Identification of four serum microRNAs from a genome-wide serum microRNA expression profile as potential non-invasive biomarkers for endometrioid endometrial cancer
Identification of four serum microRNAs from a genome-wide serum microRNA expression profile as potential non-invasive biomarkers for endometrioid endometrial cancer
复制标题
从全基因组血清 microRNA 表达谱中鉴定四种血清 microRNA 作为子宫内膜样子宫内膜癌的潜在非侵入性生物标志物
DOI：
10.3892/ol.2013.1338
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发表时间：
2013-07-01
期刊：
影响因子：
2.9
通讯作者：
Xiang, Yang
中科院分区：
文献类型：
--
作者：
Jia, Wenhui;Wu, Yuanzhe;Xiang, Yang
血清 microRNA (miRNA) 在各种疾病患者中具有出色的稳定性和独特的浓度分布，是有前途的肿瘤检测非侵入性生物标志物。本研究调查了子宫内膜样子宫内膜癌 (EEC) 患者血清 microRNA 的变化，以便在相对早期阶段预测该疾病的恶性程度。 TaqMan® 低密度阵列 (TDLA) 用于在初始筛选阶段使用来自 7 名 EEC 患者和 20 名对照者的血清样本进行分析。使用基于水解探针的茎环定量逆转录聚合酶链反应 (qRT-PCR) 在取自 26 名 EEC 患者和 22 名年龄和性别匹配的健康对照的样本中验证了差异表达。从 TLDA 获得的数据表明，与对照组相比，EEC 患者中有 22 种血清 miRNA 显着上调。 qRT-PCR 分析进一步鉴定了四种血清 miRNA（miR-222、miR-223、miR-186 和 miR-204）的谱，作为 EEC 检测的指纹。该四血清 miRNA 特征的受试者工作特征 (ROC) 曲线下面积为 0.927，明显高于碳水化合物抗原 125 (CA-125；0.673)。通过全基因组血清 miRNA 表达谱分析鉴定出的四种 miRNA 特征为 EEC 诊断提供了一种新颖的非侵入性方法。
Serum microRNAs (miRNAs), with their remarkable stability and unique concentration profiles in patients with various diseases, are promising non-invasive biomarkers for tumor detection. The present study investigated the altered profiles of serum microRNAs in patients with endometrioid endometrial cancer (EEC) in order to predict the malignancy of the disease at a relatively early stage. TaqMan® low-density arrays (TDLAs) were used to perform an analysis in the initial screening phase using serum samples pooled from seven EEC patients and 20 controls. The differential expression was validated using a hydrolysis probe-based stem-loop quantitative reverse transcription polymerase chain reaction (qRT-PCR) in samples taken from 26 EEC patients and 22 age- and gender-matched healthy controls. The data obtained from the TLDAs demonstrated that 22 serum miRNAs were markedly upregulated in the EEC patients compared with the controls. The qRT-PCR analysis further identified a profile of four serum miRNAs (miR-222, miR-223, miR-186 and miR-204) as a fingerprint for EEC detection. The area under the receiver operating characteristic (ROC) curve of this four-serum miRNA signature was 0.927, which was markedly higher than that of carbohydrate antigen 125 (CA-125; 0.673). The four-miRNA signature identified by genome-wide serum miRNA expression profiling analysis provides a novel, non-invasive approach for EEC diagnosis.