ArticleCancer biomarkers : section A of Disease markers2018
Key miRNAs and target genes played roles in the development of clear cell renal cell carcinoma.
Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics.Discover oncology · 2025Article
- Circ_0061140 Potentiates Clear Cell Renal Cell Carcinoma Progression Via the MicroRNA-126-5p/ADAM9 Axis.Molecular biotechnology · 2024Article
- Evaluation of Plasma Extracellular Vesicle MicroRNA Signatures for Lung Adenocarcinoma and Granuloma With Monte-Carlo Feature Selection Method.Frontiers in genetics · 2019Article
- miR-501 promotes hemangioma progression by targetingAmerican journal of translational research · 2019Article
- Molecular Mechanisms in Clear Cell Renal Cell Carcinoma: Role of miRNAs and Hypermethylated miRNA Genes in Crucial Oncogenic Pathways and Processes.Frontiers in genetics · 2019Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClear cell renal cell carcinoma (CCRCC) is the most aggressive form of renal cell carcinoma (RCC).
objectiveThis study was aimed to identify the differentially expressed miRNAs and target genes in CCRCC.
methodsThe miRNA and mRNA next-generation sequencing data were downloaded from The Cancer Genome Atlas (TCGA) dataset. Differential expression analysis was performed, followed by correlation analysis of miRNA-mRNA. Functional enrichment and survival analysis was also performed.
resultsSeven hundred and eighty-seven patients with CCRCC from TCGA data portal were included in this study. A total of 52 differentially expressed miRNAs were identified in CCRCC. Then 2361 differentially expressed genes (DEGs) were identified. Prediction analysis and correlation analysis revealed that 89 miRNA-mRNA pairs were not only predicted by algorithms but also had a significant inverse relationship. Several differentially expressed miRNAs such as hsa-mir-501 and their target genes including AK1, SLC25A15 and PCDHGC3 had a significant prognostic value for CCRCC patients.
conclusionsAlterations of differentially expressed miRNAs and target genes may be involved in the development of CCRCC and can be considered as the prognostic markers for CCRCC.
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