Journal Basic Info

  • Impact Factor: 2.709**
  • H-Index: 11 
  • ISSN: 2474-1663
  • DOI: 10.25107/2474-1663
**Impact Factor calculated based on Google Scholar Citations. Please contact us for any more details.

Major Scope

  •  Immunology
  •  Urological Cancers
  •  Paediatric Cancers
  •  Radiological Techniques and Scans
  •  Blood Cancer
  •  Immunotherapy
  •  Carcinomas
  •  Sarcomas

Abstract

Citation: Clin Oncol. 2023;8(1):2004.DOI: 10.25107/2474-1663.2004

Bioinformatics-Based Identification of CCNB2 as a Key Gene in the Progression of Chromophobe Cell Carcinoma of Kidney

Xie Y, Li J, Yuan Y, Zhang Y and Zhang R

Department of Urology, The Second Affiliated Hospital, Chongqing Medical University, China

*Correspondance to: Yuanfeng Zhang 

 PDF  Full Text Research Article | Open Access

Abstract:

Background: The present work aimed to screen biomarkers associated with Chromophobe cell carcinoma of kidney (Chrcc) by bioinformatics methods as key genes. Methods: The GSE15641 data set was acquired from Gene Expression Omnibus (GEO) database, Differentially Expressed Genes (DEGs) were identified. Moreover, the Protein-Protein Interaction (PPI) networks were constructed and visualized using Cytoscape; we identified the significant core gene according to Kaplan-Meier (K-M) survival analysis. Their expression levels were verified in patients from The Cancer Genome Atlas (TCGA) database, and the relationships with clinical features and immune infiltration were analyzed. Finally, Gene Set Enrichment Analysis (GSEA) enrichment analysis was completed to detect significantly differential pathways. Results: Totally 1153DEGs were identified, thereafter; the four overlapping hub genes (KRAS, EGFR, EHHADH, CCNB2) were obtained by four algorithms, with CCNB2 identified as the only significant core gene according to Kaplan-Meier survival analysis. The high CCNB2 expression in cancer was associated with adverse clinicopathological factors and had markedly poor Overall Survival (OS). Meanwhile, immune infiltration analysis demonstrated a positive correlation between CCNB2 expression and Th2 cells enrichment levels in Chrcc, and a negative correlation with Cytotoxic and DC cells. At last, there was a significant difference in the liver cancer subclass and breast cancer grade by GSEA. Conclusion: In the current work, CCNB2 can be considered as a predictive molecular marker and a potential therapeutic target for Chrcc.

Keywords:

Chrcc; Bioinformatics analysis; CCNB2; GSE15641

Cite the Article:

Xie Y, Li J, Yuan Y, Zhang Y, Zhang R. Bioinformatics-Based Identification of CCNB2 as a Key Gene in the Progression of Chromophobe Cell Carcinoma of Kidney. Clin Oncol. 2023;8:2004..

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