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MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma

机译:MicroRNA表达改变与胰腺导管腺癌的肿瘤发生和非肿瘤过程有关

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Pancreatic ductal adenocarcinoma (PDAC) is known for its very poor overall prognosis. Accurate early diagnosis and new therapeutic modalities are therefore urgently needed. We used 377 feature microRNA (miRNA) arrays to investigate miRNA expression in normal pancreas, chronic pancreatitis, and PDAC tissues as well as PDAC-derived cell lines. A pancreatic miRNome was established comparing the data from normal pancreas with a reference set of 33 human tissues. The expression of miR-216 and -217 and lack of expression of miR-133a were identified as characteristic of pancreas tissue. Unsupervised clustering showed that the three pancreatic tissues types can be classified according to their respective miRNA expression profiles. We identified 26 miRNAs most prominently misregulated in PDAC and a relative quantitative reverse transcriptase-polymerase chain reaction index using only miR-217 and -196a was found to discriminate normal pancreas, chronic pancreatitis and cancerous tissues, establishing a potential utility for miRNAs in diagnostic procedures. Lastly, comparing differentially expressed genes from PDAC with predicted miRNA target genes for the top 26 miRNAs, we identified potential novel links between aberrant miRNA expression and known target genes relevant to PDAC biology. Our data provides novel insights into the miRNA-driven pathophysiological mechanisms involved in PDAC development and offers new candidate targets to be exploited both for diagnostic and therapeutic strategies.
机译:胰腺导管腺癌(PDAC)的总体预后非常差。因此,迫切需要准确的早期诊断和新的治疗方式。我们使用377个功能微RNA(miRNA)阵列来研究miRNA在正常胰腺,慢性胰腺炎和PDAC组织以及PDAC衍生的细胞系中的表达。建立了胰腺miRNome,将正常胰腺的数据与一组33个人体组织的参考数据进行比较。 miR-216和-217的表达以及miR-133a的缺乏被确定为胰腺组织的特征。无监督聚类表明,可以根据它们各自的miRNA表达谱对三种胰腺组织类型进行分类。我们鉴定了26个在PDAC中最明显失调的miRNA,仅使用miR-217和-196a的相对定量逆转录酶-聚合酶链反应指数被发现可以区分正常胰腺,慢性胰腺炎和癌组织,从而在诊断程序中建立了miRNA的潜在用途。最后,将来自PDAC的差异表达基因与预测的前26个miRNA的miRNA靶基因进行比较,我们确定了异常的miRNA表达与与PDAC生物学相关的已知靶基因之间的潜在新联系。我们的数据为参与PDAC开发的miRNA驱动的病理生理机制提供了新颖的见解,并提供了可用于诊断和治疗策略的新候选靶标。

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