2021
DOI: 10.21203/rs.3.rs-319333/v1
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Bioinformatics Analysis of C3 and CXCR4 act as Potential Prognostic Biomarkers in Clear Cell Renal Cell Carcinoma (ccRCC)

Abstract: Background: The molecular pathogenesis of ccRCC was still unknown. Hence, the ccRCC-associated genes needs to explored.Methods: Three ccRCC expression microarray datasets (GSE14762, GSE66270 and GSE53757) downloaded from gene expression omnibus (GEO) database. The distinguish of expressed genes (DEGs) between ccRCC and normal tissue was discuss and explored. the function of our DEGs was analyzed by Gene Ontology (GO) ,Kyoto Encyclopedia of Genes and Genomes (KEGG) .Then the protein‑protein interaction network … Show more

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“…With regard to assessing the prognosis in ccRCC patients, the TNM staging system is widely used in clinical procedures (Nakayama et al, 2014); however, these predictive frameworks are not always useful indicators for undertaking the prognosis in ccRCC victims (Qin et al, 2013). The progression of ccRCC in patients is monitored by analyzing those molecules that possess tumorigenic properties (Quan et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…With regard to assessing the prognosis in ccRCC patients, the TNM staging system is widely used in clinical procedures (Nakayama et al, 2014); however, these predictive frameworks are not always useful indicators for undertaking the prognosis in ccRCC victims (Qin et al, 2013). The progression of ccRCC in patients is monitored by analyzing those molecules that possess tumorigenic properties (Quan et al, 2021).…”
Section: Discussionmentioning
confidence: 99%