4.7 Article

Functional Assessment of Four Novel Immune-Related Biomarkers in the Pathogenesis of Clear Cell Renal Cell Carcinoma

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2021.621618

Keywords

clear cell renal cell carcinoma; immune-related biomarkers; diagnosis and prognosis; robust rank aggregation; weighted gene co-expression network analysis; tumor microenvironment

Funding

  1. National Natural Science Foundation of China [81600542]
  2. Natural Science Foundation of Guangdong Province [2020A1515010464]
  3. Guangdong Basic and Applied Basic Research Foundation [2019A1515110033]
  4. Distinguished Young Talents in Higher Education Foundation of Guangdong Province [2019KQNCX115, 2020KZDZX1168]
  5. China Postdoctoral Science Foundation [2019M662865]
  6. Achievement cultivation and clinical transformation application cultivation projects of the First Affiliated Hospital of Guangzhou Medical University [ZH201908]

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This study identified immune-related biomarkers IF116, LMNB1, RHBDF2, and TACC3 in ccRCC using bioinformatics analysis, showing their upregulation in the disease and association with tumor stage and grade. These hub genes had great diagnostic and prognostic values for ccRCC, involved in immune signaling pathways, and linked to tumor immune infiltration and checkpoint expressions. The findings were validated by quantitative PCR and immunohistochemical staining.
Background Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma whose pathogenesis is not well understood. We aimed at identifying novel immune-related biomarkers that could be valuable in the diagnosis and prognosis of ccRCC. Methods The Robust Rank Aggregation (RRA) method was used to integrate differently expressed genes (DEGs) of 7 Gene Expression Omnibus (GEO) datasets and obtain robust DEGs. Weighted gene co-expression network analyses (WGCNA) were performed to identify hub genes associated with clinical traits in The Cancer Genome Atlas (TCGA) database. Comprehensive bioinformatic analyses were used to explore the role of hub genes in ccRCC. Results Four hub genes IFI16, LMNB1, RHBDF2 and TACC3 were screened by the RRA method and WGCNA. These genes were found to be up-regulated in ccRCC, an upregulation that could be due to their associations with late TNM stages and tumor grades. The Receiver Operating Characteristic (ROC) curve and Kaplan-Meier survival analysis showed that the four hub genes had great diagnostic and prognostic values for ccRCC, while Gene Set Enrichment Analysis (GSEA) showed that they were involved in immune signaling pathways. They were also found to be closely associated with multiple tumor-infiltrating lymphocytes and critical immune checkpoint expressions. The results of Quantitative Real-time PCR (qRT-PCR) and immunohistochemical staining (IHC) analysis were consistent with bioinformatics analysis results. Conclusion The four hub genes were shown to have great diagnostic and prognostic values and played key roles in the tumor microenvironment of ccRCC.

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