PURPOSE: The aim of the study was to establish whether preoperative serum levels of @entity3422 and @entity10224 could be a good predictor for lymphadenectomy in the early stage of @entity4348 . MATERIAL AND METHODS: Preoperative serum @entity3422 and @entity10224 were measured in 78 postmenopausal @entity1 treated surgically. The ROC curves were generated to determine the optimal cutoff values of @entity3422 and @entity10224 levels with optimum sensitivity and specificity for the prediction of lymphadenectomy. RESULTS: Based on ROC curve, we found that the @entity3422 value of 78pmol/l is the best cutoff to identify candidates who may require lymphadenectomy with the sensitivity of 86.6% and the specificity of 67.2% (NPV=88.4% and @entity2286 =51.2%). The area under the curve (AUC) equals 0.814 (95% CI=0.721-0.886). The cutoff level of @entity10224 that shows the prognostic indices is 26U/ml, with the sensitivity of 66.6% and the specificity of 61.2% (NPV=69.4% and @entity2286 =44.3%). For @entity10224 the AUC amounts to 0.671 (95% CI=0.568-0.764). We also found a statistically significant difference, comparing @entity3422 and @entity10224 AUC (0.814 vs. 0.671, respectively, p<0.001). The combination of @entity3422 and @entity10224 established in our study as the cutoff point has the sensitivity of 81.2% and the specificity of 65.9% with NPV=83.4% and @entity2286 =47.9%. CONCLUSIONS: Our findings indicate that in the early stage of @entity1204 , @entity3422 can serve as a preoperative tool that can help to identify postmenopausal @entity1 who may require lymphadenectomy.

Utility of @entity3422 to identify XXXX with @entity1204 who may require lymphadenectomy.

@entity1 :: ('9606', 'Species') :: ['women', 'patients'] @entity1204 :: ('MESH:D016889', 'Disease') :: ['endometrioid endometrial cancer'] @entity2286 :: ('12211', 'Species') :: ['PPV'] @entity3422 :: ('10406', 'Gene') :: ['HE4'] @entity10224 :: ('94025', 'Gene') :: ['CA125'] @entity4348 :: ('MESH:D018269', 'Disease') :: ['endometrioid adenocarcinoma of the uterus']
@entity1 :: (9606,Species) :: ['patients']
