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Tissue factor pathway inhibitor 2: A potential diagnostic marker for discriminating benign from malignant ovarian tumors

机译:组织因子通路抑制剂 2:区分良恶性卵巢肿瘤的潜在诊断标志物

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Abstract Objectives Carbohydrate antigen 125 (CA125), CA19‐9, carcinoembryonic antigen (CEA), human epididymis protein 4 (HE4), and the Risk of Ovarian Malignancy Algorithm (ROMA) are widely used as tumor markers and algorithms for the diagnosis of ovarian cancer (OC). Tissue factor pathway inhibitor 2 (TFPI2) has been developed as a potential serodiagnostic marker for OC in Japan. The aim of this study is to evaluate the diagnostic accuracy of the six markers alone and in combination to find the best marker for discriminating between benign and malignant ovarian tumors. Methods Frozen serum samples collected from 484 patients were divided into three groups based on histopathological results: OC (n?=?119), borderline ovarian tumors (BR) (n?=?48), and benign ovarian tumors (BN) (n?=?317). Diagnostic accuracy was calculated with an area under a receiver operating characteristic (AUC) curve. Results TFPI2 achieved the highest discrimination between the OC?+?BR group versus the BN group (AUC 0.8076). ROMA values best discriminated patients with OC from those with BN (AUC, 0.8966), which was equivalent to TFPI2 (AUC, 0.8937). For discriminating the OC group from the BR?+?BN group, the highest AUC value was achieved by ROMA values (AUC, 0.8884), and TFPI2 also showed comparable diagnostic accuracy (AUC, 0.8845). Combining TFPI2 with ROMA had the highest AUC (0.8420–0.9357). Conclusion TFPI2 may be a clinically useful single marker comparable to conventional ROMA values for discriminating between benign and malignant ovarian tumors.
机译:摘要 目的 碳水化合物抗原125(CA125)、CA19-9、癌胚抗原(CEA)、人附睾蛋白4(HE4)和卵巢恶性肿瘤风险算法(ROMA)作为卵巢癌(OC)诊断的肿瘤标志物和诊断算法被广泛应用。在日本,组织因子通路抑制剂 2 (TFPI2) 已被开发为一种潜在的 OC 血清诊断标志物。本研究的目的是评估单独和组合六种标志物的诊断准确性,以找到区分良性和恶性卵巢肿瘤的最佳标志物。方法 根据组织病理学结果将484例患者冷冻血清标本分为3组:OC(n?=?119)、交界性卵巢肿瘤(br)(n?=?48)和卵巢良性肿瘤(BN)(n?=?317)。使用受试者工作特征 (AUC) 曲线下的面积计算诊断准确性。结果 TFPI2在OC?+?BR组与BN组的区分度最高(AUC 0.8076)。ROMA 值最能区分 OC 患者和 BN 患者 (AUC, 0.8966),相当于 TFPI2 (AUC, 0.8937)。在区分OC组和BR?+?BN组时,ROMA值的AUC值最高(AUC,0.8884),TFPI2也显示出相当的诊断准确性(AUC,0.8845)。TFPI2与ROMA联合使用具有最高的AUC(0.8420–0.9357)。结论 TFPI2在鉴别卵巢良恶性肿瘤方面可能是一种临床上有用的单一标志物,与常规ROMA值相当。

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