Mathematical modeling of ovarian cancer treatments: sequencing of surgery and chemotherapy.
Ovarian cancer has long been one of the most common forms of cancer in women. The main treatment for ovarian cancer comprises a combination of surgery and chemotherapy. In an effort to improve treatment strategies, a variety of mathematical models have been developed in the literature. In this paper, we consider a simple mathematical model that incorporates tumor growth as well as the effects of chemotherapeutic and surgical treatments in ovarian cancer. We consider several growth models and combine them with different cell-kill hypotheses. Surgery is assumed to eliminate a fixed fraction of tumor cells instantaneously. We discuss how different models predict the optimal sequencing of chemotherapeutic and surgical treatments. This work has been carried out in the context of ovarian cancer; however, the results may also be useful for other kind of cancers.
Department of Applied Mathematics, University of Waterloo, Waterloo, Ont., Canada. kohandel@uwaterloo.ca
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Kohandel
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Sivaloganathan
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Oza
D000970:Antineoplastic Agents / Q000627:therapeutic use; D016923:Cell Death; D003131:Combined Modality Therapy; D005260:Female; D006801:Humans; D016015:Logistic Models; D008954:Models, Biological; D010051:Ovarian Neoplasms / Q000473:pathology* / Q000628:therapy*; D016896:Treatment Outcome
D000970:Antineoplastic Agents