Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art
- PMID: 33886004
- PMCID: PMC8062344
- DOI: 10.1007/s11934-021-01050-0
Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art
Abstract
Purpose of review: We aim to summarize the current state of art about the possible use of biomarkers for predicting renal cell carcinoma (RCC) recurrence after curative treatment. In addition, we aim to provide a snapshot about the clinical implication of biomarkers use for follow-up planification.
Recent findings: A wide variety of biomarkers have been proposed. RCC biomarkers have been individuated in tumoral tissue, blood, and urine. A variety of molecules, including proteins, DNA, and RNA, warrant a good accuracy for RCC recurrence and progression prediction. Their use in prediction models might warrant a better patients' risk stratification. Future prognostic models will probably include a combination of classical features (tumor grade, stage, etc.) and novel biomarkers. Such models might allow a more accurate treatment and follow-up planification.
Keywords: Biomarkers; Liquid biopsy; Renal cell carcinoma; miRNA.
Conflict of interest statement
The authors declare no competing interests.
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