Mathematical analysis and simulations involving chemotherapy and surgery on large human tumours under a suitable cell-kill functional response
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Abstract
Dosage and frequency of treatment schedules are important for successful chemotherapy. However, in this work we argue that cell-kill response and tumoral growth should not be seen as separate and therefore are essential in a mathematical cancer model. This paper presents a mathematical model for sequencing of cancer chemotherapy and surgery. Our purpose is to investigate treatments for large human tumours considering a suitable cell-kill dynamics. We use some biological and pharmacological data in a numerical approach, where drug administration occurs in cycles (periodic infusion) and surgery is performed instantaneously. Moreover, we also present an analysis of stability for a chemotherapeutic model with continuous drug administration. According to Norton & Simon [22], our results indicate that chemotherapy is less eficient in treating tumours that have reached a plateau level of growing and that a combination with surgical treatment can provide better outcomes.
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Chemotherapy , Mathematical modelling , Norton-Simon hypothesis , Tumour , antineoplastic agent , algorithm , biological model , conference paper , drug therapy , human , kinetics , methodology , neoplasm , oncology , pathology , statistical model , Algorithms , Antineoplastic Agents , Drug Therapy , Humans , Kinetics , Medical Oncology , Models, Biological , Models, Statistical , Neoplasms
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English
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Mathematical Biosciences and Engineering, v. 10, n. 1, p. 221-234, 2013.






