Open Access

A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma

Corrigendum in: /10.3892/ijmm.2019.4138

  • Authors:
    • Yonggang Wang
    • Yao Wang
    • Feng Liu
  • View Affiliations

  • Published online on: September 26, 2018     https://doi.org/10.3892/ijmm.2018.3899
  • Pages: 3105-3114
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Clear cell renal cell carcinoma (ccRCC) is the most frequent type of renal cell carcinoma (RCC). The present study aimed to examine prognostic markers and construct a prognostic prediction system for ccRCC. The mRNA sequencing data of ccRCC was downloaded from The Cancer Genome Atlas (TCGA) database, and the GSE40435 dataset was obtained from the Gene Expression Omnibus database. Using the Limma package, the differentially expressed genes (DEGs) in the TCGA dataset and GSE40435 dataset were obtained, respectively, and the overlapped DEGs were selected. Subsequently, Cox regression analysis was applied for screening prognosis‑associated genes. Following visualization of the co‑expression network using Cytoscape software, the network modules were examined using the GraphWeb tool. Functional annotation for genes in the network was performed using the clusterProfiler package. Finally, a prognostic prediction system was constructed through Bayes discriminant analysis and confirmed with the GSE29609 validation dataset. The results revealed a total of 263 overlapped DEGs and 161 prognosis‑associated genes. Following construction of the co‑expression network, 16 functional terms and three pathways were obtained for genes in the network. In addition, red, yellow (involving chemokine ligand 10 (CXCL10), CD27 molecule (CD27) and runt‑related transcription factor 3 (RUNX3)], green (involving angiopoietin‑like 4 (ANGPTL4), stanniocalcin 2 (STC2), and sperm associated antigen 4 (SPAG4)], and cyan modules were extracted from the co‑expression network. Additionally, the prognostic prediction system involving 44 signature genes, including ANGPTL4, STC2, CXCL10, SPAG4, CD27, matrix metalloproteinase (MMP9) and RUNX3, was identified and confirmed. In conclusion, the 44‑gene prognostic prediction system involving ANGPTL4, STC2, CXCL10, SPAG4, CD27, MMP9 and RUNX3 may be utilized for predicting the prognosis of patients with ccRCC.
View Figures
View References

Related Articles

Journal Cover

December-2018
Volume 42 Issue 6

Print ISSN: 1107-3756
Online ISSN:1791-244X

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wang Y, Wang Y and Liu F: A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma Corrigendum in /10.3892/ijmm.2019.4138. Int J Mol Med 42: 3105-3114, 2018
APA
Wang, Y., Wang, Y., & Liu, F. (2018). A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma Corrigendum in /10.3892/ijmm.2019.4138. International Journal of Molecular Medicine, 42, 3105-3114. https://doi.org/10.3892/ijmm.2018.3899
MLA
Wang, Y., Wang, Y., Liu, F."A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma Corrigendum in /10.3892/ijmm.2019.4138". International Journal of Molecular Medicine 42.6 (2018): 3105-3114.
Chicago
Wang, Y., Wang, Y., Liu, F."A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma Corrigendum in /10.3892/ijmm.2019.4138". International Journal of Molecular Medicine 42, no. 6 (2018): 3105-3114. https://doi.org/10.3892/ijmm.2018.3899