Title: Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma
Authors: Vergote, Ignace ×
De Brabanter, Joseph
Fyles, A
Bertelsen, K
Einhorn, N
Sevelda, P
Gore, M E
Kaern, J
Verrelst, Herman
Sjövall, K
Timmerman, Dirk
Vandewalle, Joos
Van Gramberen, M
Tropé, C G #
Issue Date: Jan-2001
Series Title: Lancet vol:357 issue:9251 pages:176-182
Abstract: BACKGROUND: Previous studies on prognostic factors in stage I invasive epithelial ovarian carcinoma have been too small for robust conclusions to be reached. We undertook a retrospective study in a large international database to identify the most important prognostic variables. METHODS: 1545 patients with invasive epithelial ovarian cancer (International Federation of Gynaecology and Obstetrics [FIGO] stage I) were included. The records of these patients were examined and data extracted for univariate and multivariate analysis of disease-free survival in relation to various clinical and pathological variables. FINDINGS: The multivariate analyses identified degree of differentiation as the most powerful prognostic indicator of disease-free survival (moderately vs well differentiated hazard ratio 3.13 [95% CI 1.68-5.85], poorly vs well differentiated 8.89 [4.96-15.9]), followed by rupture before surgery (2.65 [1.53-4.56]), rupture during surgery (1.64 [1.07-2.51]), FIGO 1973 stage Ib vs Ia 1.70 [1.01-2.85]) and age (per year 1.02 [1.00-1.03]). When the effects of these factors were accounted for, none of the following were of prognostic value: histological type, dense adhesions, extracapsular growth, ascites, FIGO stage 1988, and size of tumour. INTERPRETATION: Degree of differentiation, the most powerful prognostic indicator in stage I ovarian cancer, should be used in decisions on therapy in clinical practice and in the FIGO classification of stage I ovarian cancer. Rupture should be avoided during primary surgery of malignant ovarian tumours confined to the ovaries.
ISSN: 0140-6736
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Gynaecological Oncology
Basic Research in Gynaecology Section (-)
Electrical Engineering - miscellaneous
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campuses Ghent and Aalst
× corresponding author
# (joint) last author

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