Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis - 18/09/19
, Hailong Ruan a , Zhengshuai Song a , Qi Cao a , Keshan Wang a , Lin Bao a , Di Liu a , Junwei Tong a , Hongmei Yang b , Ke Chen a, ⁎ , Xiaoping Zhang a, ⁎ Bienvenue sur EM-consulte, la référence des professionnels de santé.
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| pages | 10 |
| Iconographies | 11 |
| Vidéos | 0 |
| Autres | 0 |
Graphical abstract |
Highlights |
• | The PPI network and WGCNA identified 9 hub genes significantly related to ccRCC. |
• | CXCL13 may serve as a candidate diagnostic and prognostic biomarker in ccRCC. |
• | The expression of CXCL13 was elevated in ccRCC cells and tissues. |
• | GSEA showed that the potential mechanisms of CXCL13 were obviously associated with RB and MEL18 pathways. |
Abstract |
Background |
Clear cell renal cell carcinoma (ccRCC) is one of the most common malignancies in urinary system. However, there are still no reliable biomarkers for the diagnosis and prognosis of ccRCC. In this study, we aimed to screen candidate biomarkers and potential therapeutic targets for ccRCC.
Methods |
Differentially expressed genes (DEGs) were screened using NetworkAnalyst. Protein-protein interaction (PPI) network and weighted gene co-expression network analysis (WGCNA) were utilized to identify hub genes. Then, we assessed the prognostic and diagnostic values of hub genes to screen candidate biomarkers. Gene Set Enrichment Analysis (GSEA) was applied to reveal potential mechanisms of candidate biomarkers in ccRCC. Oncomine database and The Human Protein Atlas were used to verify the expression of candidate biomarkers online. In addition, qRT-PCR, Enzyme linked immunosorbent assay (ELISA) and Immunohistochemistry (IHC) assays were performed to validate the expression level of candidate biomarkers in ccRCC cells and tissues.
Results |
A total of 771 genes were identified as DEGs. GO function analysis showed that DEGs were mostly enriched in excretion, apical part of cell and monovalent inorganic cation transmembrane transporter activity. KEGG pathway analysis demonstrated that DEGs were mostly involved in Neuroactive ligand-receptor interaction. After utilizing PPI network and WGCNA, nine genes (IFNG, CXCR3, PMCH, CD2, FASLG, CXCL13, CD8A, CD3D and GZMA) were identified as the hub genes. Moreover, survival analysis exhibited that high expression of CXCL13 predicted poor survival in both overall survival (OS) and disease free survival (DFS). The ROC curves indicated that CXCL13 could distinguish ccRCC samples from normal kidney samples. High expression of CXCL13 group was mostly associated with RB and MEL18 pathways by GSEA. Furthermore, qRT-PCR, ELISA and IHC results showed that the expression of CXCL13 was elevated in ccRCC.
Conclusions |
Our study illustrated that CXCL13 had good diagnostic and prognostic value, which may become a candidate biomarker and therapeutic target for ccRCC.
Le texte complet de cet article est disponible en PDF.Keywords : Clear cell renal cell carcinoma, CXCL13, Biomarker, Weighted gene co-expression network analysis
Plan
Vol 118
Article 109264- octobre 2019 Retour au numéro
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