ArticleCancer cell international2021
GNRH1 and LTB4R might be novel immune-related prognostic biomarkers in clear cell renal cell carcinoma (ccRCC).
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- Ochratoxin A and Clear Cell Renal Cell Carcinoma: Exploring Potential Molecular Links Through Network Toxicology and Machine Learning.International journal of molecular sciences · 2026Article
- Multi-Omics Analysis IdentifiedInternational journal of molecular sciences · 2026Article
- Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins.PloS one · 2025Article
- FAP promotes clear cell renal cell carcinoma progression via activating the PI3K/AKT/mTOR signaling pathway.Cancer cell international · 2023Article
- Lipids as Targets for Renal Cell Carcinoma Therapy.International journal of molecular sciences · 2023Review
- Article
- Effects and Prognostic Values of Circadian Genes CSNK1E/GNA11/KLF9/THRAP3 in Kidney Renal Clear Cell Carcinoma via a Comprehensive Analysis.Bioengineering (Basel, Switzerland) · 2022Article
- Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma.PloS one · 2022Article
- An Aging and Senescence-Related Gene Signature for Prognosis Prediction in Clear Cell Renal Cell Carcinoma.Frontiers in genetics · 2022Article
- m7G Methylation-Related Genes as Biomarkers for Predicting Overall Survival Outcomes for Hepatocellular Carcinoma.Frontiers in bioengineering and biotechnology · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
backgroundClear cell renal cell carcinoma (ccRCC) occupied most of renal cell carcinoma (RCC), which associated with poor prognosis. The purpose of this study is to screen novel and prognostic biomarkers for patients with ccRCC. METHODS AND
resultsFirstly, Gene Expression Omnibus database was used to collect microarray data for weighted gene co-expression network construction. Gene modules related to prognosis which interest us most were picked out. 90 hub genes were further chosen in the key modules, two of which including gonadotropin releasing hormone 1 (GNRH1) and leukotriene B4 receptor (LTB4R) were screened and validated as immune-related prognostic biomarkers. Based on several public databases and ccRCC tissues collected by ourselves, we performed survival analysis, spearman correlation analysis, receiver operating characteristic (ROC) analysis, quantitative real-time PCR (qRT-PCR), western blotting, immunofluorescence (IF) and immunohistochemistry (IHC) staining for the validation of immune-related prognostic biomarkers. We further explored the relationship between immune-related prognostic biomarker expressions and immunocytes. Finally, gene set enrichment analysis (GSEA) demonstrated that the two immune-related prognostic biomarkers were significantly correlated with cell cycle.
conclusionsGenerally speaking, the present study has identified two novel prognostic biomarkers for patients with ccRCC, which showed strong correlation with prognosis of patients with ccRCC, could further be used as potential prognostic biomarkers in ccRCC.
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