» Articles » PMID: 35741115

Digital Droplet PCR in Hematologic Malignancies: A New Useful Molecular Tool

Overview
Specialty Radiology
Date 2022 Jun 24
PMID 35741115
Authors
Affiliations
Soon will be listed here.
Abstract

Digital droplet PCR (ddPCR) is a recent version of quantitative PCR (QT-PCR), useful for measuring gene expression, doing clonality assays and detecting hot spot mutations. In respect of QT-PCR, ddPCR is more sensitive, does not need any reference curve and can quantify one quarter of samples already defined as "positive but not quantifiable". In the and clonality assessment, ddPCR recapitulates the allele-specific oligonucleotide PCR (ASO-PCR), being not adapt for detecting clonal evolution, that, on the contrary, does not represent a pitfall for the next generation sequencing (NGS) technique. Differently from NGS, ddPCR is not able to sequence the whole gene, but it is useful, cheaper, and less time-consuming when hot spot mutations are the targets, such as occurs with , , in acute leukemias or T315I mutation in Philadelphia-positive leukemias or in chronic myeloproliferative neoplasms. Further versions of ddPCR, that combine different primers/probes fluorescences and concentrations, allow measuring up to four targets in the same PCR reaction, sparing material, time, and money. ddPCR is also useful for quantitating fusion gene, expression, donor chimerism, and minimal residual disease, so helping physicians to realize that "patient-tailored therapy" that is the aim of the modern hematology.

Citing Articles

Circulating tumor DNA in lymphoma: technologies and applications.

Fu L, Zhou X, Zhang X, Li X, Zhang F, Gu H J Hematol Oncol. 2025; 18(1):29.

PMID: 40069858 PMC: 11900646. DOI: 10.1186/s13045-025-01673-7.


Fusion Genes in Myeloid Malignancies.

Ang C, Than H, Tuy T, Goh Y Cancers (Basel). 2024; 16(23).

PMID: 39682241 PMC: 11639841. DOI: 10.3390/cancers16234055.


Beyond the Gut: The intratumoral microbiome's influence on tumorigenesis and treatment response.

Zhang H, Fu L, Leiliang X, Qu C, Wu W, Wen R Cancer Commun (Lond). 2024; 44(10):1130-1167.

PMID: 39087354 PMC: 11483591. DOI: 10.1002/cac2.12597.


Development and clinical validation of a dual ddPCR assay for detecting carbapenem-resistant in bloodstream infections.

Kou X, Zhu D, Zhang Y, Huang L, Liang J, Wu Z Front Microbiol. 2024; 15:1338395.

PMID: 38591042 PMC: 11000175. DOI: 10.3389/fmicb.2024.1338395.


Digital PCR for Single-Cell Analysis.

Fang W, Liu X, Maiga M, Cao W, Mu Y, Yan Q Biosensors (Basel). 2024; 14(2).

PMID: 38391982 PMC: 10886679. DOI: 10.3390/bios14020064.


References
1.
Medeiros B . Deletion of IKZF1 and prognosis in acute lymphoblastic leukemia. N Engl J Med. 2009; 360(17):1787. DOI: 10.1056/NEJMc090454. View

2.
La Rocca F, Grieco V, Ruggieri V, Zifarone E, Villani O, Zoppoli P . Superiority of Droplet Digital PCR Over Real-Time Quantitative PCR for Allele Mutational Burden Assessment in Myeloproliferative Neoplasms: A Retrospective Study. Diagnostics (Basel). 2020; 10(3). PMC: 7151190. DOI: 10.3390/diagnostics10030143. View

3.
Jiang X, Chen S, Zhu X, Xu X, Liu Y . Development and validation of a droplet digital PCR assay for the evaluation of PML-RARα fusion transcripts in acute promyelocytic leukemia. Mol Cell Probes. 2020; 53:101617. DOI: 10.1016/j.mcp.2020.101617. View

4.
Pettersson L, Johansson Alm S, Almstedt A, Chen Y, Orrsjo G, Shah-Barkhordar G . Comparison of RNA- and DNA-based methods for measurable residual disease analysis in NPM1-mutated acute myeloid leukemia. Int J Lab Hematol. 2021; 43(4):664-674. DOI: 10.1111/ijlh.13608. View

5.
Della Starza I, Nunes V, Cavalli M, De Novi L, Ilari C, Apicella V . Comparative analysis between RQ-PCR and digital-droplet-PCR of immunoglobulin/T-cell receptor gene rearrangements to monitor minimal residual disease in acute lymphoblastic leukaemia. Br J Haematol. 2016; 174(4):541-9. DOI: 10.1111/bjh.14082. View