Evidence map›Paper›PMID 36998457›Full record

ReviewFrontiers in oncology2023

Research Topic: Measurable Residual Disease in Hematologic Malignancies. Can digital droplet PCR improve measurable residual disease monitoring in chronic lymphoid malignancies?

Giovanni Manfredi Assanto, Ilaria Del Giudice, Irene Della Starza, Roberta Soscia, Marzia Cavalli, Mattia Cola, Vittorio Bellomarino, Mariangela Di Trani, Anna Guarini, Robin Foà

Open access · goldFull text readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 2 institutions in 1 country.

Giovanni Manfredi AssantoHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Ilaria Del GiudiceHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Irene Della StarzaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Roberta SosciaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Marzia CavalliHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Mattia ColaHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Vittorio BellomarinoHematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy.
Mariangela Di TraniHematology, 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.
Sapienza University of Rome · ITFondazione Gimema Onlus · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimal/measurable residual disease (MRD) monitoring is progressively changing the management of hematologic malignancies. The possibility of detecting the persistence/reappearance of disease in patients in apparent clinical remission offers a refined risk stratification and a treatment decision making tool. Several molecular techniques are employed to monitor MRD, from conventional real-time quantitative polymerase chain reaction (RQ-PCR) to next generation sequencing and digital droplet PCR (ddPCR), in different tissues or compartments through the detection of fusion genes, immunoglobulin and T-cell receptor gene rearrangements or disease-specific mutations. RQ-PCR is still the gold standard for MRD analysis despite some limitations. ddPCR, considered the third-generation PCR, yields a direct, absolute, and accurate detection and quantification of low-abundance nucleic acids. In the setting of MRD monitoring it carries the major advantage of not requiring a reference standard curve built with the diagnostic sample dilution and of allowing to reduce the number of samples below the quantitative range. At present, the broad use of ddPCR to monitor MRD in the clinical practice is limited by the lack of international guidelines. Its application within clinical trials is nonetheless progressively growing both in acute lymphoblastic leukemia as well as in chronic lymphocytic leukemia and non-Hodgkin lymphomas. The aim of this review is to summarize the accumulating data on the use of ddPCR for MRD monitoring in chronic lymphoid malignancies and to highlight how this new technique is likely to enter into the clinical practice.

Indexed as

chronic lymphocytic leukemiadigital droplet PCRhairy cell leukaemia (HCL)measurable residual disease (MRD)non-Hodgkin lymphoma

Identifiers

PMID36998457
PMCPMC10043164
OpenAlexW4324145720

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read106
Read underepoch 390

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.