ArticleCancer management and research2021
Analysis of Factors Related to Lymph Node Metastasis in Early-Stage Type 1 Endometrial Cancer: Verifying the Clinical Value of Positive Threshold of the Immunohistochemical Parameter Ki67.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- A nomogram based on immunohistochemistry and lymphocyte-to-monocyte ratio for predicting risk stratification in endometrial carcinoma.Oncology letters · 2026Article
- A Metabolic-Epigenetic Axis of AARS1/IGF2BP3-K280 Lactylation Sustains Endometrial Cancer Stemness and Recurrence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Differential expression of estrogen and progesterone receptors before and after surgery in endometrial cancer and analysis of recurrence prediction model.World journal of surgical oncology · 2026Article
- Prognostic significance and immune infiltration analysis of HMGA2 in endometrial cancer.Frontiers in immunology · 2025Article
- The prognostic value of co-expression of stemness markers CD44 and CD133 in endometrial cancer.Frontiers in oncology · 2024Article
- Consistency of P53 immunohistochemical expression between preoperative biopsy and final surgical specimens of endometrial cancer.Frontiers in oncology · 2023Article
- A Nomogram Model for Predicting Recurrence of Stage I-III Endometrial Cancer Based on Inflammation-Immunity-Nutrition Score (IINS) and Traditional Classical Predictors.Journal of inflammation research · 2022Article
- Expression Profile and Molecular Basis of Cyclin-Dependent Kinases Regulatory Subunit 2 in Endometrial Carcinoma Detected by Diversified Methods.Pathology oncology research : POR · 2022Article
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2 authors at 1 institution in 1 country.
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Abstract
objectiveLymph node metastasis (LNM) is an important reference indicator for the prognosis of endometrial cancer (EC). Even in patients with early low-risk EC, many people still have LNM. The purpose of this study was to investigate the related factors influencing LNM in early-stage EC and determine the optimal positive threshold of immunohistochemical parameter Ki67 for predicting LNM, providing auxiliary reference indicators for clinical diagnosis and treatment.
methodsThe clinicopathological data of 651 patients with "apparent" early-stage EC who underwent standard surgical treatment were included. Univariate and multivariate logistics regression were used to analyze the correlation between each clinicopathological factor and LNM. Receiver operating characteristic curve (ROC curve) and Youden index were used to determine the optimal positive threshold of Ki67 for predicting LNM. Finally, correlation between Ki67 and various clinicopathological factors was analyzed, and the predictive value of each prognostic factor was compared.
resultsMultivariate analysis found that histologic grade (P=0.023), lymphatic vessel space invasion (LVSI) (P < 0.001), serological index Ca125 (P=0.002), immunohistochemical parameter Ki67 (P < 0.001), ER (P < 0.001) and P53 (P=0.001) were independent prognostic factors of LNM. ROC curve and Youden index showed that the optimal positive thresholds of Ki67 to predict LNM were 40%. Based on this, ROC curve showed that the area under the curve (AUC) of Ki67 (AUC=0.714) was larger than other single predictors, and Ki67 combined with other predictors can significantly increase the AUC value (AUC= 0.847 and 0.868, respectively).
conclusionKi67 was an important predictor for predicting the LNM in early-stage EC and taking a positive percentage of about 40% can be used as the positive threshold of the immunohistochemical parameter Ki67. On this basis, Ki67 combined with other predictive indicators can significantly improve prediction performance and can be used for segmentally predicting LNM of early-stage EC.
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