ArticleCancer management and research2020
Identification of Core Genes Involved in the Metastasis of Clear Cell Renal Cell Carcinoma.
Article in Cancer management and research, 2020. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Updates on Clinical Trials and Molecular Characteristics of Locally Advanced and Oligometastatic Renal Cell Carcinoma.International journal of molecular sciences · 2026Review
- Overexpression of cyclin F/CCNF as an independent prognostic factor for poor survival in clear cell renal cell carcinoma.Scientific reports · 2024Article
- Article
- A novel risk model of three SUMOylation genes based on RNA expression for potential prognosis and treatment sensitivity prediction in kidney cancer.Frontiers in pharmacology · 2023Article
- Article
- Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms.Frontiers in genetics · 2022Article
- Upregulation of Cyclin B2 (American journal of cancer research · 2022Article
- Role of germline variants in the metastasis of breast carcinomas.Oncotarget · 2022Article
- A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma.Frontiers in immunology · 2022Article
- Identification of UBE2I as a Novel Biomarker in ccRCC Based on a Large-Scale CRISPR-Cas9 Screening Database and Immunohistochemistry.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRenal cell carcinoma (RCC) is one of the most common malignancies globally, among which clear cell carcinoma (ccRCC) accounts for 85-90% of all pathological types. This study aims to screen out potential genes in metastatic ccRCC so as to provide novel insights for ccRCC treatment.
methodsGSE53757 and GSE84546 datasets in the Gene Expression Omnibus (GEO) were profiled to identify differentially expressed genes (DEGs) from ccRCC samples with or without metastasis. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and the gene ontology (GO) analysis were performed to analyze pathway enrichment and functional annotation of DEGs. Protein-protein interaction (PPI) network was constructed, and survival analysis was conducted to evaluate the clinical values of the identified hub genes. In vitro loss-of-function assays were performed to explore the biological roles of these genes.
resultsThe bioinformatic analysis indicated that 312 DEGs were identified, including 148 upregulated genes and 164 downregulated ones. Using PPI and Cytoscape, 10 hub genes were selected (
conclusionOur results demonstrated that metastatic ccRCC was partially attributed to the aberrant expression of
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