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EP146/#636  Nomogram based on human epididymis protein 4 predicted concurrent endometrial cancer for patients diagnosed with atypical endometrial hyperplasia before surgery
  1. Yaochen Lou1,
  2. Jun Guan2 and
  3. Xiaojun Chen2
  1. 1Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China, Department of Gynecology, Shanghai, China
  2. 2Obstetrics and Gynecology Hospital of Fudan University, Gynecology, Shanghai, China


Introduction This study aimed to investigate whether preoperative human epididymis protein 4 (HE4) could predict concurrent endometrial cancer (EC) for patients diagnosed with atypical endometrial hyperplasia before surgery and help to establish a nomogram for better clinical management.

Methods Preoperative-AEH patients who underwent hysterectomy in a tertiary hospital from Jan 2020 to Dec 2022 were retrospectively analyzed. Independent predictive factors determined by multivariate logistic regression model were used to establish nomogram and internal validation was performed by a bootstrap resampling method.

Results A total of 455 preoperative-AEH patients were included, 23.4% of whom had concurrent EC. HE4 level significantly increased in concurrent-EC patients compared with final-diagnosed AEH patients (median 50.5 vs 43.7 pmol/L, p<0.001). ROC curves also showed good predictive potential of HE4 for concurrent EC (AUC = 0.696, 95%CI=0.633–0.760, p<0.001) and concurrent intermediate-high-risk EC (AUC = 0.713, 95%CI=0.563–0.863, p=0.005). Multivariate analysis revealed the independent predictive factors for concurrent EC were HE4 level (OR = 3.84; 95% CI =2.07–7.13), postmenopausal status (OR = 5.25; 95% CI = 2.26–12.22) and BMI (OR = 2.09, 95% CI = 1.12–3.91). The three factors were used to create the nomogram that showed a better goodness-of-fit for predicting concurrent EC. The bootstrap-corrected of concordance index of nomogram was 0.726 (95% CI=0.665–0.784), which was higher than that of each factor alone.

Conclusion/Implications HE4 presented good predictive potential for concurrent EC in preoperative-AEH patients. The nomogram based on HE4, postmenopausal status and BMI might improve this predictive value to stratify high-risk patients for better clinical strategy.

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