Evidence map›Paper›PMID 39611878›Full record

Trial reportAnnals of hematology2025

Digital PCR (dPCR) is able to anticipate the achievement of stable deep molecular response in adult chronic myeloid leukemia patients: results of the DEMONSTRATE study.

Simona Bernardi, Alessia Cavalleri, Silvia Mutti, Luca Garuffo, Mirko Farina, Alessandro Leoni, Alessandra Iurlo, Cristina Bucelli, Eleonora Toffoletti, Sara Di Giusto and 6 more

Abstract readClinical Trial
In one paragraph

Trial report in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Review
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Simona BernardiDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy. simona.bernardi@unibs.it.
Alessia CavalleriDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Silvia MuttiDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Luca GaruffoDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Mirko FarinaDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Alessandro LeoniDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Alessandra IurloHematology Division, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Cristina BucelliHematology Division, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Eleonora ToffolettiDivision of Hematology and BMT, Department of Medical and Morphological Research, University of Udine, Udine, Italy.
Sara Di GiustoDivision of Hematology and BMT, Department of Medical and Morphological Research, University of Udine, Udine, Italy.
Mario TiribelliDivision of Hematology and BMT, Department of Medical and Morphological Research, University of Udine, Udine, Italy.
Luigi ScaffidiDepartment of Engineering for Innovation Medicine, Section of Innovation Biomedicine, Hematology Area, University of Verona - Department of Medicine, Policlinico G.B.Rossi - AOUI Verona, Verona, Italy.
Gianni BinottoHematology and Clinical Immunology, Department of Medicine, Padua School of Medicine, Padua, Italy.
Michele MalagolaDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Domenico RussoDepartment of Clinical and Experimental Sciences, University of Brescia - Unit of Blood Disease and Stem Cell Transplantation, ASST-Spedali Civili, Brescia, Italy.
Massimiliano BonifacioDepartment of Engineering for Innovation Medicine, Section of Innovation Biomedicine, Hematology Area, University of Verona - Department of Medicine, Policlinico G.B.Rossi - AOUI Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Myeloid Leukemia (CML) is marked by the BCR::ABL1 fusion gene. Monitoring tyrosine kinase inhibitor (TKI) therapy response is crucial for treatment management, thus, limitations in Reverse Transcription quantitative PCR's (RT-qPCR) accuracy and sensitivity led to the exploration of alternative methods like digital PCR (dPCR). This study evaluated dPCR efficacy in detecting Minimal Residual Disease (MRD) in CML patients undergoing TKI therapy. 79 CML patients were enrolled (NP 3809 clinical trial), with samples analysed using both methods. The achievement and stability of Deep Molecular Response (DMR) were assessed over a 2-year period following the first DMR achievement. A comparative statistical analysis of MRD and DMR attainment, stability, and potential TFR achievement using both RT-qPCR and dPCR was conducted, supported by chi-squared tests, Fisher's exact tests, and Kaplan-Meier analysis. In 69/79 patients, dPCR either anticipated or coincided DMR achievement as compared to RT-qPCR. Among them, 52/69 achieved a stable DMR according to RT-qPCR, while 44/69 according to dPCR. Thus, dPCR capability to anticipate or coincide the achievement of a stable DMR resulted with p = 0.0012 and p = 0.0017, respectively. Transcript type and TKI choice did not influence DMR achievement or stability by either method. These findings highlight dPCR as a sensitive and accurate tool for monitoring MRD in CML patients, providing information for treatment management decisions, and potentially enhancing the selection of candidates for treatment-free remission. Further standardization of dPCR methodologies is warranted to leverage their benefits in clinical practice.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveProtein Kinase InhibitorsAdultAgedFemaleFusion Proteins, bcr-ablHumansMaleMiddle AgedNeoplasm, ResidualReal-Time Polymerase Chain ReactionTreatment OutcomeYoung AdultBCR-ABL1 fusion protein, humanFusion Proteins, bcr-ablProtein Kinase InhibitorsCMLdPCRMRDTKIsTranscript type

Identifiers

PMID39611878
PMCPMC11868186

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.