Identification of a Prognostic Risk Signature of Kidney Renal Clear Cell Carcinoma Based on Regulating the Immune Response Pathway Exploration
Joint Authors
Li, Jiayi
Wu, Guangzhen
Xu, Yingkun
Han, Chenglin
Wang, Zilong
Wang, Qifei
Che, Xiangyu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Purpose.
To construct a survival model for predicting the prognosis of patients with kidney renal clear cell carcinoma (KIRC) based on gene expression related to immune response regulation.
Materials and Methods.
KIRC mRNA sequencing data and patient clinical data were downloaded from the TCGA database.
The pathways and genes involved in the regulation of the immune response were identified from the GSEA database.
A single factor Cox analysis was used to determine the association of mRNA in relation to patient prognosis P<0.05.
The prognostic risk model was further established using the LASSO regression curve.
The survival prognosis model was constructed, and the sensitivity and specificity of the model were evaluated using the ROC curve.
Results.
Compared with normal kidney tissues, there were 28 dysregulated mRNA expressions in KIRC tissues P<0.05.
Univariate Cox regression analysis revealed that 12 mRNAs were related to the prognosis of patients with renal cell carcinoma.
The LASSO regression curve drew a risk signature consisting of six genes: TRAF6, FYN, IKBKG, LAT2, C2, IL4, EREG, TRAF2, and IL12A.
The five-year ROC area analysis (AUC) showed that the model has good sensitivity and specificity (AUC >0.712).
Conclusion.
We constructed a risk prediction model based on the regulated immune response-related genes, which can effectively predict the survival of patients with KIRC.
American Psychological Association (APA)
Wu, Guangzhen& Xu, Yingkun& Han, Chenglin& Wang, Zilong& Li, Jiayi& Wang, Qifei…[et al.]. 2020. Identification of a Prognostic Risk Signature of Kidney Renal Clear Cell Carcinoma Based on Regulating the Immune Response Pathway Exploration. Journal of Oncology،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1189043
Modern Language Association (MLA)
Wu, Guangzhen…[et al.]. Identification of a Prognostic Risk Signature of Kidney Renal Clear Cell Carcinoma Based on Regulating the Immune Response Pathway Exploration. Journal of Oncology No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1189043
American Medical Association (AMA)
Wu, Guangzhen& Xu, Yingkun& Han, Chenglin& Wang, Zilong& Li, Jiayi& Wang, Qifei…[et al.]. Identification of a Prognostic Risk Signature of Kidney Renal Clear Cell Carcinoma Based on Regulating the Immune Response Pathway Exploration. Journal of Oncology. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1189043
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189043