Modeling the impact of anticancer agents on metastatic spreading - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Mathematical Model Natural Phenomenon Year : 2012

Modeling the impact of anticancer agents on metastatic spreading


Treating cancer patients with metastatic disease remains an ultimate challenge in clinical oncology. Because invasive cancer precludes or limits the use of surgery, metastatic setting is often associated with (poor) survival, rather than sustained remission, in patients with common cancers like lung, digestive or breast carcinomas. Mathematical modeling may help us better identify non detectable metastatic status to in turn optimize treatment for patients with metastatic disease. In this paper we present a family of models for the metastatic growth. They are based on four principles : to be as simple as possible, involving the least possible number of parameters, the main informations are obtained from the primary tumor and being able to recover the variety of phenomena observed by the clinicians. Several simulations of therapeutic strategies are presented illustrating possible applications of modeling to the clinic.
Fichier principal
Vignette du fichier
articleMedical_hal.pdf (611.25 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00657724 , version 1 (09-01-2012)



Sébastien Benzekry, Nicolas André, Assia Benabdallah, Joseph Ciccolini, Christian Faivre, et al.. Modeling the impact of anticancer agents on metastatic spreading. Mathematical Model Natural Phenomenon, 2012, 7 (1), pp 306--336. ⟨10.1051/mmnp/20127114⟩. ⟨hal-00657724⟩
294 View
246 Download



Gmail Facebook X LinkedIn More