Wang Lin, Chen Yan-Jie, Xu Kai, Xu Hua, Shen Xi-Zhong, Tu Rui-Qin
Department of Obstetrics and Gynecology, Shanghai Zhongshan Hospital, Fudan University, Shanghai, China.
Department of Gastroenterology, Zhongshan Hospital, Fudan University, Shanghai, China.
PLoS One. 2014 Oct 20;9(10):e110767. doi: 10.1371/journal.pone.0110767. eCollection 2014.
Endometrial cancer is the most common malignancy of the female genital tract worldwide, and endometrial endometrioid adenocarcinoma (EEC) is the major histological type of endometrial cancer. There is a great need for better markers with high sensitivity and specificity to permit early diagnosis and proper management of EEC. The aim of our study is to identify a miRNA classifier within plasma as a noninvasive biomarker for EEC diagnosis.
This study was a retrospective case-control analysis which contained two independent cohorts including 93 participants. First, we screened 375 miRNAs in 29 plasma samples. 9 of the miRNAs were selected to be evaluated their expression by quantitative reverse-transcriptase polymerase chain reaction. A stepwise logistic regression model was then used to establish a new classifier in the validation cohort. Area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy. Co-expression analysis was used to verify the independence of results.
miR-15b, -27a, and -223 were found to be differentially expressed in the EEC plasma between the two cohorts and had few connections with other miRNAs. The areas under the curve (AUC) were 0.768, 0.813, and 0.768 for miR-15b, -27a, and 223, respectively. miR-27a and CA125 can be combined as a potential non-invasive biomarker for detecting EEC, with the AUC of 0.894.
Our study demonstrated three miRNAs, including miR-15b, -27a, and -233 have a good clinical value in EEC diagnosis. The classifier, including miR-27a and CA125, demonstrated a high accuracy in the diagnosis of EEC and might serve as a novel non-invasive biomarker in the future.
子宫内膜癌是全球女性生殖道最常见的恶性肿瘤，子宫内膜样腺癌（EEC）是子宫内膜癌的主要组织学类型。迫切需要具有高灵敏度和特异性的更好标志物，以便对EEC进行早期诊断和妥善管理。我们研究的目的是在血浆中鉴定一种miRNA分类器，作为EEC诊断的非侵入性生物标志物。
本研究为回顾性病例对照分析，包含两个独立队列，共93名参与者。首先，我们在29份血浆样本中筛选了375种miRNA。选择其中9种miRNA通过定量逆转录聚合酶链反应评估其表达。然后使用逐步逻辑回归模型在验证队列中建立新的分类器。采用受试者工作特征曲线下面积评估诊断准确性。共表达分析用于验证结果的独立性。
发现miR-15b、-27a和-223在两个队列的EEC血浆中差异表达，且与其他miRNA的关联较少。miR-15b、-27a和223的曲线下面积（AUC）分别为0.768、0.813和0.768。miR-27a和CA125可联合作为检测EEC的潜在非侵入性生物标志物，AUC为0.894。
我们的研究表明，包括miR-15b、-27a和-233在内的三种miRNA在EEC诊断中具有良好的临床价值。包括miR-27a和CA125的分类器在EEC诊断中显示出高准确性，未来可能作为一种新型非侵入性生物标志物。
