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Treatment algorithm in patients with ovarian cancer

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 (chemothera...

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Detalles Bibliográficos
Autores principales: Vergote, I, Denys, H, De Greve, J, Gennigens, C, Van De Vijver, K, Kerger, J, Vuylsteke, P, Baurain, JF
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universa Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580261/
https://www.ncbi.nlm.nih.gov/pubmed/33123697
Descripción
Sumario: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.