In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 11 ( 2022-11-23), p. e0272542-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0272542
DOI:
10.1371/journal.pone.0272542.g001
DOI:
10.1371/journal.pone.0272542.g002
DOI:
10.1371/journal.pone.0272542.g003
DOI:
10.1371/journal.pone.0272542.g004
DOI:
10.1371/journal.pone.0272542.g005
DOI:
10.1371/journal.pone.0272542.g006
DOI:
10.1371/journal.pone.0272542.g007
DOI:
10.1371/journal.pone.0272542.g008
DOI:
10.1371/journal.pone.0272542.t001
DOI:
10.1371/journal.pone.0272542.t002
DOI:
10.1371/journal.pone.0272542.t003
DOI:
10.1371/journal.pone.0272542.s001
DOI:
10.1371/journal.pone.0272542.s002
DOI:
10.1371/journal.pone.0272542.s003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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