Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art

被引:25
|
作者
Marchioni, Michele [1 ,2 ]
Rivas, Juan Gomez [3 ]
Autran, Anamaria [4 ]
Socarras, Moises [5 ]
Albisinni, Simone [6 ]
Ferro, Matteo [7 ]
Schips, Luigi [1 ]
Scarpa, Roberto Mario [8 ]
Papalia, Rocco [8 ]
Esperto, Francesco [8 ]
机构
[1] Univ G dAnnunzio, SS Annunziata Hosp, Dept Med Oral & Biotechnol Sci, Unit Urol, Chieti, Italy
[2] Univ G dAnnunzio, Dept Med Oral & Biotechnol Sci, Via Vestini,Campus Univ, I-66100 Chieti, Italy
[3] Hosp Clin San Carlos, Madrid, Spain
[4] Fdn Jimemez Diaz, Dept Urol, Madrid, Spain
[5] Inst Cirugia Urol Avanzada ICUA, Madrid, Spain
[6] Univ Libre Bruxelles, Erasme Hosp, Urol Dept, Brussels, Belgium
[7] IRCCS, European Inst Oncol IEO, Dept Urol, Milan, Italy
[8] Campus Bio Med Univ, Dept Urol, Rome, Italy
关键词
Renal cell carcinoma; miRNA; Biomarkers; Liquid biopsy; CANCER-SPECIFIC MORTALITY; CIRCULATING TUMOR-CELLS; PROGNOSIS; SURVIVAL; STAGE; TOOL;
D O I
10.1007/s11934-021-01050-0
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:7
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