TY - JOUR
T1 - Novel Liquid Biomarkers and Innovative Imaging for Kidney Cancer Diagnosis
T2 - What Can Be Implemented in Our Practice Today? A Systematic Review of the Literature
AU - Campi, Riccardo
AU - Stewart, Grant D.
AU - Staehler, Michael
AU - Dabestani, Saeed
AU - Kuczyk, Markus A.
AU - Shuch, Brian M.
AU - Finelli, Antonio
AU - Bex, Axel
AU - Ljungberg, Börje
AU - Capitanio, Umberto
N1 - Publisher Copyright:
Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - CONTEXT: The epidemiological signature of renal cell carcinoma (RCC) during the past decades is explained by overdetection and overtreatment of indolent cancers; furthermore, a non-negligible proportion of patients undergoing surgery for suspected RCC harbour benign renal tumours. As the gold standard for RCC diagnosis remains histopathological analysis of surgical or biopsy specimens, implementation of noninvasive diagnostic strategies to discriminate between benign and malignant renal masses is an urgent unmet need. OBJECTIVE: To systematically review novel liquid biomarkers and imaging modalities for RCC diagnosis. EVIDENCE ACQUISITION: A systematic review of the recent English-language literature was conducted according to the European Association of Urology guidelines and the PRISMA statement recommendations (PROSPERO ID: CRD42020190773) using the MEDLINE, Cochrane Central Register of Controlled Trials, Web of Science, and ClinicalTrials.gov databases. Risk-of-bias assessment was performed according to the QUADAS 2 tool. EVIDENCE SYNTHESIS: Overall, 15 studies (six on biomarkers and nine on imaging) and eight clinical trials were included. None of the biomarkers or imaging modalities has been validated or shown to have a distinct clinical value for RCC. Specific combinations of urinary cell-free and exosomal miRNAs, urinary miR-15a, and specific panels of urinary metabolites assessed by metabolomics appear promising. In addition, machine/deep learning algorithms and radiomics applied to cross-sectional images may have potential to improve RCC diagnosis. Most studies are limited by the retrospective design, size, and lack of external validation. CONCLUSIONS: Liquid biomarkers or imaging modalities are not ready for integration in the clinic and further well-designed studies must validate preliminary findings and explore utility in clinical decision-making. PATIENT SUMMARY: We provide a comprehensive overview of the currently available biomarkers (measured in blood or urine) and novel imaging tests (other than conventional imaging) to discriminate kidney cancer from benign renal masses in a noninvasive fashion. None of the biomarkers or imaging modalities studied was validated or added clinical value; therefore, none of them can be implemented in the clinic. However, these approaches appear to be promising for improving the diagnosis of kidney cancer in the future.
AB - CONTEXT: The epidemiological signature of renal cell carcinoma (RCC) during the past decades is explained by overdetection and overtreatment of indolent cancers; furthermore, a non-negligible proportion of patients undergoing surgery for suspected RCC harbour benign renal tumours. As the gold standard for RCC diagnosis remains histopathological analysis of surgical or biopsy specimens, implementation of noninvasive diagnostic strategies to discriminate between benign and malignant renal masses is an urgent unmet need. OBJECTIVE: To systematically review novel liquid biomarkers and imaging modalities for RCC diagnosis. EVIDENCE ACQUISITION: A systematic review of the recent English-language literature was conducted according to the European Association of Urology guidelines and the PRISMA statement recommendations (PROSPERO ID: CRD42020190773) using the MEDLINE, Cochrane Central Register of Controlled Trials, Web of Science, and ClinicalTrials.gov databases. Risk-of-bias assessment was performed according to the QUADAS 2 tool. EVIDENCE SYNTHESIS: Overall, 15 studies (six on biomarkers and nine on imaging) and eight clinical trials were included. None of the biomarkers or imaging modalities has been validated or shown to have a distinct clinical value for RCC. Specific combinations of urinary cell-free and exosomal miRNAs, urinary miR-15a, and specific panels of urinary metabolites assessed by metabolomics appear promising. In addition, machine/deep learning algorithms and radiomics applied to cross-sectional images may have potential to improve RCC diagnosis. Most studies are limited by the retrospective design, size, and lack of external validation. CONCLUSIONS: Liquid biomarkers or imaging modalities are not ready for integration in the clinic and further well-designed studies must validate preliminary findings and explore utility in clinical decision-making. PATIENT SUMMARY: We provide a comprehensive overview of the currently available biomarkers (measured in blood or urine) and novel imaging tests (other than conventional imaging) to discriminate kidney cancer from benign renal masses in a noninvasive fashion. None of the biomarkers or imaging modalities studied was validated or added clinical value; therefore, none of them can be implemented in the clinic. However, these approaches appear to be promising for improving the diagnosis of kidney cancer in the future.
KW - Biomarkers
KW - Diagnosis
KW - Imaging
KW - Radiomics
KW - Renal cell carcinoma
KW - Screening
U2 - 10.1016/j.euo.2020.12.011
DO - 10.1016/j.euo.2020.12.011
M3 - Review article
C2 - 33408053
AN - SCOPUS:85101872610
VL - 4
SP - 22
EP - 41
JO - European Urology Oncology
JF - European Urology Oncology
SN - 2588-9311
IS - 1
ER -