ArticleCancer management and research2025
Clinical Value of Vascular Cancer Thrombus and Myometrial Invasion Combined with Tumor Markers in Predicting Sentinel Lymph Node Metastasis of Endometrial Cancer.
Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Perioperative machine learning models with SHAP interpretation for predicting adverse outcomes in breast cancer surgery.Frontiers in surgery · 2026Article
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5 authors.
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Abstract
Purpose: To investigate the clinical value of vascular cancer thrombus and myometrial invasion combined with tumor markers (epididymal protein 4 (HE4), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153), carbohydrate antigen 199 (CA199)) in predicting sentinel lymph node (SLN) metastasis of Endometrial Cancer (EC). Methods: A retrospective study was conducted on 150 patients with EC during January 2022 to December 2024. Patients were divided into a metastatic group of 32 cases and a non-metastatic group of 118 cases. The clinical data and tumor markers [HE4, carcinoembryonic antigen (CEA), CA125, CA153, CA199 and alpha fetoprotein (AFP)] levels were collected. Logistic regression analysis was used to identify the influencing factors of metastasis. The predictive value was evaluated by Receiver operating characteristic curve (ROC). Principal component analysis (PCA) was performed to analyze the distribution characteristics. Results: The incidence of vascular cancer thrombus (62.50%), the proportion of myometrial invasion ≥1/2 (90.63%) and serum levels of HE4, CA125, CA153 and CA199 in the metastatic group were significantly higher than those in the non-metastatic group ( Conclusion: The combined detection of vascular cancer thrombus, myometrial invasion combined with HE4, CA153, CA125 and CA199 can effectively predict SLN metastasis of EC. But these influencing factors had great fluctuation and uncertainty in patients with SLN metastasis of EC, which may be related to the complexity and heterogeneity of the disease.
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