Identification and validation of key genes associated with non-small-cell lung cancer.
Biomarkers, Tumor
/ genetics
Carcinoma, Non-Small-Cell Lung
/ genetics
Cell Cycle Proteins
/ genetics
Chromosomal Proteins, Non-Histone
/ genetics
Computational Biology
Databases, Genetic
Disease Progression
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Genetic Predisposition to Disease
Humans
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
/ genetics
Lung Neoplasms
/ genetics
Myosin Heavy Chains
/ genetics
Neoplasm Staging
Nuclear Proteins
/ genetics
Phenotype
Protein Interaction Maps
Racemases and Epimerases
/ genetics
Signal Transduction
/ genetics
Transcriptome
alpha-Macroglobulins
/ genetics
key genes
microarray
non-small-cell lung cancer
Journal
Journal of cellular physiology
ISSN: 1097-4652
Titre abrégé: J Cell Physiol
Pays: United States
ID NLM: 0050222
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
received:
05
02
2019
revised:
30
04
2019
accepted:
01
05
2019
pubmed:
28
5
2019
medline:
17
6
2020
entrez:
26
5
2019
Statut:
ppublish
Résumé
Non-small-cell lung cancer (NSCLC) is one of the main causes of death induced by cancer globally. However, the molecular aberrations in NSCLC patients remain unclearly. In the present study, four messenger RNA microarray datasets (GSE18842, GSE40275, GSE43458, and GSE102287) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between NSCLC tissues and adjacent lung tissues were obtained from GEO2R and the overlapping DEGs were identified. Moreover, functional and pathway enrichment were performed by Funrich, while the protein-protein interaction (PPI) network construction were obtained from STRING and hub genes were visualized and identified by Cytoscape software. Furthermore, validation, overall survival (OS) and tumor staging analysis of selected hub genes were performed by GEPIA. A total of 367 DEGs (95 upregulated and 272 downregulated) were obtained through gene integration analysis. The PPI network consisted of 94 nodes and 1036 edges in the upregulated DEGs and 272 nodes and 464 edges in the downregulated DEGs, respectively. The PPI network identified 46 upregulated and 27 downregulated hub genes among the DEGs, and six (such as CENPE, NCAPH, MYH11, LRRK2, HSD17B6, and A2M) of that have not been identified to be associated with NSCLC so far. Moreover, the expression differences of the mentioned hub genes were consistent with that in lung adenocarcinoma and lung squamous cell carcinoma in the TCGA database. Further analysis showed that all the six hub genes were associated with tumor staging except MYH11, while only the upregulated DEG CENPE was associated with the worse OS of patients with NSCLC. In conclusion, the current study showed that CENPE, NCAPH, MYH11, LRRK2, HSD17B6, and A2M might be the key genes contributed to tumorigenesis or tumor progression in NSCLC, further functional study is needed to explore the involved mechanisms.
Substances chimiques
A2M protein, human
0
Biomarkers, Tumor
0
Cell Cycle Proteins
0
Chromosomal Proteins, Non-Histone
0
MYH11 protein, human
0
NCAPH protein, human
0
Nuclear Proteins
0
alpha-Macroglobulins
0
centromere protein E
0
LRRK2 protein, human
EC 2.7.11.1
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
EC 2.7.11.1
Myosin Heavy Chains
EC 3.6.4.1
HSD17B6 protein, human
EC 5.1.-
Racemases and Epimerases
EC 5.1.-
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
22742-22752Informations de copyright
© 2019 Wiley Periodicals, Inc.