AI Article Synopsis

  • Patients with high-grade endometrial carcinoma (EC) have a higher likelihood of tumor spread and lymph node metastasis (LNM), with preoperative imaging and CA125 levels aiding in their assessment.
  • A study involving 333 high-grade EC patients found that elevated CA125 levels significantly correlated with advanced disease stages and poorer survival outcomes.
  • Logistic regression analysis indicated that elevated CA125, non-endometrioid histology, deep myometrial invasion, and cervical involvement are strong predictors of LNM, while CT findings alone were less predictive.

Article Abstract

Patients with high-grade endometrial carcinoma (EC) have an increased risk of tumor spread and lymph node metastasis (LNM). Preoperative imaging and CA125 can be used in work-up. As data on cancer antigen 125 (CA125) in high-grade EC are limited, we aimed to study primarily the predictive value of CA125, and secondarily the contributive value of computed tomography (CT) for advanced stage and LNM. Patients with high-grade EC (n = 333) and available preoperative CA125 were included retrospectively. The association of CA125 and CT findings with LNM was analyzed by logistic regression. Elevated CA125 ((>35 U/mL), (35.2% (68/193)) was significantly associated with stage III-IV disease (60.3% (41/68)) compared with normal CA125 (20.8% (26/125), [ < 0.001]), and with reduced disease-specific-(DSS) ( < 0.001) and overall survival (OS) ( < 0.001). The overall accuracy of predicting LNM by CT resulted in an area under the curve (AUC) of 0.623 ( < 0.001) independent of CA125. Stratification by CA125 resulted in an AUC of 0.484 (normal), and 0.660 (elevated). In multivariate analysis elevated CA125, non-endometrioid histology, pathological deep myometrial invasion ≥50%, and cervical involvement were significant predictors of LNM, whereas suspected LNM on CT was not. This shows that elevated CA125 is a relevant independent predictor of advanced stage and outcome specifically in high-grade EC.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177432PMC
http://dx.doi.org/10.3390/cancers15092605DOI Listing

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