Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model
Joint Authors
Liu, Bin
Xiao, Yu
Li, Hao
Zhang, Ai-li
Meng, Ling-bing
Feng, Lu
Zhao, Zhi-hong
Ni, Xiao-chen
Fan, Bo
Zhang, Xiao-yu
Zhao, Shi-bin
Liu, Yi-bo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-17
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Background.
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, which represents the 9th most frequently diagnosed cancer.
However, the molecular mechanism of occurrence and development of ccRCC is indistinct.
Therefore, the research aims to identify the hub biomarkers of ccRCC using numerous bioinformatics tools and functional experiments.
Methods.
The public data was downloaded from the Gene Expression Omnibus (GEO) database, and the differently expressed genes (DEGs) between ccRCC and normal renal tissues were identified with GEO2R.
Protein-protein interaction (PPI) network of the DEGs was constructed, and hub genes were screened with cytoHubba.
Then, ten ccRCC tumor samples and ten normal kidney tissues were obtained to verify the expression of hub genes with the RT-qPCR.
Finally, the neural network model was constructed to verify the relationship among the genes.
Results.
A total of 251 DEGs and ten hub genes were identified.
AURKB, CCNA2, TPX2, and NCAPG were highly expressed in ccRCC compared with renal tissue.
With the increasing expression of AURKB, CCNA2, TPX2, and NCAPG, the pathological stage of ccRCC increased gradually (P<0.05).
Patients with high expression of AURKB, CCNA2, TPX2, and NCAPG have a poor overall survival.
After the verification of RT-qPCR, the expression of hub genes was same as the public data.
And there were strong correlations between the AURKB, CCNA2, TPX2, and NCAPG with the verification of the neural network model.
Conclusion.
After the identification and verification, AURKB, CCNA2, TPX2, and NCAPG might be related to the occurrence and malignant progression of ccRCC.
American Psychological Association (APA)
Liu, Bin& Xiao, Yu& Li, Hao& Zhang, Ai-li& Meng, Ling-bing& Feng, Lu…[et al.]. 2020. Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model. BioMed Research International،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1136364
Modern Language Association (MLA)
Liu, Bin…[et al.]. Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model. BioMed Research International No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1136364
American Medical Association (AMA)
Liu, Bin& Xiao, Yu& Li, Hao& Zhang, Ai-li& Meng, Ling-bing& Feng, Lu…[et al.]. Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1136364
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136364