PLoS ONE (Jan 2022)

Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma.

  • Ziwen Pan,
  • Sheng Chang,
  • Song Chen,
  • Daqiang Zhao,
  • Zhiyu Zou,
  • Linrui Dai,
  • Yibo Hou,
  • Qianqian Zhang,
  • Yuanyuan Yang,
  • Zhishui Chen,
  • Weijie Zhang,
  • Yuanyuan Zhao

DOI
https://doi.org/10.1371/journal.pone.0272542
Journal volume & issue
Vol. 17, no. 11
p. e0272542

Abstract

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Clear cell renal cell carcinoma (ccRCC) is an immunogenic tumor, and investigating the immunorelated genes is essential. To investigate the immunoprognostic genes of ccRCC, we analyzed the data assimilated from a public database (The Cancer Genome Atlas (TCGA) database and the gene expression omnibus (GEO) database) using bioinformatics. Then, an immunoprognosis model was constructed to identify four hub genes with moderate predictive values for the prognosis of ccRCC patients. These four genes were associated with the prognosis of ccRCC patients based on Oncomine and Gena Expression Profiling Interactive Analysis (GEPIA) databases. The correlation analysis between the immune infiltrate, immune checkpoints, and immunotherapy and this immunoprognosis model showed that immune infiltration could predict the immunotherapy effects. We also conducted a quantitative real-time polymerase chain reaction analysis and found that the expressions of three hub genes were associated with tumor progression (P<0.1). In conclusion, four genes that may serve as potential biomarkers in ccRCC were identified with respect to prognosis.