Skip to Main content Skip to Navigation
Journal articles

Predicting poor prognosis recurrence in women with endometrial cancer: A nomogram developed by the FRANCOGYN study group

Abstract : Background - The purpose of this study was to develop a nomogram to predict 'poor prognosis recurrence' (PPR) in women treated for endometrial cancer (EC). Methods - The data of 861 women who received primary surgical treatment between January 2001 and December 2013 were abstracted from a prospective multicenter database. Data were randomly split into two sets: training and validation with a predefined 2/3 ratio. A Cox proportional hazards multivariate model of selected prognostic features was performed in the training cohort (n=574) to develop a nomogram predicting PPRs. The nomogram was validated in the validation cohort of 287 patients. Results - In the training cohort, 82 (14.3%) developed subsequent PPR. Age, histologic type and grade, lymphovascular space invasion status, FIGO stage, and nodal staging (SLN±pelvic and/or para-aortic lymphadenectomy) were independently associated with subsequent PPR. The nomogram showed an area under the receiver operating characteristic curve (AUC) of 0.82 (95% confidence interval (CI), 0.73-0.89) in the training set. The validation set showed a good discrimination with an AUC of 0.75 (95% CI, 0.65-0.83). Conclusions - We have developed a robust tool that is able to predict subsequent PPRs in women with FIGO I-III EC.
Document type :
Journal articles
Complete list of metadatas

https://hal-univ-rennes1.archives-ouvertes.fr/hal-01417859
Contributor : Laurent Jonchère <>
Submitted on : Friday, December 16, 2016 - 10:08:00 AM
Last modification on : Tuesday, October 20, 2020 - 10:48:36 AM

Links full text

Identifiers

Citation

L. Ouldamer, S. Bendifallah, G. Body, C. Touboul, O. Graesslin, et al.. Predicting poor prognosis recurrence in women with endometrial cancer: A nomogram developed by the FRANCOGYN study group. British Journal of Cancer, Cancer Research UK, 2016, 115 (11), pp.1296--1303. ⟨10.1038/bjc.2016.337⟩. ⟨hal-01417859⟩

Share

Metrics

Record views

207