Digital PCR in Myeloid Malignancies: Ready to Replace Quantitative PCR?


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
07 May 2019
Historique:
received: 26 03 2019
revised: 01 05 2019
accepted: 03 05 2019
entrez: 10 5 2019
pubmed: 10 5 2019
medline: 4 9 2019
Statut: epublish

Résumé

New techniques are on the horizon for the detection of small leukemic clones in both, acute leukemias and myeloproliferative disorders. A promising approach is based on digital polymerase chain reaction (PCR). Digital PCR (dPCR) is a breakthrough technology designed to provide absolute nucleic acid quantification. It is particularly useful to detect a low amount of target and therefore it represents an alternative method for detecting measurable residual disease (MRD). The main advantages are the high precision, the very reliable quantification, the absolute quantification without the need for a standard curve, and the excellent reproducibility. Nowadays the main disadvantages of this strategy are the costs that are still higher than standard qPCR, the lack of standardized methods, and the limited number of laboratories that are equipped with instruments for dPCR. Several studies describing the possibility and advantages of using digital PCR for the detection of specific leukemic transcripts or mutations have already been published. In this review we summarize the available data on the use of dPCR in acute myeloid leukemia and myeloproliferative disorders.

Identifiants

pubmed: 31067725
pii: ijms20092249
doi: 10.3390/ijms20092249
pmc: PMC6540058
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Daniela Cilloni (D)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. daniela.cilloni@unito.it.

Jessica Petiti (J)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. jessica.petiti@unito.it.

Valentina Rosso (V)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. valentina.rosso@unito.it.

Giacomo Andreani (G)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. giacomo.andreani@unito.it.

Matteo Dragani (M)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. matteo.dragani@gmail.com.

Carmen Fava (C)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. carmen.fava@unito.it.

Giuseppe Saglio (G)

Department of Clinical and Biological Sciences, University of Turin, 10043 Turin, Italy. giuseppe.saglio@unito.it.

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