Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing

被引:51
作者
Wang, Fan [1 ]
Lu, Juan [1 ]
Peng, Xiaohong [1 ]
Wang, Jie [1 ]
Liu, Xiong [1 ]
Chen, Xiaomei [1 ]
Jiang, Yiqi [3 ]
Li, Xiangping [1 ]
Zhang, Bao [2 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Dept Otolaryngol Head & Neck Surg, Guangzhou 510515, Guangdong, Peoples R China
[2] Southern Med Univ, Sch Publ Hlth & Trop Med, Guangzhou 510515, Guangdong, Peoples R China
[3] BGI Genom Co Ltd, Dept Guangdong Dist 2, Shenzhen 518083, Peoples R China
基金
中国国家自然科学基金;
关键词
Nasopharyngeal Carcinoma; microRNA; Deep Sequencing; Regulatory network; miR-34c-5p; LASER CAPTURE MICRODISSECTION; PROMOTES CELL-PROLIFERATION; PROGNOSTIC VALUE; TARGETING PTEN; CYCLIN D1; EXPRESSION; CANCER; GROWTH; RADIORESISTANCE; TUMORIGENESIS;
D O I
10.1186/s13046-016-0292-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknown. Laser capture microdissection (LCM) and deep sequencing are powerful tools that can help us to detect the integrated view of miRNA-target network. Methods: Illumina Hiseq2000 deep sequencing was used to screen differentially expressed miRNAs in laser-microdessected biopsies between 12 NPC and 8 chronic nasopharyngitis patients. The result was validated by real-time PCR on 201 NPC and 25 chronic nasopharyngitis patients. The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software. Results: Eight differentially expressed miRNAs were identified between NPC and chronic nasopharyngitis patients by deep sequencing. Further qRT-PCR assays confirmed 3 down-regulated miRNAs (miR-34c-5p, miR-375 and miR-449c-5p), 4 up-regulated miRNAs (miR-205-5p, miR-92a-3p, miR-193b-3p and miR-27a-5p). Additionally, the low level of miR-34c-5p (miR-34c) was significantly correlated with advanced TNM stage. GO and KEGG enrichment analyses showed that 914 target genes were involved in cell cycle, cytokine secretion and tumor immunology, and so on. IPA revealed that cancer was the top disease associated with those dysregulated miRNAs, and the genes regulated by miR-34c were in the center of miRNA-mRNA regulatory network, including TP53, CCND1, CDK6, MET and BCL2, and the PI3K/AKT/mTOR signaling was regarded as a significant function pathway in this network. Conclusion: Our study presents the current knowledge of miRNA regulatory network in NPC with combination of bioinformatics analysis and literature research. The hypothesis of miR-34c regulatory pathway may be beneficial in guiding further studies on the molecular mechanism of NPC tumorigenesis.
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页数:11
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