Evidence map›Paper›PMID 36672325›Full record

ReviewCancers2023

Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia.

Irene Della Starza, Lucia Anna De Novi, Loredana Elia, Vittorio Bellomarino, Marco Beldinanzi, Roberta Soscia, Deborah Cardinali, Sabina Chiaretti, Anna Guarini, Robin Foà

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. How I treat newly diagnosed acute lymphoblastic leukemia.Clinical hematology international · 2024
    Article
  14. Acute lymphoblastic leukemia in young adults: which up-front treatment?.Hematology. American Society of Hematology. Education Program · 2023
    Article
  15. Article
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.

Irene Della StarzaHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.ORCID 0000-0001-7909-8642
Lucia Anna De NoviHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Loredana EliaHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Vittorio BellomarinoHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.ORCID 0000-0002-4736-7171
Marco BeldinanziHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Roberta SosciaHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.ORCID 0000-0002-8027-2430
Deborah CardinaliHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Sabina ChiarettiHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Anna GuariniHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 Rome, Italy.
Robin FoàHematology, Department of Translational and Precision Medicine, "Sapienza" University, Via Benevento 6, 00161 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) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients.

Indexed as

acute lymphoblastic leukemia (ALL)cell-free DNA (cfDNA)digital droplet PCR (ddPCR)minimal/measurable residual disease (MRD)next-generation sequencing (NGS)novel molecular markersRQ-PCR

Identifiers

PMID36672325
PMCPMC9856386
OpenAlexW4313648848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.