Treatment algorithm in patients with ovarian cancer

I Vergote, H Denys, J De Greve, C Gennigens, K Van De Vijver, J Kerger, P Vuylsteke, J F Baurain

Research output: Contribution to journalArticlepeer-review

Abstract

Most ovarian cancer patients are diagnosed only at advanced stages when survival outcomes are worse, andwhen therapeutic decisions might prove challenging. The fundamental treatment for women with ovarian cancerincludes debulking surgery whenever possible and appropriate systemic therapy (chemotherapy, targeted andantiangiogenic agents). In the last few years, knowledge about histological and molecular characteristics of ovariancancer subtypes and stages has increased considerably. This has enabled the development and improvement ofseveral options for the diagnosis and treatment of ovarian cancer in a patient-tailored approach. Accordingly,therapeutic decisions are guided by the characteristics of the patient and the tumour, especially the molecularfeatures of the cancer subtype and disease stage. Particularly relevant are the advances in early genetic testing ofgermline and somatic mutations involved in DNA repair, and the clinical development of targeted agents. In orderto implement the best individual medical strategies, in this article, we present an algorithm of treatment options,including recently developed targeted agents, for primary and recurrent ovarian cancer patients in Belgium.

Original languageEnglish
Pages (from-to)227-239
Number of pages13
JournalFacts, views & vision in ObGyn
Volume12
Issue number3
Publication statusPublished - 2020

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Copyright © 2020 Facts, Views & Vision.

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