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血清微小RNA检测组(miR-16-2*、miR-195、miR-2861、miR-497)作为检测宫颈癌的新型非侵入性生物标志物。

Serum miRNAs panel (miR-16-2*, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer.

作者信息

Zhang Yujuan, Zhang Donghong, Wang Fei, Xu Danfei, Guo Ye, Cui Wei

机构信息

Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan, Beijing, 100730, China.

出版信息

Sci Rep. 2015 Dec 14;5:17942. doi: 10.1038/srep17942.

Abstract

miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497).

摘要

微小RNA(miRNAs)已被确认为肿瘤发生过程中的关键调控层面;细胞外miRNAs异常稳定;而且,定量逆转录聚合酶链反应(qRT-PCR)为在广泛动态范围内定量miRNAs提供了一个灵敏的平台。在此,我们旨在建立一种用于诊断宫颈癌(CC)的血清miRNA特征。在本研究中,我们招募了一组184例CC患者、186例宫颈上皮内瘤变(CIN)患者和193例健康对照者。最初阶段对血清样本进行qRT-PCR,以筛选444种miRNAs,训练阶段筛选66种miRNAs,验证阶段筛选7种miRNAs。建立了由4种循环miRNAs(miR-16-2*、miR-195、miR-2861、miR-497)组成的用于CC诊断的特征。通过受试者工作特征(ROC)曲线分析,这种4-miRNA特征在区分CC患者(曲线下面积[AUC]=0.849)以及CIN个体(AUC=0.734)与健康对照者方面显示出高准确性。在这4种miRNAs中,只有miR-16-2*,而不是miR-195、miR-2861或miR-497,在乳腺癌和卵巢癌患者血清中呈现出相似的模式。总体而言,我们的研究鉴定出了一种由4种miRNAs(miR-16-2*、miR-195、miR-2861、miR-497)组成的新型非侵入性生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e34/4677300/a7fcc9437abd/srep17942-f1.jpg

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