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To develop a risk scoring system (RSS) to determine recurrence in women with early-stage type 1 endometrial cancer (EC). Data of 396 women with early-stage type 1 EC who received primary surgical treatment between January 2001 and December 2012 were abstracted from multicentre database (training set). A risk model for predicting recurrence was developed and internally validated with the bootstrap technique. The RSS was externally validated using data from an independent population. Overall, the recurrence rate was 12.1 %. The median follow-up and initial time to recurrence were 34 (range 1–152) and 26 (range 1–151) months, respectively. Recurrence was associated with five variables: age ≥60 years, histological grade III, primary tumor diameter >2 cm, depth of myometrial invasion ≥50 %, and the positive lymphovascular space involvement status. These variables were included in the RSS and assigned scores. A total score of 6.5 points corresponded to the optimal threshold of the RSS. For women with a score

International audience; Background - Little data exist about the clinical management and survival of elderly patients with endometrial cancer. This study aimed to evaluate the management of elderly and very elderly patients with endometrial cancer as well as the overall survival (OS) rate, disease-free survival (DFS) rate, and cancer-specific survival (CSS) rate in a multicenter cohort. Methods - Data from 1228 patients with endometrial cancer who received primary treatment between January 2001 and December 2012 were collected from a multicenter database. Clinical management, DFS, CSS, and OS were analyzed. Results - Based on the international endometrial cancer risk classification, 36% (212/582) of women age 65 years or younger, 42% (220/526) of women ages 65-80 years, and 48% (58/120) of women older than 80 years showed high-risk endometrial cancer (p

This study aimed to develop a predictive model using histopathologic characteristics of early-stage type 1 endometrial cancer (EC) to identify patients at high risk for lymph node (LN) metastases. The data of 523 patients who received primary surgical treatment between January 2001 and December 2012 were abstracted from a prospective multicenter database (training set). A multivariate logistic regression analysis of selected prognostic features was performed to develop a nomogram predicting LN metastases. To assess its accuracy, an internal validation technique with a bootstrap approach was adopted. The optimal threshold in terms of clinical utility, sensitivity, specificity, negative predictive values (NPVs), and positive predictive values (PPVs) was evaluated by the receiver-operating characteristics (ROC) curve area and the Youden Index. Overall, the LN metastasis rate was 12.4 % (65/523). Lymph node metastases were associated with histologic grade, tumor diameter, depth of myometrial invasion, and lymphovascular space involvement status. These variables were included in the nomogram. Discrimination of the model was 0.83 [95 % confidence interval (CI) 0.80–0.85] in the training set. The area under the curve ROC for predicting LN metastases after internal validation was 0.82 (95 % CI 0.80–0.84). The Youden Index provided a value of 0.2, corresponding to a cutoff of 140 points (total score in the algorithm). At this threshold, the model had a sensitivity of 0.73 (95 % CI 0.62–0.83), a specificity of 0.84 (95 % CI 0.82–0.85), a PPV of 0.40 (95 % CI 0.34–0.45), and an NPV of 0.95 (95 % CI 0.94–0.97). The results show that the risk of LN metastases can be predicted correctly so that patients at high risk can benefit from adapted surgical treatment.

Additional tools are needed to improve the selection of women with early-stage endometrial cancer (EC) at increased risk of nodal metastases and/or recurrence to adapt surgical staging and adjuvant therapies. The aim of this study was to assess the impact of EC tumor size on nodal status and recurrence-free survival (RFS) according to European risk groups for recurrence. Data of 633 women with early-stage EC who received primary surgical treatment between 2001 and 2012 were abstracted from a multicenter database. Optimal tumor size cut-offs were determined by a minimal p value approach according to final nodal status. Logistic regression was used to determine the impact of defined tumor size on nodal involvement, and the Kaplan–Meier method was used to estimate the survival distribution. The number of women with final low-, intermediate-, and high-risk EC was 302, 204, and 127, respectively. Tumor size was correlated with nodal status and RFS in women with low-risk EC, while no correlation was found for women with intermediate/high-risk EC. Tumor size ≥35 mm emerged as the optimal threshold for a higher rate of nodal involvement (odds ratio 4.318, 95 % CI 1.13–16.51, p = 0.03) and a lower RFS (p = 0.005) in women with low-risk EC. Tumor size is an independent prognostic factor of lymph node involvement in women with low-risk EC and could be a valuable additional histological criterion for selecting women at increased risk of lymph node metastases to better adapt surgical staging.

This study was designed to develop a risk scoring system (RSS) for predicting lymph node (LN) metastases in patients with early-stage endometrial cancer (EC).Data of 457 patients with early-stage EC who received primary surgical treatment between January 2001 and December 2012 were abstracted from a prospective, multicentre database (training set). A risk model based on factors impacting LN metastases was developed. To assess the discrimination of the RSS, both internal by the bootstrap approach and external validation (validation set) were adopted.Overall the LN metastasis rate was 11.8 % (54/457). LN metastases were associated with five variables: age ≥60 years, histological grade 3 and/or type 2, primary tumor diameter ≥1.5 cm, depth of myometrial invasion ≥50 %, and the positive lymphovascular space involvement status. These variables were included in the RSS and assigned scores ranging from 0 to 9. The discrimination of the RSS was 0.81 [95 % confidence interval (CI) 0.78-0.84] in the training set. The area under the curve of the receiver-operating characteristics for predicting LN metastases after internal and external validation was 0.80 (95 % CI 0.77-0.83) and 0.85 (95 % CI 0.81-0.89), respectively. A total score of 6 points corresponded to the optimal threshold of the RSS with a rate of LN metastases of 7.5 % (29/385) and 34.7 % (25/72) for low-risk (≤6 points) and high-risk patients (6 points), respectively. At this threshold, the diagnostic accuracy was 83 %.This RSS could be useful in clinical practice to determine which patients with early-stage EC should benefit from secondary surgical staging including complete lymphadenectomy.