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

Br J Cancer. 2016 Nov 22;115(11):1296-1303. doi: 10.1038/bjc.2016.337. Epub 2016 Nov 8.


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.

Publication types

  • Multicenter Study

MeSH terms

  • Endometrial Neoplasms / pathology*
  • Female
  • Humans
  • Nomograms*
  • Prognosis
  • Recurrence
  • Retrospective Studies
  • Risk