ArticleTranslational andrology and urology2020
Bioinformatic gene analysis for possible biomarkers and therapeutic targets of hypertension-related renal cell carcinoma.
Article in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
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- From sequencing to validation: NGS-based exploration of plasma miRNA in papillary thyroid carcinoma.Frontiers in oncology · 2024Article
- Identify BCAT1 plays an oncogenic role and promotes EMT in KIRC via single cell RNA-seq and experiment.Frontiers in oncology · 2024Article
- The role of miR-152 in urological tumors: potential biomarkers and therapeutic targets.Frontiers in immunology · 2024Review
- Identification of microRNA editing sites in clear cell renal cell carcinoma.Scientific reports · 2023Article
- Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID-19 Using Bioinformatics Approaches.BioMed research international · 2023Article
- Comprehensive Analysis ofDisease markers · 2022Article
- Identification of Hub Genes Associated With Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics Analysis.Frontiers in oncology · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundRenal cell carcinoma (RCC) is one of the most prevalent malignant tumors of the urinary system. Hypertension can cause hypertensive nephropathy (HN). Meanwhile, Hypertension is considered to be related to kidney cancer. We analyzed co-expressed genes to find out the relationship between hypertension and RCC and show possible biomarkers and novel therapeutic targets of hypertension-related RCC.
methodsWe identified the differentially expressed genes (DEGs) of HN and RCC through analyzing Gene Expression Omnibus (GEO) datasets GSE99339, GSE99325, GSE53757 and GSE15641 by means of bioinformatics analysis, respectively. Then we evaluated these genes with protein-protein interaction (PPI) networks, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and CTD database. Subsequently, we verified co-expressed DEGs with Gene Expression Profiling Interactive Analysis (GEPIA) database. Finally, corresponding predicted miRNAs of co-expressed DEGs were identified and verified via mirDIP database and Starbase, respectively.
resultsWe identified 9 co-expressed DEGs, including
conclusions
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