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血清中微小RNA的异常表达可能有助于识别胰腺癌患者。

Aberrant expression of microRNAs in serum may identify individuals with pancreatic cancer.

作者信息

Lin Mao-Song, Chen Wei-Chang, Huang Jun-Xing, Gao Heng-Jun, Sheng Hai-Hui

机构信息

Department of Gastroenterology, Taizhou People's Hospital Taizhou, Jiangsu, China.

Department of Gastroenterology, The First Affiliated Hospital, Soochow University Suzhou, Jiangsu, China.

出版信息

Int J Clin Exp Med. 2014 Dec 15;7(12):5226-34. eCollection 2014.

Abstract

Pancreatic cancer (PC) has the poorest survival rate among all types of human cancer due to the lack of sensitive and non-invasive diagnostic screen methods for PC screening. Our aim was to identify novel serum microRNA (miRNA) biomarkers for the early detection of PC. We used microarray to screen differential expression of miRNAs in two pooled serum samples (6 PC patients and 6 healthy controls). A panel of miRNAs (22 over-expression and 23 decreased) were deregulated in serum of PC patients in comparison to controls. The expressions of 8 selected miRNAs were further evaluated in sera from 49 PC patients and 27 controls using quantitative reverse transcription-polymerase chain reaction. The levels of serum miR-492 and miR-663a were significantly decreased in PC patients compared with controls (P < 0.05). ROC curve analysis showed that serum miR-492 and miR-663a yield an AUC of 0.787 with 75.5% sensitivity and 70.0% specificity and 0.870 with 85.7% sensitivity and 80.0% specificity, respectively, for discriminating between PC patients and healthy controls. In addition, the level of miR-663a was significantly and inversely associated with TNM stage (P = 0.027). These results suggested that serum miR-492 and miR-663a could have strong potential as novel non-invasive biomarkers for the early detection of PC.

摘要

由于缺乏用于胰腺癌(PC)筛查的灵敏且非侵入性的诊断筛查方法,胰腺癌在所有类型的人类癌症中生存率最低。我们的目的是鉴定用于早期检测胰腺癌的新型血清微小RNA(miRNA)生物标志物。我们使用微阵列筛选了两个混合血清样本(6例胰腺癌患者和6例健康对照)中miRNA的差异表达。与对照组相比,一组miRNA(22个过表达和23个表达降低)在胰腺癌患者血清中表达失调。使用定量逆转录-聚合酶链反应进一步评估了49例胰腺癌患者和27例对照血清中8个选定miRNA的表达。与对照组相比,胰腺癌患者血清miR-492和miR-663a水平显著降低(P <0.05)。ROC曲线分析表明,血清miR-492和miR-663a区分胰腺癌患者和健康对照的AUC分别为0.787,灵敏度为75.5%,特异性为70.0%;以及0.870,灵敏度为85.7%,特异性为80.0%。此外,miR-663a水平与TNM分期显著负相关(P = 0.027)。这些结果表明,血清miR-492和miR-663a作为早期检测胰腺癌的新型非侵入性生物标志物具有强大潜力。

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