Digital droplet PCR as a predictive tool for successful discontinuation outcome in chronic myeloid leukemia: Is it time to introduce it in the clinical practice?

Fusion Proteins, bcr-abl / genetics Humans Leukemia, Myelogenous, Chronic, BCR-ABL Positive / diagnosis Neoplasm, Residual Polymerase Chain Reaction Protein Kinase Inhibitors / therapeutic use Reproducibility of Results
CML Deep molecular response Digital PCR Droplet digital PCR TKIs Treatment free remission

Journal

Critical reviews in oncology/hematology
ISSN: 1879-0461
Titre abrégé: Crit Rev Oncol Hematol
Pays: Netherlands
ID NLM: 8916049

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 30 05 2020
revised: 14 10 2020
accepted: 05 11 2020
pubmed: 28 11 2020
medline: 23 1 2021
entrez: 27 11 2020
Statut: ppublish

Résumé

Tyrosine kinase inhibitors (TKIs) have drastically changed the outcome of chronic myeloid leukemia (CML) patients. A sustained and deep molecular response achieved over time paves the way to therapy discontinuation, and is a pre-requisite to attempt treatment-free remission. Monitoring of the molecular response during treatment discontinuation is routinely carried out by RQ-PCR, but it may not be the optimal tool to monitor minimal residual disease at the time of stopping treatment and during treatment discontinuation. Different digital PCR platforms (such as droplet dPCR) are available, a method based on water-emulsion droplet technology in which the sample is partitioned into 20,000 droplets and PCR amplification of the template subsequently occurs in each individual droplet. The consequent high sensitivity and precision with a very reliable quantification without the need of a calibration curve and the exquisite reproducibility makes this procedure as an ideal alternative method for the detection of very low levels of disease. Aim of this review is to describe and discuss the recent use of dPCR/ddPCR in CML, focusing in particular on its role in TKI treatment discontinuation strategies.

Identifiants

DOI: 10.1016/j.critrevonc.2020.103163 PMID: 33246263
pubmed: 33246263
pii: S1040-8428(20)30299-7
doi: 10.1016/j.critrevonc.2020.103163
pii:
doi:

Substances chimiques

Protein Kinase Inhibitors 0
Fusion Proteins, bcr-abl EC 2.7.10.2

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103163

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Gioia Colafigli (G)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Emilia Scalzulli (E)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Alessio Di Prima (A)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Sara Pepe (S)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Maria Giovanna Loglisci (MG)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Daniela Diverio (D)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Maurizio Martelli (M)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Robin Foà (R)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy.

Massimo Breccia (M)

Hematology, Department of Translational and Precision Medicine, Sapienza University, Azienda Policlinico Umberto 1, Rome, Italy. Electronic address: breccia@bce.uniroma1.it.

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Classifications MeSH

questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines tumorales › Protéines oncogènes › Protéines proto-oncogènes › Protéines proto-oncogènes c-bcr › Protéines de fusion bcr-abl › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Maladie chronique › Leucémie myéloïde chronique BCR-ABL positive › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Processus néoplasiques › Maladie résiduelle › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › Techniques d'investigation › Techniques génétiques › Techniques d'amplification d'acides nucléiques › Réaction de polymérisation en chaîne › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › Actions chimiques et utilisations › Actions pharmacologiques › Mécanismes moléculaires de l'action pharmacologique › Antienzymes › Inhibiteurs de protéines kinases › Digital droplet PCR as a predictive tool for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Digital droplet PCR as a predictive tool for...