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Zhang S, Xu X, Wang Y, et al. Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics. Ann Clin Lab Sci. 2021;51(5):597-608
Zhang, S., Xu, X., Wang, Y., Zhu, Y., Wang, J., Wang, H., & Guo, J. (2021). Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics. Annals of clinical and laboratory science, 51(5), 597-608.
Zhang, Sihong, et al. "Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics." Annals of clinical and laboratory science vol. 51,5 (2021): 597-608.
Zhang S, Xu X, Wang Y, Zhu Y, Wang J, Wang H, Guo J. Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics. Ann Clin Lab Sci. 2021 Sep;51(5):597-608. PMID: 34686501.
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Ann Clin Lab Sci. 2021 Sep;51(5):597-608.

Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics.

Annals of clinical and laboratory science

Sihong Zhang, Xianglai Xu, Yelin Wang, Yanjun Zhu, Jiajun Wang, Hang Wang, Jianming Guo

Affiliations

  1. Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
  2. Department of Anesthesiology, Huashan Hospital of Fudan University, Shanghai, China.
  3. Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China [email protected] [email protected] [email protected].

PMID: 34686501

Abstract

OBJECTIVE: Clear cell renal cell carcinoma (ccRCC) is the most common histological type of renal malignancies. Our aim was to find the prognostic crux of ccRCC.

METHODS: The data for ccRCC was acquired from The Cancer Genome Atlas (TCGA) and the International Genome Consortium (ICGC) database. Weighted gene co-expression network analysis (WGCNA), differentially expressed genes (DEGs), and univariate Cox analysis were applied to classify the gene groups. A Venn diagram was used to find the intersection of the gene groups. The prognostic efficiency was proved by Kaplan-Meier analysis. Heatmap and volcano plots were utilized for differential analysis. The risk score (RS) was calculated based on the multivariate Cox analysis.

RESULTS: The ccRCC samples were analyzed respectively via WGCNA, DEGs, and univariate Cox analysis based on five-year overall survival (OS) and intersected at two genes, ADGRF5 and EFNB2. The expressions of ADGRF5 and EFNB2 were negatively correlated with the OS and disease-specific survival (DSS) of the TCGA dataset, which was proved by Kaplan-Meier analysis (

CONCLUSIONS: We constructed RS as a convincing prognostic index for ccRCC patients and found potential scientific target pathways.

© 2021 by the Association of Clinical Scientists, Inc.

Keywords: clear cell renal cell carcinoma; immune cell infiltration; immunologic features; prognostic biomarker; transcriptome

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