Scheduling the adjuvant endocrine therapy for early stage breast cancer

Sera Kahruman (), Elif Ulusal (), Sergiy Butenko (), Illya Hicks () and Kathleen Diehl ()

Annals of Operations Research, 2012, vol. 196, issue 1, 683-705

Abstract: Based on the data available through published trial results, we build a mixed integer nonlinear programming (MINLP) model in order to find an optimal treatment plan for a given HR+ early stage breast cancer patient who is postmenopausal. The objective is to maximize the disease-free survival percentage at the end of the treatment period subject to the constraints on the risk of contralateral breast cancer and the risks of several side effects, including endometrial cancer, thromboembolic events, cardiovascular diseases, bone fractures, hot flushes, and vaginal bleeding. The results of numerical experiments suggest the effectiveness of some of the schedules currently used in practice, as well as suggest some attractive alternative treatment plans. Copyright Springer Science+Business Media, LLC 2012

Keywords: Breast cancer; Adjuvant endocrine therapy; Scheduling; Mathematical programming (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10479-010-0741-y

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