Laboratory of Biostructure, Chair of Human Anatomy, Medical University of Lublin, Lublin, Poland.
III Chair and Department of Gynaecology, Medical University of Lublin, Lublin, Poland.
BMC Cancer. 2019 Apr 29;19(1):401. doi: 10.1186/s12885-019-5556-x.
Endometrial cancer (EC) is the most common malignancy of the female reproductive tract. Despite years of research, the accurate screening strategy is still not available in this disease and it is usually diagnosed only after the clinical signs are present. The recent technological advances in analytical methodologies enabled detection of multiple molecules in one, small sample of biological materials. Such approach was undertaken in the presented study.
Concentrations of aldehyde dehydrogenase 1 family, member A1 (ALDH1A1), carbonic anhydrase IX (CA9), CD44, epithelial cell adhesion molecule (EpCAM), hepsin, kallikrein-6, mesothelin, midkine, neural cell adhesion molecule L1 (L1CAM), and transglutaminase 2 (TGM2) were measured using MAGPIX®System in plasma samples of 45 EC, 20 healthy controls and 11 patients with endometriosis.
Significantly increased concentration in EC as compared to healthy controls were found in case of CD44 (p < 0.001), EpCAM (p = 0.033) and TGM2 (p < 0.001). EpCAM and mesothelin concentrations differed based on FIGO stages. Regression analysis revealed marker panels with high accuracy in detection of EC. The highest AUC 0.937 was attributed to the 3-marker panel of CD44/TGM2/EpCAM (84% sensitivity, 100% specificity), FIGO IA samples were discriminated from more advanced stages of EC with the mesothelin/grade 1 model featuring AUC of 0.911 (95.24% sensitivity, 78.26% specificity).
Novel plasma biomarkers presenting good accuracy in diagnosing EC were found with TGM2 reported for the first time as plasma marker. It was also revealed that endometriosis may share similarities in the pattern of markers alterations characteristic for EC.
子宫内膜癌(EC)是女性生殖道最常见的恶性肿瘤。尽管经过多年的研究,这种疾病仍然没有准确的筛查策略,通常只有在出现临床症状后才能诊断。最近分析方法的技术进步使得能够在一个小的生物材料样本中检测到多种分子。本研究采用了这种方法。
使用 MAGPIX®系统测量了 45 例 EC、20 例健康对照和 11 例子宫内膜异位症患者血浆样本中醛脱氢酶 1 家族成员 A1(ALDH1A1)、碳酸酐酶 9(CA9)、CD44、上皮细胞黏附分子(EpCAM)、组织蛋白酶、激肽释放酶 6、间皮素、中期因子、神经细胞黏附分子 L1(L1CAM)和转谷氨酰胺酶 2(TGM2)的浓度。
与健康对照组相比,EC 患者的 CD44(p<0.001)、EpCAM(p=0.033)和 TGM2(p<0.001)浓度显著升高。EpCAM 和间皮素浓度根据 FIGO 分期而不同。回归分析显示,具有高准确性的标志物组合可用于检测 EC。最高 AUC 为 0.937 的是由 CD44/TGM2/EpCAM 组成的 3 标志物组合(84%敏感性,100%特异性),中分化 1 期 EC 与更晚期 EC 样本的区分使用间皮素/分级模型,AUC 为 0.911(95.24%敏感性,78.26%特异性)。
发现了具有良好诊断 EC 准确性的新型血浆生物标志物,TGM2 首次被报道为血浆标志物。还揭示了子宫内膜异位症可能与 EC 特征性标志物改变模式存在相似之处。