A serum lipidomics study for the identification of specific biomarkers for endometrial polyps to distinguish them from endometrial cancer or hyperplasia,International Journal of Cancer

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A serum lipidomics study for the identification of specific biomarkers for endometrial polyps to distinguish them from endometrial cancer or hyperplasia
International Journal of Cancer ( IF 5.7 ) Pub Date : 2022-01-25 , DOI: 10.1002/ijc.33943
Xingxu Yan ₁ , Wen Zhao ₂ , Jinxia Wei ₁ , Yaqi Yao ₁ , Guijiang Sun ₃ , Lei Wang ₄ , Wenqing Zhang ₁ , Siyu Chen ₁ , Wenjie Zhou ₁ , Huan Zhao ₁ , Xiaomeng Li ₁ , Yu Xiao ₅ , Yubo Li ₁

Affiliation

Endometrial diseases, including endometrial polyps (EP), endometrial cancer (EC) and endometrial hyperplasia (EH), are common gynecological diseases that affect women of childbearing and perimenopausal age. Clinically, biopsy or imaging methods are usually used to screen and diagnose these diseases; however, due to the invasiveness and heterogeneity of these tests, a noninvasive, convenient, objective and accurate biomarker is needed for the differential diagnosis of EP, EC or EH. In the present study, serum samples from 326 patients with endometrial diseases and 225 healthy volunteers were analyzed using nontargeted lipidomics. A combination of multivariate and univariate analyses was used to identify and qualify six, eight and seven potential biomarkers in the sera from patients with EP, EC and EH, respectively. Using a logistic regression algorithm and receiver operating characteristic (ROC) curve analysis, a biomarker panel including four specific EP biomarkers, 6-keto-PGF1α, PA(37:4), LysoPC(20:1) and PS(36:0), showed good classification and diagnostic ability in distinguishing EP from EC or EH. The biomarker panel for distinguishing EP from EC yielded an area under the curve (AUC) of 0.915, sensitivity of 100% and specificity of 72.41%, while that for distinguishing EP from EH yielded an AUC of 1.000, sensitivity of 100% and specificity of 100%. The two diagnostic models also showed good diagnostic abilities in the validation set. Therefore, this biomarker panel can be used as a rapid diagnostic method to assist in imaging examinations and provide a reference for clinicians in the identification and diagnosis of endometrial diseases.

中文翻译：

一项血清脂质组学研究，用于鉴定子宫内膜息肉的特定生物标志物，以将其与子宫内膜癌或增生区分开来

子宫内膜疾病，包括子宫内膜息肉（EP）、子宫内膜癌（EC）和子宫内膜增生（EH），是影响育龄期和围绝经期妇女的常见妇科疾病。临床上，通常采用活检或影像学方法对这些疾病进行筛查和诊断；然而，由于这些检测的侵入性和异质性，需要一种无创、方便、客观和准确的生物标志物来鉴别诊断EP、EC或EH。在本研究中，使用非靶向脂质组学分析了来自 326 名子宫内膜疾病患者和 225 名健康志愿者的血清样本。多变量和单变量分析的组合用于分别鉴定和鉴定 EP、EC 和 EH 患者血清中的六、八和七种潜在生物标志物。使用逻辑回归算法和接受者操作特征 (ROC) 曲线分析，生物标志物组包括四种特定的 EP 生物标志物，6-keto-PGF1α、PA(37:4)、LysoPC(20:1) 和 PS(36:0) ，在区分 EP 与 EC 或 EH 方面表现出良好的分类和诊断能力。区分 EP 和 EC 的生物标志物组的曲线下面积 (AUC) 为 0.915，灵敏度为 100%，特异性为 72.41%，而区分 EP 和 EH 的生物标志物组的 AUC 为 1.000，灵敏度为 100%，特异性为100%。这两种诊断模型在验证集中也表现出良好的诊断能力。因此，该生物标志物panel可作为一种快速诊断方法，辅助影像学检查，为临床医生对子宫内膜疾病的鉴别诊断提供参考。

更新日期：2022-01-25

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