Screening, identification and validation of CCND1 and PECAM1/CD31 for predicting prognosis in renal cell carcinoma patients

Abstract

Clear cell renal cell carcinoma (ccRCC) is one of the most common cancers worldwide. Despite intense efforts to elucidate its pathogenesis, the molecular mechanisms and genetic characteristics of this cancer remain unknown. In this study, three expression profile data sets (GSE15641, GSE16441 and GSE66270) were integrated to identify candidate genes that could elucidate functional pathways in ccRCC. Expression data from 63 ccRCC tumors and 54 normal samples were pooled and analyzed. The GSE profiles shared 379 differentially expressed genes (DEGs), including 249 upregulated genes, and 130 downregulated genes. A protein-protein interaction network (PPI) was constructed and analyzed using STRING and Cytoscape. Functional and signaling pathways of the shared DEGs with significant p values were identified. Kaplan-Meier plots of integrated expression scores were used to analyze survival outcomes. These suggested that FN1, ICAM1, CXCR4, TYROBP, EGF, CAV1, CCND1 and PECAM1/CD31 were independent prognostic factors in ccRCC. Finally, to investigate early events in renal cancer, we screened for the hub genes CCND1 and PECAM1/CD31. In summary, integrated bioinformatics analysis identified candidate DEGs and pathways in ccRCC that could improve our understanding of the causes and underlying molecular events of ccRCC. These candidate genes and pathways could be therapeutic targets for ccRCC. www.aging-us.com 12060 AGING Table 1. GO and KEGG pathway enrichment analysis of DEGs in ccRCC samples.

Impact of inflammation and immunotherapy in renal cell carcinoma (Review)

“…For instance, TNF-α is an independent prognostic indicator, and normal levels in plasma can highly predict the good prognosis of untreated RCC patients ( 88 , 145 ). In addition, CXCR4 has significant prognostic value in univariate analysis, and its low expression indicates a good prognosis ( 146 ). The high expression of CCR3 in immunohistochemical analysis is associated with the degree of malignancy of the tumor.…”

Bioinformatics Analysis to Screen and Identify Key Biomarkers of Papillary Renal Cell Carcinoma

“…[10] Study has shown that in patients with ccRCC, the expression of PECAM1 is increased, which is associated with mild clinicopathological parameters, and it is significantly increased only in the early stage of the disease. [11] However, our analysis showed that PECAM1 expression was down-regulated in stage 1 patients with PRCC type I. Therefore, PECAM1 may be an early diagnostic indicator to distinguish ccRCC from PRCC.…”

Identification of hub driving genes and regulators of lung adenocarcinoma based on the gene Co-expression network

“…Among the host genes in our study, some had previously been identified by cancer-related institutes. For instance, PECAM1 was suggested as an independent prognostic factor in clear cell renal cell carcinoma [42]. Meanwhile, the method of studying circRNAs' host gene had been used by many studies.…”