Publication
Title
Treatment algorithm in patients with ovarian cancer
Author
Abstract
Most ovarian cancer patients are diagnosed only at advanced stages when survival outcomes are worse, and when therapeutic decisions might prove challenging. The fundamental treatment for women with ovarian cancer includes debulking surgery whenever possible and appropriate systemic therapy (chemotherapy, targeted and antiangiogenic agents). In the last few years, knowledge about histological and molecular characteristics of ovarian cancer subtypes and stages has increased considerably. This has enabled the development and improvement of several 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 molecular features of the cancer subtype and disease stage. Particularly relevant are the advances in early genetic testing of germline and somatic mutations involved in DNA repair, and the clinical development of targeted agents. In order to 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.
Language
English
Source (journal)
Facts, views & vision in obgyn : issues in obstetrics, gynaecology and reproductive health. - Place of publication unknown
Publication
Place of publication unknown : Flemish Society of Obstetrics, Gynaecology & Reproductive Health , 2020
ISSN
2032-0418
Volume/pages
12 :3 (2020) , p. 227-239
ISI
000580908100009
Pubmed ID
33123697
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 01.12.2020
Last edited 22.08.2024
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