Cancers · 2022 · 25 citations · 58 references
MedicineMolecular MedicineOncologyMolecular DiagnosticsMolecular OncologyTranslational OncologyBiomarkers In Genitourinary CancerBiomarkers In Urologic OncologyCancer BiomarkersEarly Cancer DetectionKidney CancerRenal Cell CarcinomaBiomarker-based Early DetectionBiomarkersCirculating Microrna DetectionCirculating MicrornasHigh-sensitivity AssaysKidney Cancer DiagnosisMicrorna In CancerRenal Cell Carcinoma Biomarkers
BACKGROUND: Decreased renal cell cancer-related mortality is an important societal goal, embodied by efforts to develop effective biomarkers enabling early detection and increasing the likelihood of curative treatment. Herein, we sought to develop a new biomarker for early and minimally invasive detection of renal cell carcinoma (RCC) based on a microRNA panel assessed by ddPCR. METHODS: = 15), and 64 healthy donors, were selected. Hsa-miR-21-5p, hsa-miR-126-3p, hsa-miR-155-5p and hsa-miR-200b-3p levels were evaluated using a ddPCR protocol. RESULTS: RCC patients disclosed significantly higher circulating levels of hsa-miR-155-5p compared to healthy donors, whereas the opposite was observed for hsa-miR-21-5p levels. Furthermore, hsa-miR-21-5p and hsa-miR-155-5p panels detected RCC with high sensitivity (82.66%) and accuracy (71.89%). The hsa-miR-126-3p/hsa-miR-200b-3p panel identified the most common RCC subtype (clear cell, ccRCC) with 74.78% sensitivity. CONCLUSION: Variable combinations of plasma miR levels assessed by ddPCR enable accurate detection of RCC in general, and of ccRCC. These findings, if confirmed in larger studies, provide evidence for a novel ancillary tool which might aid in early detection of RCC.
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C. Ricketts, Aguirre A. de Cubas, Huihui Fan et al. · Cell Reports · 2018 · 805 citations · Full text