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. Summary: 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.
Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art / M. Marchioni, J.G. Rivas, A. Autran, M. Socarras, S. Albisinni, M. Ferro, L. Schips, R.M. Scarpa, R. Papalia, F. Esperto. - In: CURRENT UROLOGY REPORTS. - ISSN 1527-2737. - 22:6(2021), pp. 31.1-31.7. [10.1007/s11934-021-01050-0]
Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art
M. Ferro;
2021
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. Summary: 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.File | Dimensione | Formato | |
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