Evidence map›Paper›PMID 34402088›Full record

ArticleHematological oncology2021

Applicability of droplet digital polymerase chain reaction for minimal residual disease monitoring in Philadelphia-positive acute lymphoblastic leukaemia.

Michela Ansuinelli, Irene Della Starza, Alessia Lauretti, Loredana Elia, Veronica Siravo, Monica Messina, Lucia Anna De Novi, Akram Taherinasab, Martina Canichella, Anna Guarini and 2 more

Abstract read
In one paragraph

Article in Hematological oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Acute lymphoblastic leukaemia.Nature reviews. Disease primers · 2024
    Review
  6. Article
  7. Review
  8. Article
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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

12 authors.

Michela AnsuinelliHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.ORCID https://orcid.org/0000-0002-3424-915X
Irene Della StarzaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.ORCID https://orcid.org/0000-0001-7909-8642
Alessia LaurettiHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Loredana EliaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Veronica SiravoHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Monica MessinaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Lucia Anna De NoviHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Akram TaherinasabHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Martina CanichellaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Anna GuariniDepartment of Molecular Medicine, Sapienza University, Rome, Italy.
Robin FoàHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Sabina ChiarettiHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.

Funding

Associazione Italiana per la Ricerca sul Cancro (AIRC) : Special Program Molecular Clinical Oncology-Extension (10007) and Special Program Metastases (21198) 5 × 1000Biorad : Droplet Innovators'AwardsMinistero dell'Istruzione, dell'Università e della Ricerca PRIN 2017 (2017PPS2×4_002)Sapienza Università di Roma Finanziamento Medi Progetti Universitari 2015
6 · The paper itself

Abstract

In Ph+ acute lymphoblastic leukaemia (Ph+ ALL), minimal residual disease (MRD) is the most relevant prognostic factor. Currently, its evaluation is based on quantitative real-time polymerase chain reaction (Q-RT-PCR). Digital droplet PCR (ddPCR) was successfully applied to several haematological malignancies. We analyzed 98 samples from 40 Ph+ ALL cases, the majority enrolled in the GIMEMA LAL2116 trial: 10 diagnostic samples and 88 follow-up samples, mostly focusing on positive non-quantifiable (PNQ) or negative samples by Q-RT-PCR to investigate the value of ddPCR for MRD monitoring. DdPCR BCR/ABL1 assay showed good sensitivity and accuracy to detect low levels of transcripts, with a high rate of reproducibility. The analysis of PNQ or negative cases by Q-RT-PCR revealed that ddPCR increased the proportion of quantifiable samples (p < 0.0001). Indeed, 29/54 PNQ samples (53.7%) proved positive and quantifiable by ddPCR, whereas 13 (24.1%) were confirmed as PNQ by ddPCR and 12 (22.2%) proved negative. Among 24 Q-RT-PCR-negative samples, 13 (54.1%) were confirmed negative, four (16.7%) resulted PNQ and seven (29.2%) proved positive and quantifiable by ddPCR. Four of 5 patients, evaluated at different time points, who were negative by Q-RT-PCR and positive by ddPCR experienced a relapse. DdPCR appears useful for MRD monitoring in adult Ph+ ALL.

Indexed as

Philadelphia ChromosomeBiomarkers, TumorDisease ProgressionFusion Proteins, bcr-ablHumansNeoplasm Recurrence, LocalNeoplasm, ResidualPrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisReal-Time Polymerase Chain ReactionReproducibility of ResultsBiomarkers, TumorFusion Proteins, bcr-ablddPCRMRDPh+ acute lymphoblastic leukemia

Identifiers

PMID34402088
PMCPMC9292453

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.