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Preoperative Haematologic Markers for the Differentiation of Endometrial Cancer from Benign Endometrial Lesions in Postmenopausal Patients with Endometrial Masses
Cancer Management and Research ( IF 3.3 ) Pub Date : 2023-10-06 , DOI: 10.2147/cmar.s430013 Yong Jung Song 1, 2 , Hwi Gon Kim 1, 2 , Hyung Joon Yoon 1 , Kyung Un Choi 3 , Dong Soo Suh 1 , Ki Hyung Kim 1
Cancer Management and Research ( IF 3.3 ) Pub Date : 2023-10-06 , DOI: 10.2147/cmar.s430013 Yong Jung Song 1, 2 , Hwi Gon Kim 1, 2 , Hyung Joon Yoon 1 , Kyung Un Choi 3 , Dong Soo Suh 1 , Ki Hyung Kim 1
Affiliation
Purpose: The diagnostic value of preoperative hematological changes in endometrial cancer (EC) remains unclear. This study aimed to assess the role of preoperative hematologic parameters in differentiating EC from benign endometrial lesions in postmenopausal women with endometrial masses.
Methods: Preoperative laboratory variables were retrospectively reviewed in patients with malignant or benign endometrial lesions, and the significance of intergroup differences was assessed. Receiver operating characteristic curves were used to analyze the optimal cut-off values for each variable. Logistic regression analysis was used to identify the variables predicting the presence of endometrial malignancy.
Results: Preoperative laboratory variables of 176 patients (84 EC and 92 benign lesions) with endometrial masses were analyzed. Significant differences were observed between malignant and benign lesions in terms of WBC count, ANC, MCV, MPV, PDW, CA125, NLR, PMR, LMR, and SII (P < 0.05). Multivariate analyses showed that a high WBC count, high ANC, low MCV, low MPV, low PDW, high CA125, high NLR, high PMR, high LMR, and high SII independently predicted the presence of endometrial malignancy.
Conclusion: The combination markers, MPV+PDW+NLR, had good discriminatory power for the presence of malignancy (AUC 0.797). Our results suggest that hematologic markers could be useful for the differentiation of malignant and benign endometrial lesions.
Keywords: endometrial cancer, differentiation, hematologic parameters, combination markers
中文翻译：
绝经后子宫内膜肿块患者术前用于区分子宫内膜癌与良性子宫内膜病变的血液学标志物
目的：子宫内膜癌（EC）术前血液学变化的诊断价值仍不清楚。本研究旨在评估术前血液学参数在子宫内膜肿块绝经后妇女区分 EC 和良性子宫内膜病变中的作用。
方法：回顾性分析恶性或良性子宫内膜病变患者的术前实验室变量，并评估组间差异的显着性。使用受试者工作特征曲线来分析每个变量的最佳截止值。使用逻辑回归分析来确定预测子宫内膜恶性肿瘤存在的变量。
结果：对 176 例子宫内膜肿块患者（84 例 EC 和 92 例良性病变）的术前实验室变量进行了分析。恶性与良性病变的WBC计数、ANC、MCV、MPV、PDW、CA125、NLR、PMR、LMR、SII比较，差异有统计学意义（P < 0.05）。多变量分析显示，高WBC计数、高ANC、低MCV、低MPV、低PDW、高CA125、高NLR、高PMR、高LMR和高SII独立预测子宫内膜恶性肿瘤的存在。
结论： MPV+PDW+NLR组合标志物对恶性肿瘤的存在具有良好的判别能力（AUC 0.797）。我们的结果表明血液学标志物可用于区分恶性和良性子宫内膜病变。
关键词:子宫内膜癌, 分化, 血液学参数, 组合标志物
更新日期：2023-10-06
Methods: Preoperative laboratory variables were retrospectively reviewed in patients with malignant or benign endometrial lesions, and the significance of intergroup differences was assessed. Receiver operating characteristic curves were used to analyze the optimal cut-off values for each variable. Logistic regression analysis was used to identify the variables predicting the presence of endometrial malignancy.
Results: Preoperative laboratory variables of 176 patients (84 EC and 92 benign lesions) with endometrial masses were analyzed. Significant differences were observed between malignant and benign lesions in terms of WBC count, ANC, MCV, MPV, PDW, CA125, NLR, PMR, LMR, and SII (P < 0.05). Multivariate analyses showed that a high WBC count, high ANC, low MCV, low MPV, low PDW, high CA125, high NLR, high PMR, high LMR, and high SII independently predicted the presence of endometrial malignancy.
Conclusion: The combination markers, MPV+PDW+NLR, had good discriminatory power for the presence of malignancy (AUC 0.797). Our results suggest that hematologic markers could be useful for the differentiation of malignant and benign endometrial lesions.
Keywords: endometrial cancer, differentiation, hematologic parameters, combination markers
中文翻译：
绝经后子宫内膜肿块患者术前用于区分子宫内膜癌与良性子宫内膜病变的血液学标志物
目的：子宫内膜癌（EC）术前血液学变化的诊断价值仍不清楚。本研究旨在评估术前血液学参数在子宫内膜肿块绝经后妇女区分 EC 和良性子宫内膜病变中的作用。
方法：回顾性分析恶性或良性子宫内膜病变患者的术前实验室变量，并评估组间差异的显着性。使用受试者工作特征曲线来分析每个变量的最佳截止值。使用逻辑回归分析来确定预测子宫内膜恶性肿瘤存在的变量。
结果：对 176 例子宫内膜肿块患者（84 例 EC 和 92 例良性病变）的术前实验室变量进行了分析。恶性与良性病变的WBC计数、ANC、MCV、MPV、PDW、CA125、NLR、PMR、LMR、SII比较，差异有统计学意义（P < 0.05）。多变量分析显示，高WBC计数、高ANC、低MCV、低MPV、低PDW、高CA125、高NLR、高PMR、高LMR和高SII独立预测子宫内膜恶性肿瘤的存在。
结论： MPV+PDW+NLR组合标志物对恶性肿瘤的存在具有良好的判别能力（AUC 0.797）。我们的结果表明血液学标志物可用于区分恶性和良性子宫内膜病变。
关键词:子宫内膜癌, 分化, 血液学参数, 组合标志物
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