Literature DB >> 25973099

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

Jinhui Chen1, Rui Yang1, Wei Zhang1, Yongping Wang1.   

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.

Entities:  

Keywords:  Nasopharyngeal carcinoma; differentially expressed genes; microRNAs; pathway enrichment; regulatory network

Mesh:

Substances:

Year:  2015        PMID: 25973099      PMCID: PMC4396270     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  35 in total

1.  LIBGS: a MATLAB software package for gene selection.

Authors:  Yi Zhang; Dingding Wang; Tao Li
Journal:  Int J Data Min Bioinform       Date:  2010       Impact factor: 0.667

2.  Genetic screen for chromosome instability in mice: Mcm4 and breast cancer.

Authors:  Naoko Shima; Tavanna R Buske; John C Schimenti
Journal:  Cell Cycle       Date:  2007-05-05       Impact factor: 4.534

3.  Clinical hereditary characteristics in nasopharyngeal carcinoma through Ye-Liang's family cluster.

Authors:  F Zhang; J Zhang
Journal:  Chin Med J (Engl)       Date:  1999-02       Impact factor: 2.628

4.  Cyclin E2 induces genomic instability by mechanisms distinct from cyclin E1.

Authors:  C Elizabeth Caldon; C Marcelo Sergio; Andrew Burgess; Andrew J Deans; Robert L Sutherland; Elizabeth A Musgrove
Journal:  Cell Cycle       Date:  2013-01-16       Impact factor: 4.534

5.  Genome-wide scan for familial nasopharyngeal carcinoma reveals evidence of linkage to chromosome 4.

Authors:  Bing-Jian Feng; Wei Huang; Yin Yao Shugart; Ming K Lee; Feng Zhang; Jian-Chuan Xia; Hui-Yun Wang; Teng-Bo Huang; Shao-Wen Jian; Ping Huang; Qi-Sheng Feng; Li-Xi Huang; Xing-Juan Yu; Duang Li; Li-Zheng Chen; Wei-Hua Jia; Yan Fang; Hui-Ming Huang; Jing-Liu Zhu; Xiao-Ming Liu; Yan Zhao; Wang-Qing Liu; Mang-Quan Deng; Wei-Han Hu; Shao-Xiong Wu; Hao-Yuan Mo; Ming-Fang Hong; Mary Claire King; Zhu Chen; Yi-Xin Zeng
Journal:  Nat Genet       Date:  2002-07-15       Impact factor: 38.330

6.  A human homologue of the yeast replication protein Cdc21. Interactions with other Mcm proteins.

Authors:  C Musahl; D Schulte; R Burkhart; R Knippers
Journal:  Eur J Biochem       Date:  1995-06-15

7.  Cytoscape 2.8: new features for data integration and network visualization.

Authors:  Michael E Smoot; Keiichiro Ono; Johannes Ruscheinski; Peng-Liang Wang; Trey Ideker
Journal:  Bioinformatics       Date:  2010-12-12       Impact factor: 6.937

8.  miRNA target enrichment analysis reveals directly active miRNAs in health and disease.

Authors:  Israel Steinfeld; Roy Navon; Robert Ach; Zohar Yakhini
Journal:  Nucleic Acids Res       Date:  2012-12-02       Impact factor: 16.971

9.  miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions.

Authors:  Sheng-Da Hsu; Yu-Ting Tseng; Sirjana Shrestha; Yu-Ling Lin; Anas Khaleel; Chih-Hung Chou; Chao-Fang Chu; Hsi-Yuan Huang; Ching-Min Lin; Shu-Yi Ho; Ting-Yan Jian; Feng-Mao Lin; Tzu-Hao Chang; Shun-Long Weng; Kuang-Wen Liao; I-En Liao; Chun-Chi Liu; Hsien-Da Huang
Journal:  Nucleic Acids Res       Date:  2013-12-04       Impact factor: 16.971

10.  Genome-wide analyses of radioresistance-associated miRNA expression profile in nasopharyngeal carcinoma using next generation deep sequencing.

Authors:  Guo Li; Yuanzheng Qiu; Zhongwu Su; Shuling Ren; Chao Liu; Yongquan Tian; Yong Liu
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

View more
  2 in total

1.  Identification of Potential Therapeutic Gene Markers in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.

Authors:  Kai Xue; Jinfeng Cao; Yinan Wang; Xue Zhao; Dan Yu; Chunshun Jin; Chengbi Xu
Journal:  Clin Transl Sci       Date:  2019-12-21       Impact factor: 4.689

2.  Construction and Analysis of lncRNA-Mediated ceRNA Network in Nasopharyngeal Carcinoma Based on Weighted Correlation Network Analysis.

Authors:  Zhenning Zou; Shuguang Liu; Yanping Ha; Bowan Huang
Journal:  Biomed Res Int       Date:  2020-10-10       Impact factor: 3.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.