Sensitivity and specificity of T-cell receptor PCR BIOMED-2 clonality analysis for the diagnosis of cutaneous T-cell lymphoma.

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: author
License: All rights reserved
Serval ID
serval:BIB_F3945A7C649E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Sensitivity and specificity of T-cell receptor PCR BIOMED-2 clonality analysis for the diagnosis of cutaneous T-cell lymphoma.
Journal
European journal of dermatology
Author(s)
Moczko A., Dimitriou F., Kresbach H., Amarov B., Hoetzenecker W., Pascolo S., Anzengruber F., Koch T., Duda A., Guenova E.
ISSN
1952-4013 (Electronic)
ISSN-L
1167-1122
Publication state
Published
Issued date
01/02/2020
Peer-reviewed
Oui
Volume
30
Number
1
Pages
12-15
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Early and precise diagnosis of cutaneous T-cell lymphomas (CTCL) is challenging. Currently, polymerase chain reaction (PCR)-based clonality assessment of the T-cell receptor (TCR) is a helpful tool for this diagnosis.
In this retrospective study, we aimed to assess the sensitivity and specificity of this method for the diagnosis of CTCL.
Monoclonal rearrangement of the TCR was investigated retrospectively by PCR-based clonality assessment based on 292 DNA samples from skin biopsies of patients with a suspicion of CTCL. Algorithms were based on different ratios (three or five-fold difference) between the dominant PCR peak and the third highest PCR peak.
A PCR peak five-fold higher than the third highest PCR peak demonstrated significantly greater specificity (83.7% versus 76.4%) but lower sensitivity (59.8% versus 68.6%) compared to a cut-off of three-fold higher.
Our results confirm the diagnostic value of TCR clonality analysis which may be used to define the ideal cut-off in order to optimize sensitivity and specificity.
Keywords
BIOMED-2, T-cell receptor, clonality, cutaneous lymphoma
Pubmed
Web of science
Create date
25/04/2020 21:36
Last modification date
06/01/2021 6:25
Usage data