ArticleFrontiers in oncology2022
A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis.
Article in Frontiers in oncology, 2022. 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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Who cites it
10 citing papers in PubMed.
- Review
- Investigating the potential causal link between BPA and ovarian carcinogenesis: a network toxicology and mendelian randomization study on the CTRC/PRDX1/SKP1 pathway.Journal of ovarian research · 2025Article
- Cell-free and extracellular vesicle microRNAs with clinical utility for solid tumors.Molecular oncology · 2025Review
- Deciphering the Role of Putative Novel miRNAs Encoded From the Newly Found Genomic Regions of T2T-CHM13 in the Progression of Collecting Duct Renal Cell Carcinoma.Cancer medicine · 2025Article
- Non-coding transcriptome profiles in clear-cell renal cell carcinoma.Nature reviews. Urology · 2025Review
- Review
- Article
- Research progress on miR-124-3p in the field of kidney disease.BMC nephrology · 2024Review
- A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma.Cancer cell international · 2024Article
- Blood-based circulating biomarkers for prediction of immune-checkpoint inhibitors efficacy in renal cell carcinoma.Exploration of targeted anti-tumor therapy · 2024Review
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Authors and funding
14 authors.
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Abstract
Background: Renal cell carcinoma (RCC) is one out of the most universal malignant tumors globally, and its incidence is increasing annually. MicroRNA (miRNA) in serum could be considered as a non-invasive detecting biomarker for RCC diagnosis. Method: A total of 224 participants (112 RCC patients (RCCs) and 112 normal controls (NCs)) were enrolled in the three-phrase study. Reverse transcription quantitative PCR (RT-qPCR) was applied to reveal the miRNA expression levels in RCCs and NCs. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were utilized to predict the diagnostic ability of serum miRNAs for RCC. Bioinformatic analysis and survival analysis were also included in our study. Results: Compared to NCs, the expression degree of miR-155-5p, miR-224-5p in serum was significantly upregulated in RCC patients, and miR-1-3p, miR-124-3p, miR-129-5p, and miR-200b-3p were downregulated. A four-miRNA panel was construed, and the AUC of the panel was 0.903 (95% CI: 0.847-0.944; p < 0.001; sensitivity = 75.61%, specificity = 93.67%). Results from GEPIA database indicated that CHL1, MPP5, and SORT1 could be seen as promising target genes of the four-miRNA panel. Survival analysis of candidate miRNAs manifested that miR-155-5p was associated with the survival rate of RCC significantly. Conclusions: The four-miRNA panel in serum has a great potential to be non-invasive biomarkers for RCC sift to check.
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