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Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma

Abstract

Background

The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.

Methods

Comprehensive bioinformatics methods were applied. Initially, significant differentially expressed genes (DEGs) were analyzed from the Affymetrix microarray data (GSE27262) deposited in the Gene Expression Omnibus (GEO). Subsequently, gene ontology (GO) analysis was performed using online Database for Annotation, Visualization and Integration Discovery (DAVID) software. Finally, significant pathway crosstalk was investigated based on the information derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

Results

According to our results, the N-terminal globular domain of the type X collagen (COL10A1) gene and transmembrane protein 100 (TMEM100) gene were identified to be the most significant DEGs in tumor tissue compared with the adjacent normal tissues. The main GO categories were biological process, cellular component and molecular function. In addition, the crosstalk was significantly different between non-small cell lung cancer pathways and inositol phosphate metabolism pathway, focal adhesion signal pathway, vascular smooth muscle contraction signal pathway, peroxisome proliferator-activated receptor (PPAR) signaling pathway and calcium signaling pathway in tumor.

Conclusions

Dysfunctional genes and pathways may play key roles in the progression and development of lung adenocarcinoma. Our data provide a systematic perspective for understanding this mechanism and may be helpful in discovering an effective treatment for lung adenocarcinoma.

Tumori 2015; 101(3): 281 - 286

Article Type: ORIGINAL RESEARCH ARTICLE

DOI:10.5301/tj.5000278

Authors

Xiya Wu, Wei Zhang, Yunhua Hu, Xianghua Yi

Article History

Disclosures

Financial support: This study was supported by grants from the Shanghai Science and Technology Committee of Medical Key Technology Research Fund (09411951600), the Medical Key Special Fund from the Shanghai Municipal Health Medical Bureau (20134034) and the Medical Science and Technology Development Research Center Fund of the Ministry of Health (W2013GJ61).
Conflict of interest: None.

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Authors

Affiliations

  • Department of Respiratory Medicine, The First Hospital of Nanchang University, Nanchang, Jiangxi - PR China
  • Department of Respiratory Medicine, People’s Hospital of Jiangxi Province, Nanchang, Jiangxi - PR China
  • Department of Cardiology, People’s Hospital of Jiangxi Province, Nanchang, Jiangxi - PR China
  • Department of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai Tongji Hospital, Shanghai - PR China

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