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Original Research | Open Access

Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis

Jinru Xuea, Yu Yangb, Bo Jiangb, Linxue Qianb, Xian-Quan Shib( )
Department of Thoracic surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Abstract

Objective

To explore differentially expressed genes (DEGs) between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).

Methods

Based on GEO database, we used R software to identify the DEGs and conducted the bioinformatics analysis to explore the molecular mechanisms of DEGs and constructed PPI network to find the key DEGs. Then we assessed the effect of the eligible key DEGs on survival in LUAD by Kaplan-Meier plotter online tool.

Results

GSE10245 was downloaded from the GEO database, which contained a total of 58 tissue samples, including 18 LUSC and 40 LUAD. We identified 784 DEGs between LUAD and LUSC. DEGs were enriched in statistical significant GO annotation 201 items and KEGG pathways 17 items. By constructed PPI network, we obtained 10 hub genes. Of which, five genes were significantly correlated with the overall survival of LUAD.

Conclusions

P2RY1, CHRM3, LPAR3, NMU, and S1PR5 may be the potential prognostic markers and therapeutic targets for LUAD.

Keywords

Bioinformatics analysisLUADDifferentially expressed genes

References

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Advanced Ultrasound in Diagnosis and Therapy
Volume 4 Issue 4,
August 2020
Pages 335-342
DOI: 10.37015/AUDT.2020.200011

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Cite this article:
Xue J, Yang Y, Jiang B, et al. Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis. Advanced Ultrasound in Diagnosis and Therapy, 2020, 4(4): 335-342. https://doi.org/10.37015/AUDT.2020.200011

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Received: 03 March 2020
Revised: 20 March 2020
Accepted: 20 May 2020
Published: 30 August 2020
© AUDT 2020

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.