Downregulation of miR-186 is associated with metastatic recurrence of gastrointestinal stromal tumors.
Downregulation of miR-186 is associated with metastatic recurrence of gastrointestinal stromal tumors.
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DOI：
10.3892/ol.2017.6911
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发表时间：
2017-11
期刊：
影响因子：
2.9
通讯作者：
Suzuki H
中科院分区：
文献类型：
--
作者：
Niinuma T;Kai M;Kitajima H;Yamamoto E;Harada T;Maruyama R;Nobuoka T;Nishida T;Kanda T;Hasegawa T;Tokino T;Sugai T;Shinomura Y;Nakase H;Suzuki H
虽然microRNAs调节失调(miRNAs/miRs)是人类恶性肿瘤的共同特征，但它与胃肠道间质瘤(GIST)的关系尚不完全清楚。本研究旨在确定在胃肠道间质瘤转移中起作用的miRNAs。使用微阵列分析了一系列32例原发GIST的miRNA表达谱，发现miR-186在转移复发的肿瘤中下调。对100例原发GIST的独立队列进行的逆转录定量聚合酶链式反应分析显示，miR-186低表达与转移复发和预后不良有关。在GIST-T1细胞中抑制miR-186可促进细胞迁移。基因表达芯片分析显示，miR-186抑制上调了一系列与肿瘤转移有关的基因，包括胰岛素样生长因子结合蛋白3、AKT丝氨酸/苏氨酸激酶2、肝细胞生长因子受体、CXC趋化因子受体4和含有表皮生长因子的纤维蛋白样胞外基质蛋白1。这些结果表明miR-186表达下调参与了GIST的转移复发，miR-186水平可能是临床预后的预测生物标志物。
Although dysregulation of microRNAs (miRNAs/miRs) is a common feature of human malignancies, its involvement in gastrointestinal stromal tumors (GISTs) is not fully understood. The present study aimed to identify the miRNAs that perform a role in GIST metastasis. miRNA expression profiles from a series of 32 primary GISTs were analyzed using microarrays, and miR-186 was observed to be downregulated in tumors exhibiting metastatic recurrence. Reverse transcription-quantitative polymerase chain reaction analysis of an independent cohort of 100 primary GISTs revealed that low miR-186 expression is associated with metastatic recurrence and a poor prognosis. Inhibition of miR-186 in GIST-T1 cells promoted cell migration. Gene expression microarray analysis demonstrated that miR-186 inhibition upregulated a set of genes implicated in cancer metastasis, including insulin-like growth factor-binding protein 3, AKT serine/threonine kinase 2, hepatocyte growth factor receptor, CXC chemokine receptor 4 and epidermal growth factor-containing fibulin-like extracellular matrix protein 1. These results suggest that the downregulation of miR-186 is involved in the metastatic recurrence of GISTs, and that miR-186 levels could potentially be a predictive biomarker for clinical outcome.
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影响因子：
--
作者：
Ohta K;Hoshino H;Wang J;Ono S;Iida Y;Hata K;Huang SK;Colquhoun S;Hoon DS
通讯作者：
Hoon DS
影响因子：
3.7
作者：
Isosaka M;Niinuma T;Nojima M;Kai M;Yamamoto E;Maruyama R;Nobuoka T;Nishida T;Kanda T;Taguchi T;Hasegawa T;Tokino T;Hirata K;Suzuki H;Shinomura Y
通讯作者：
Shinomura Y
影响因子：
--
作者：
Cui, Guanghui;Cui, Mingwei;Zhao, Song
通讯作者：
Zhao, Song
影响因子：
3.7
作者：
Chen, Jia-Yang;Tang, Yen-An;Wang, Yi-Ching
通讯作者：
Wang, Yi-Ching
影响因子：
168.9
作者：
Joensuu, Heikki;Hohenberger, Peter;Corless, Christopher L.
通讯作者：
Corless, Christopher L.