A panel of seven-miRNA signature in plasma as potential biomarker for colorectal cancer diagnosis

小RNA 结直肠癌 生物标志物 生物 接收机工作特性 癌症 阶段(地层学) 实时聚合酶链反应 微泡 肿瘤科 内科学 生物信息学 基因 遗传学 医学 古生物学
作者
Huo Zhang,Mingxia Zhu,Xia Shan,Xin Zhou,Tongshan Wang,Jinying Zhang,Jinsong Tao,Wen‐Fang Cheng,Gang Chen,Jian Li,Ping Liu,Qiang Wang,Wei Zhu
出处
期刊:Gene [Elsevier BV]
卷期号:687: 246-254 被引量:112
标识
DOI:10.1016/j.gene.2018.11.055
摘要

Colorectal cancer (CRC) has been one of the most commonly diagnosed cancers in global. The differential expression profiles of microRNAs (miRNAs) in CRC plasma of patients have the potential to serve as a diagnostic biomarker. We conducted a four-stage study to identify the potential plasma miRNAs for CRC detection. In the initial screening phase, Exiqon panel (miRCURY-Ready-to-Use-PCR-Human-panel-I + II-V1.M) including 3 CRC pools and 1 normal controls (NCs) pool were applied to acquire miRNA profiles. In the training stage (30 CRC VS. 30 NCs) and testing stage (79 CRC VS. 76 NCs), quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to conduct candidate miRNA profiles. Then the identified miRNAs were verified in external validation stage (30 CRC VS. 26 NCs). Expression levels of identified miRNAs were assessed in tissue samples (24 pairs) and plasma exosomes (18 CRC VS. 18 NCs). Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic accuracy. Seven miRNAs (miR-103a-3p, miR-127-3p, miR-151a-5p, miR-17-5p, miR-181a-5p, miR-18a-5p and miR-18b-5p) were significantly overexpressed in CRC compared with NCs. Area under the ROC curve of the seven-miRNA signature was 0.762, 0.824 and 0.895 for the training, testing and the external validation stages, respectively. Additionally, miR-103a-3p, miR-127-3p, miR-17-5p and miR-18a-5p were discovered significantly up-regulated in CRC tissues; while miR-17-5p, miR-181a-5p, miR-18a-5p and miR-18b-5p were significantly elevated in CRC plasma exosomes. In conclusion, we established a seven-miRNA signature in the peripheral plasma for CRC detection.

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