Open Access


Read more
image01

Online Manuscript Submission


Read more
image01

Submitted Manuscript Trail


Read more
image01

Online Payment


Read more
image01

Online Subscription


Read more
image01

Email Alert



Read more
image01

Original Research Article | OPEN ACCESS

Identification of immune regulatory protein-coding genes in the development of lung adenocarcinoma (LUAD)

Wen Ge1, Hua Tang2, Jing Wang3, Yichun Xu4,5, Haitao Ma1

1Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 215006, Suzhou, P. R. China; 2Department of Thoracic and Cardiovascular Surgery, Changzheng Hospital, affiliated to Naval Medical University, 200003, Shanghai, P. R. China; 3Department of Thoracic and Cardiovascular Surgery, Shuguang Hospital, affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, P. R. China; 4National Engineering Research Center for Biochip, ShanghaiBiochip Limited Corporation, 201203, Shanghai, P. R. China; 5Department of Pathology, Shanghai Tongji Hospital, Tongji Hospital Affiliated to Tongji University, 200065, Shanghai, P. R. China.

For correspondence:-  Haitao Ma   Email: Haitao_ma61@163.com

Accepted: 19 February 2023        Published: 31 March 2023

Citation: Ge W, Tang H, Wang J, Xu Y, Ma H. Identification of immune regulatory protein-coding genes in the development of lung adenocarcinoma (LUAD). Trop J Pharm Res 2023; 22(3):543-552 doi: 10.4314/tjpr.v22i3.11

© 2023 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To verify the differential expressed genes (DEGs) based on The Cancer Genome Atlas (TCGA) using RNA-seq data from eight LUAD patients
Methods: TCGA database was used for extraction and analysis of RNA-seq profile in LUAD patients. Then RNA sequencing was performed using the tissue samples from eight LUAD patients for comparison. Weighted correlation network analysis (WGCNA) was applied to establish the co-expression modules and identify hub genes using RNA-seq data from the eight LUAD patients. Protein-protein interaction (PPI) analysis was used to reveal hub genes and GO analysis was performed for functional annotation including immune responses.
Results: ALDH3A1, METTL7B, WFDC2 and CDH23 that had close correlation with the immune system were identified by TCGA and validated by RNA-seq from the eight LUAD patients. IL17REL was revealed as a potential oncogene in LUAD.
Conclusion: This study highlighted potentially useful biomarkers associated with LUAD development and diagnosis.

Keywords: Biomarkers. Immune regulator. Lung adenocarcinoma. Weighted correlation network analysis.

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

Article Tools

Share this article with



Article status: Free
Fulltext in PDF
Similar articles in Google
Similar article in this Journal:

Archives

2024; 23: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10. 
2023; 22: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2022; 21: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2021; 20: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2020; 19: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2019; 18: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2018; 17: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2017; 16: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2016; 15: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2015; 14: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2014; 13: 
1,   2,   3,   4,   5,   6,   7,   8,   9,   10,   11,   12. 
2013; 12: 
1,   2,   3,   4,   5,   6. 
2012; 11: 
1,   2,   3,   4,   5,   6. 
2011; 10: 
1,   2,   3,   4,   5,   6. 
2010; 9: 
1,   2,   3,   4,   5,   6. 
2009; 8: 
1,   2,   3,   4,   5,   6. 
2008; 7: 
1,   2,   3,   4. 
2007; 6: 
1,   2,   3,   4. 
2006; 5: 
1,   2. 
2005; 4: 
1,   2. 
2004; 3: 
1. 
2003; 2: 
1,   2. 
2002; 1: 
1,   2. 

News Updates