» Articles » PMID: 33120770

Integration of Gene Profile to Explore the Hub Genes of Lung Adenocarcinoma: A Quasi-experimental Study

Overview
Specialty General Medicine
Date 2020 Oct 30
PMID 33120770
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Lung cancer is a leading cause of morbidity diseases worldwide, but the key mechanisms of lung cancer remain elusive. This study aims to integrate of GSE 118370 and GSE 32863 profile and identify the key genes and pathway involved in human lung adenocarcinoma.

Methods: R software (RStudio, Version info: R 3.2.3, Forrester, USA) were utilized to find the differentially expressed genes. All the differentially expressed genes were analyzed by gene ontology, kyoto encyclopedia of genes and genomes. Protein-protein interaction networks were constructed by STRING database and analyzed by Cytohubber and Module. The cancer genome atlas database was used to verification the expression of hub genes. Quantitative reverse transcription-PCR was used to verify the bio-information results.

Results: Sixty-four lung adenocarcinoma and 64 adjacent normal tissues were used for integration analysis. Five hundred ninety-nine co-expression genes were locked. Biological processes mainly enriched in angiogenesis. Cellular component focused on extracellular exosome and molecular function aimed on protein disulfide isomerase activity. Cytohubber analysis showed that GNG11, FPR2, P4HB, PIK3R1, CDC20, ADCY4, TIMP1, IL6, CXC chemokine ligand (CXCL)12, and GAS6 acted as the hub genes during lung adenocarcinoma. Module analysis presented Chemokine signaling pathway was a key pathway. Quantitative reverse transcription-PCR showed that the expression level of GNG11, FPR2, PIK3R1, ADCY4, IL6, CXCL12, and GAS6 were significantly decreased and P4HB, CDC20 and TIMP1 were increased in human adenocarcinoma tissues (P < .05). The cancer genome atlas online analysis showed GNG11 was not associated with survival.

Conclusions: This study firstly reported GNG11 acting as a hub gene in adenocarcinoma. GNG11 could be used as a biomarker for human adenocarcinoma. Chemokine signaling pathway might play important roles in lung adenocarcinoma.

Citing Articles

Targeting Prolyl 4-Hydroxylase Subunit Beta (P4HB) in Cancer: New Roads to Travel.

Feng D, Wang J, Li D, Wu R, Tuo Z, Yu Q Aging Dis. 2023; 15(6):2369-2380.

PMID: 38029391 PMC: 11567247. DOI: 10.14336/AD.2023.1126.


Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers.

Demir Karaman E, Isik Z Med Sci (Basel). 2023; 11(3).

PMID: 37489460 PMC: 10366886. DOI: 10.3390/medsci11030044.


Tanshinone IIA suppresses the progression of lung adenocarcinoma through regulating CCNA2-CDK2 complex and AURKA/PLK1 pathway.

Li Z, Zhang Y, Zhou Y, Wang F, Yin C, Ding L Sci Rep. 2021; 11(1):23681.

PMID: 34880385 PMC: 8654884. DOI: 10.1038/s41598-021-03166-2.


Assessment of Significant Pathway Signaling and Prognostic Value of GNG11 in Ovarian Serous Cystadenocarcinoma.

Jiang M, Zhao F, Lou T Int J Gen Med. 2021; 14:2329-2341.

PMID: 34113163 PMC: 8185253. DOI: 10.2147/IJGM.S314911.


Subtype-dependent regulation of Gβγ signalling.

Tennakoon M, Senarath K, Kankanamge D, Ratnayake K, Wijayaratna D, Olupothage K Cell Signal. 2021; 82:109947.

PMID: 33582184 PMC: 8026654. DOI: 10.1016/j.cellsig.2021.109947.

References
1.
Selvaraj G, Kaliamurthi S, Kaushik A, Khan A, Wei Y, Cho W . Identification of target gene and prognostic evaluation for lung adenocarcinoma using gene expression meta-analysis, network analysis and neural network algorithms. J Biomed Inform. 2018; 86:120-134. DOI: 10.1016/j.jbi.2018.09.004. View

2.
Song Y, Tan J, Gao X, Wang L . Integrated analysis reveals key genes with prognostic value in lung adenocarcinoma. Cancer Manag Res. 2018; 10:6097-6108. PMC: 6252781. DOI: 10.2147/CMAR.S168636. View

3.
Wang Z, Wei Y, Zhang R, Su L, Gogarten S, Liu G . Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma. EBioMedicine. 2018; 32:93-101. PMC: 6021270. DOI: 10.1016/j.ebiom.2018.05.024. View

4.
Galligan J, Petersen D . The human protein disulfide isomerase gene family. Hum Genomics. 2012; 6:6. PMC: 3500226. DOI: 10.1186/1479-7364-6-6. View

5.
Siegel R, Miller K, Jemal A . Cancer statistics, 2019. CA Cancer J Clin. 2019; 69(1):7-34. DOI: 10.3322/caac.21551. View