PMID- 25936657
OWN - NLM
STAT- MEDLINE
DCOM- 20160302
LR  - 20181113
IS  - 1791-3004 (Electronic)
IS  - 1791-2997 (Print)
IS  - 1791-2997 (Linking)
VI  - 12
IP  - 2
DP  - 2015 Aug
TI  - Gene expression profiling via bioinformatics analysis reveals biomarkers in 
      laryngeal squamous cell carcinoma.
PG  - 2457-64
LID - 10.3892/mmr.2015.3701 [doi]
AB  - The present study aimed to identify key genes and relevant microRNAs (miRNAs) 
      involved in laryngeal squamous cell carcinoma (LSCC). The gene expression 
      profiles of LSCC tissue samples were analyzed with various bioinformatics tools. 
      A gene expression data set (GSE51985), including ten laryngeal squamous cell 
      carcinoma (LSCC) tissue samples and ten adjacent non-neoplastic tissue samples, 
      was downloaded from the Gene Expression Omnibus. Differential analysis was 
      performed using software package limma of R. Functional enrichment analysis was 
      applied to the differentially expressed genes (DEGs) using the Database for 
      Annotation, Visualization and Integrated Discovery. Protein-protein interaction 
      (PPI) networks were constructed for the protein products using information from 
      the Search Tool for the Retrieval of Interacting Genes/Proteins. Module analysis 
      was performed using ClusterONE (a software plugin from Cytoscape). MicroRNAs 
      (miRNAs) regulating the DEGs were predicted using WebGestalt. A total of 461 DEGs 
      were identified in LSCC, 297 of which were upregulated and 164 of which were 
      downregulated. Cell cycle, proteasome and DNA replication were significantly 
      over-represented in the upregulated genes, while the ribosome was significantly 
      over-represented in the downregulated genes. Two PPI networks were constructed 
      for the up- and downregulated genes. One module from the upregulated gene network 
      was associated with protein kinase. Numerous miRNAs associated with LSCC were 
      predicted, including miRNA (miR)-25, miR-32, miR-92 and miR-29. In conclusion, 
      numerous key genes and pathways involved in LSCC were revealed, which may aid the 
      advancement of current knowledge regarding the pathogenesis of LSCC. In addition, 
      relevant miRNAs were also identified, which may represent potential biomarkers 
      for use in the diagnosis or treatment of the disease.
FAU - Guan, Guo-Fang
AU  - Guan GF
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Zheng, Ying
AU  - Zheng Y
AD  - Department of Otolaryngology, Head and Neck Surgery, Tumor Hospital of Jilin 
      Province, Changchun, Jilin 130012, P.R. China.
FAU - Wen, Lian-Ji
AU  - Wen LJ
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Zhang, De-Jun
AU  - Zhang DJ
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Yu, Duo-Jiao
AU  - Yu DJ
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Lu, Yan-Qing
AU  - Lu YQ
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Zhao, Yan
AU  - Zhao Y
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
FAU - Zhang, Hui
AU  - Zhang H
AD  - Department of Otolaryngology, Head and Neck Surgery, The Second Hospital of Jilin 
      University, Changchun, Jilin 130041, P.R. China.
LA  - eng
PT  - Journal Article
DEP - 20150429
PL  - Greece
TA  - Mol Med Rep
JT  - Molecular medicine reports
JID - 101475259
RN  - 0 (Biomarkers, Tumor)
RN  - 0 (MicroRNAs)
RN  - EC 2.7.- (Protein Kinases)
RN  - EC 3.4.25.1 (Proteasome Endopeptidase Complex)
SB  - IM
MH  - Biomarkers, Tumor/*genetics/metabolism
MH  - Carcinoma, Squamous Cell/*genetics/metabolism/pathology
MH  - Cell Cycle/*genetics
MH  - Computational Biology
MH  - DNA Replication
MH  - Databases, Genetic
MH  - Gene Expression Profiling
MH  - *Gene Expression Regulation, Neoplastic
MH  - Gene Regulatory Networks
MH  - Humans
MH  - Laryngeal Neoplasms/*genetics/metabolism/pathology
MH  - MicroRNAs/genetics/metabolism
MH  - Molecular Sequence Annotation
MH  - Proteasome Endopeptidase Complex/genetics/metabolism
MH  - Protein Interaction Mapping
MH  - Protein Kinases/genetics/metabolism
MH  - Ribosomes/genetics/metabolism
MH  - *Software
PMC - PMC4464462
EDAT- 2015/05/06 06:00
MHDA- 2016/03/05 06:00
PMCR- 2015/04/29
CRDT- 2015/05/05 06:00
PHST- 2014/06/04 00:00 [received]
PHST- 2015/02/20 00:00 [accepted]
PHST- 2015/05/05 06:00 [entrez]
PHST- 2015/05/06 06:00 [pubmed]
PHST- 2016/03/05 06:00 [medline]
PHST- 2015/04/29 00:00 [pmc-release]
AID - mmr-12-02-2457 [pii]
AID - 10.3892/mmr.2015.3701 [doi]
PST - ppublish
SO  - Mol Med Rep. 2015 Aug;12(2):2457-64. doi: 10.3892/mmr.2015.3701. Epub 2015 Apr 
      29.