Transferring measurable residual disease measurement in pediatric acute lymphoblastic leukemia from quantitative real-time PCR to digital droplet PCR.
Pediatr Transplant
; 27(4): e14483, 2023 06.
Article
em En
| MEDLINE
| ID: mdl-36750990
ABSTRACT
BACKGROUND:
Since the measurement of measurable residual disease (MRD) is part of clinical routine examination for children affected with acute lymphoblastic leukemia (ALL), continuous efforts are made to improve its method, applicability and accuracy. Whereas quantitative real-time polymerase chain reaction (qPCR) is considered as the gold standard for MRD detection and endowed with international guidelines for implementation and evaluation, these do not yet exist for digital droplet PCR (ddPCR). However, advantages are seen in droplet partitioning for MRD measurement to allow absolute quantification without depending on reference samples.METHODS:
In this study, 17 MRD targets of nine patients with childhood B-ALL were analyzed with qPCR and ddPCR, respectively. All patients were assigned to high risk group and had hematopoietic stem cell transplantation and CD19 antibody therapy for relapse prevention. Starting with the sequences and guidelines of qPCR and optimizing the protocol for ddPCR, the MRD targets could also be measured precisely with this novel method, using the same primer and probe sets as for qPCR.RESULTS:
The already established MRD protocol of qPCR could be transferred to ddPCR and all 17 MRD targets were measured in dilution series reaching comparable Limit of detection levels with both PCR methods.CONCLUSIONS:
With a given qPCR protocol and some experience in conventional MRD monitoring, it is conceivable to transfer the procedure of MRD measurement to ddPCR technology. Our data is in line with other studies which are summarized and discussed here as well to facilitate the transfer of MRD diagnostics to ddPCR.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Leucemia-Linfoma Linfoblástico de Células Precursoras
Tipo de estudo:
Diagnostic_studies
/
Guideline
Limite:
Child
/
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article