistance of hypoxic cells and the cytotoxic action of anticancer drugs. The steady state of the cord, and the cord evolution from the steady state after the delivery of a single dose of an anticancer agent, are computed for various combinations of model parameters and for different choices of the functions describing the effects of treatments. The results of the numerical computations show that, in spite of its many simplifications, the model behaviour appears to be reasonable in view of the available experimental observations. The model allows having a better insight into some complex treatment-related events, such as cell reoxygenation and repopulation.


Dead Cell Quiescent Cell Hypoxic Cell Necrotic Region Cell Death Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Society for Mathematical Biology 2003

Authors and Affiliations

  • Alessandro Bertuzzi
    • 1
  • Alberto D’Onofrio
    • 2
  • Antonio Fasano
    • 3
  • Alberto Gandolfi
    • 1
  1. 1.Istituto di Analisi dei Sistemi ed Informatica del CNR “A. Ruberti”RomaItaly
  2. 2.Division of Epidemiology and BiostatisticsEuropean Institute of OncologyMilanoItaly
  3. 3.Dipartimento di Matematica “U. Dini”Università di FirenzeFirenzeItaly

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