Article (Scientific journals)
Treatment algorithm in patients with ovarian cancer.
Vergote, I.; Denys, H.; De Greve, J. et al.
2020In Facts, views & vision in ObGyn, 12 (3), p. 227-239
Peer reviewed
 

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Keywords :
Epithelial ovarian cancer; genetic testing; targeted agents; treatment algorithm; oncology
Abstract :
[en] 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.
Disciplines :
Oncology
Author, co-author :
Vergote, I.
Denys, H.
De Greve, J.
Gennigens, Christine  ;  Université de Liège - ULiège > Département des sciences cliniques > Département des sciences cliniques
Van De Vijver, K.
Kerger, J.
Vuylsteke, P.
Baurain, J. F.
Language :
English
Title :
Treatment algorithm in patients with ovarian cancer.
Publication date :
2020
Journal title :
Facts, views & vision in ObGyn
ISSN :
2032-0418
eISSN :
2684-4230
Volume :
12
Issue :
3
Pages :
227-239
Peer reviewed :
Peer reviewed
Commentary :
Copyright © 2020 Facts, Views & Vision.
Available on ORBi :
since 13 November 2020

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