Department of Gynecology and Obstetrics, University Hospital Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany.
Department of General Pediatrics, Division of Neuropediatrics and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Arch Gynecol Obstet. 2022 Nov;306(5):1623-1632. doi: 10.1007/s00404-022-06482-8. Epub 2022 Mar 13.
Endometrial carcinoma is the second most common gynecological malignancy. Until today lacking a screening tool. A blood-based biomarker could help address this need.
The expression levels of 30 acylcarnitines, 18 amino acids, 6 miRNAs, and 7 DNA methylation sites were measured in blood samples from 331 women (20 EC, 14 benign uterine lesions (benign), 140 breast cancers (BC), 157 controls). Areas under the ROC curves (AUC), sensitivity (sens.) and specificity (spec.) were computed to identify the variables best distinguishing.
The best top ten markers for the four comparisons (cancer vs. cancer-free; EC vs. BC, EC vs. controls; EC vs. benign), were identified via AUC. Malonylcarnitine distinguished best patients with EC from controls (AUC: 0.827, sens. 80%, spec. 73.1%) or BC (AUC: 0.819, sens. 84.3%, spec. 80%) being most notable. Tryptophan best differentiated benign from EC (AUC: 0.846, sens. 70%, spec. 92.9%).
The levels of the analyzed blood markers yielded promising results in the detection of EC and warrant further evaluation.
子宫内膜癌是第二常见的妇科恶性肿瘤。直到今天，还缺乏一种筛查工具。基于血液的生物标志物可以帮助满足这一需求。
在 331 名女性（20 名子宫内膜癌患者、14 名良性子宫病变患者、140 名乳腺癌患者、157 名对照者）的血液样本中测量了 30 种酰基肉碱、18 种氨基酸、6 种 miRNA 和 7 种 DNA 甲基化位点的表达水平。计算了 ROC 曲线下的面积 (AUC)、灵敏度 (sens.) 和特异性 (spec.)，以确定最佳区分变量。
通过 AUC 确定了用于四种比较（癌症与无癌；子宫内膜癌与乳腺癌、子宫内膜癌与对照者、子宫内膜癌与良性）的最佳前 10 个标记物。丙二酰肉碱区分子宫内膜癌患者与对照者（AUC：0.827，灵敏度 80%，特异性 73.1%）或乳腺癌患者（AUC：0.819，灵敏度 84.3%，特异性 80%）的效果最佳。色氨酸最佳区分良性与子宫内膜癌（AUC：0.846，灵敏度 70%，特异性 92.9%）。
分析的血液标志物水平在检测子宫内膜癌方面取得了有希望的结果，值得进一步评估。
