Introduction: Renal Cell Carcinoma (RCC) is a heterogeneous disease, with distinct clinical outcomes for each subtype. Even within subtypes, outcomes differ and there is a need for novel biomarkers enabling risk stratification or predicting response to targeted therapies.
Areas covered: Epigenetic alterations, particularly aberrant DNA methylation and microRNAs deregulation, are a biomarker source that might be evaluated in liquid biopsies. Moreover, despite the ground knowledge that RCC comprises different histological entities, most studies still focus on 'RCC' in general and do not consider different subtypes. The most promising microRNAs for ccRCC identification are miR-210-3p, miR-21-3p, and miR-155-5p, which might help accurately subtype RCC, being closer to clinical routine but still lacking validation. Besides, miR-146-a and miR-126-a are promising biomarkers to predict response to immune checkpoint inhibitors.
Expert opinion: Substantial developments in molecular diagnostics have been recently made, namely regarding liquid biopsies, despite the lack of biomarkers approved for clinical routine. The inclusion of dedicated Pathologists in biomarker studies remains crucial to truly achieving clinical relevance. Furthermore, combination of artificial intelligence with molecular biomarkers may foster personalized RCC management, with improved precision.
Keywords: Artificial intelligence; Biomarkers; clear cell tumors; histopathology; kidney cancer; liquid biopsies; microRNAs.