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基于生物信息学研究的鼻咽癌候选通路和基因

Candidate pathways and genes for nasopharyngeal carcinoma based on bioinformatics study.

作者信息

Chen Jinhui, Yang Rui, Zhang Wei, Wang Yongping

机构信息

Department of Otorhinolaryngology, Head and Neck Surgery, Wuhan University, Renmin Hospital Wuhan 430060, Hubei Provine, P.R. China.

出版信息

Int J Clin Exp Pathol. 2015 Feb 1;8(2):2026-32. eCollection 2015.

Abstract

PURPOSE

To reveal the potential microRNAs (miRNAs), genes, pathways and regulatory network involved in the process of nasopharyngeal carcinoma (NPC) by using the method of bioinformatics.

METHODS

Gene expression profiles GSE12452 (31 NPC and 10 normal samples) and GSE53819 (18 NPC and 18 normal samples), as well as miRNA expression profiles GSE32960 (312 NPC and 18 normal samples) and GSE36682 (62 NPC and 6 normal samples) were obtained from Gene Expression Omnibus database. The differentially expressed genes (DEGs) and miRNAs (DEmiRNAs) between NPC and normal samples were identified by using t-test based on MATLAB software (FDR < 0.01), followed by pathway enrichment analysis based on DAVID software (P-value < 0.1). Then, DEmiRNA-DEG regulatory network was constructed.

RESULTS

A total of 1254 DEGs and 107 DEmiRNAs were identified, respectively. Then, 16 pathways (including cell cycle) and 32 pathways (including pathways in cancer) were enriched by DEGs and target genes of DEmiRNAs, respectively. Furthermore, DEmiRNA-DEG regulatory network was constructed, containing 12 DEmiRNAs (including has-miR-615-3P) and 180 DEGs (including MCM4 and CCNE2).

CONCLUSION

has-miR-615-3p might take part in the pathogenetic process of NPC through regulating MCM4 which is enriched in cell cycle. The DEmiRNAs identified in the present study might serve as new biomarkers for NPC.

摘要

目的

采用生物信息学方法揭示鼻咽癌(NPC)发生过程中潜在的微小RNA(miRNA)、基因、信号通路及调控网络。

方法

从基因表达综合数据库获取基因表达谱GSE12452(31例NPC和10例正常样本)、GSE53819(18例NPC和18例正常样本)以及miRNA表达谱GSE32960(312例NPC和18例正常样本)、GSE36682(62例NPC和6例正常样本)。基于MATLAB软件采用t检验(FDR<0.01)鉴定NPC与正常样本之间的差异表达基因(DEG)和差异表达miRNA(DEmiRNA),随后基于DAVID软件进行信号通路富集分析(P值<0.1)。然后构建DEmiRNA-DEG调控网络。

结果

分别鉴定出1254个DEG和107个DEmiRNA。然后,DEG和DEmiRNA的靶基因分别富集了16条信号通路(包括细胞周期)和32条信号通路(包括癌症相关信号通路)。此外,构建了DEmiRNA-DEG调控网络,包含12个DEmiRNA(包括has-miR-615-3P)和180个DEG(包括MCM4和CCNE2)。

结论

has-miR-615-3p可能通过调控富集于细胞周期的MCM4参与NPC的发病过程。本研究鉴定出的DEmiRNA可能成为NPC的新型生物标志物。

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