Evaluation of TERT promoter mutations in urinary cell-free DNA and sediment DNA for detection of bladder cancer.


Journal

Clinical biochemistry
ISSN: 1873-2933
Titre abrégé: Clin Biochem
Pays: United States
ID NLM: 0133660

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 31 08 2018
revised: 12 11 2018
accepted: 26 11 2018
pubmed: 12 12 2018
medline: 16 3 2019
entrez: 12 12 2018
Statut: ppublish

Résumé

Cell-free DNA (cfDNA) is proposed to be a valuable source of biomarkers in liquid biopsies for various diseases as it is supposed to partially originate from tumor cells. However, data about the diagnostic implications of cfDNA in urine for the detection of bladder cancer (BCa) is sparse. We evaluated the usability of urinary cfDNA for diagnostic purposes compared to urine sediment DNA (sDNA) in 53 BCa patients and 36 control subjects by analyzing two abundant point-mutations (C228T/C250T) in the TERT promoter using Next-Generation Sequencing. Mutations were detected in 77% of the urinary sDNA compared to 63% of the cfDNA samples. Moreover, the TERT mutation allele frequencies (MAF) were highly correlated in cfDNA and sDNA. In comparison, the accuracy of the TERT assay was higher in sDNA (84%) compared to cfDNA or voided urine cytology (both 77%). Interestingly, MAFs from leukocyte-rich urines were higher in cfDNA than in sDNA, indicating a diagnostic advantage of cfDNA in such urines. Urine-based mutation detection has the ability to augment and surpass voided urine cytology as the current gold-standard for the non-invasive detection and surveillance of BCa. The analysis of cell-free DNA provides no general diagnostic advantage compared to urine sediment DNA.

Sections du résumé

BACKGROUND BACKGROUND
Cell-free DNA (cfDNA) is proposed to be a valuable source of biomarkers in liquid biopsies for various diseases as it is supposed to partially originate from tumor cells. However, data about the diagnostic implications of cfDNA in urine for the detection of bladder cancer (BCa) is sparse.
METHODS METHODS
We evaluated the usability of urinary cfDNA for diagnostic purposes compared to urine sediment DNA (sDNA) in 53 BCa patients and 36 control subjects by analyzing two abundant point-mutations (C228T/C250T) in the TERT promoter using Next-Generation Sequencing.
RESULTS RESULTS
Mutations were detected in 77% of the urinary sDNA compared to 63% of the cfDNA samples. Moreover, the TERT mutation allele frequencies (MAF) were highly correlated in cfDNA and sDNA. In comparison, the accuracy of the TERT assay was higher in sDNA (84%) compared to cfDNA or voided urine cytology (both 77%). Interestingly, MAFs from leukocyte-rich urines were higher in cfDNA than in sDNA, indicating a diagnostic advantage of cfDNA in such urines.
CONCLUSIONS CONCLUSIONS
Urine-based mutation detection has the ability to augment and surpass voided urine cytology as the current gold-standard for the non-invasive detection and surveillance of BCa. The analysis of cell-free DNA provides no general diagnostic advantage compared to urine sediment DNA.

Identifiants

pubmed: 30528938
pii: S0009-9120(18)30948-2
doi: 10.1016/j.clinbiochem.2018.11.009
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Cell-Free Nucleic Acids 0
DNA, Neoplasm 0
TERT protein, human EC 2.7.7.49
Telomerase EC 2.7.7.49

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

60-63

Informations de copyright

Copyright © 2018 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Auteurs

Sebastian Stasik (S)

Medical Department I, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany.

Karsten Salomo (K)

Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.

Ulrike Heberling (U)

Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.

Michael Froehner (M)

Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.

Ulrich Sommer (U)

Institute of Pathology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany.

Gustavo B Baretton (GB)

Institute of Pathology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany; Tumor and normal tissue bank of Universitäts KrebsCentrum (UCC), University Hospital and Faculty of Medicine, Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany.

Gerhard Ehninger (G)

Medical Department I, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany.

Manfred P Wirth (MP)

Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany.

Christian Thiede (C)

Medical Department I, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany; German Cancer Consortium (DKTK), Dresden, Germany.

Susanne Fuessel (S)

Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Partner site Dresden, Dresden, Germany. Electronic address: susanne.fuessel@uniklinikum-dresden.de.

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Classifications MeSH