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Tytuł pozycji:

Identification of potential biomarkers and candidate small molecule drugs in glioblastoma

Tytuł:
Identification of potential biomarkers and candidate small molecule drugs in glioblastoma
Autorzy:
Wei-cheng Lu
Hui Xie
Ce Yuan
Jin-jiang Li
Zhao-yang Li
An-hua Wu
Temat:
Glioblastoma
Differentially expressed genes
Hub genes
Prognosis
Small molecular drugs
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Cytology
QH573-671
Źródło:
Cancer Cell International, Vol 20, Iss 1, Pp 1-14 (2020)
Wydawca:
BMC, 2020.
Rok publikacji:
2020
Kolekcja:
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
LCC:Cytology
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
1475-2867
Relacje:
http://link.springer.com/article/10.1186/s12935-020-01515-1; https://doaj.org/toc/1475-2867
DOI:
10.1186/s12935-020-01515-1
Dostęp URL:
https://doaj.org/article/926693042db2423085907e59f62e855b  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.926693042db2423085907e59f62e855b
Czasopismo naukowe
Abstract Background and aims Glioblastoma (GBM) is a common and aggressive primary brain tumor, and the prognosis for GBM patients remains poor. This study aimed to identify the key genes associated with the development of GBM and provide new diagnostic and therapies for GBM. Methods Three microarray datasets (GSE111260, GSE103227, and GSE104267) were selected from Gene Expression Omnibus (GEO) database for integrated analysis. The differential expressed genes (DEGs) between GBM and normal tissues were identified. Then, prognosis-related DEGs were screened by survival analysis, followed by functional enrichment analysis. The protein–protein interaction (PPI) network was constructed to explore the hub genes associated with GBM. The mRNA and protein expression levels of hub genes were respectively validated in silico using The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) databases. Subsequently, the small molecule drugs of GBM were predicted by using Connectivity Map (CMAP) database. Results A total of 78 prognosis-related DEGs were identified, of which10 hub genes with higher degree were obtained by PPI analysis. The mRNA expression and protein expression levels of CETN2, MKI67, ARL13B, and SETDB1 were overexpressed in GBM tissues, while the expression levels of CALN1, ELAVL3, ADCY3, SYN2, SLC12A5, and SOD1 were down-regulated in GBM tissues. Additionally, these genes were significantly associated with the prognosis of GBM. We eventually predicted the 10 most vital small molecule drugs, which potentially imitate or reverse GBM carcinogenic status. Cycloserine and 11-deoxy-16,16-dimethylprostaglandin E2 might be considered as potential therapeutic drugs of GBM. Conclusions Our study provided 10 key genes for diagnosis, prognosis, and therapy for GBM. These findings might contribute to a better comprehension of molecular mechanisms of GBM development, and provide new perspective for further GBM research. However, specific regulatory mechanism of these genes needed further elaboration.
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