Evidence map›Paper›PMID 35159934›Full record

ReviewJournal of clinical medicine2022

Revealing the Mysteries of Acute Myeloid Leukemia: From Quantitative PCR through Next-Generation Sequencing and Systemic Metabolomic Profiling.

Cristina Panuzzo, Aleksandar Jovanovski, Muhammad Shahzad Ali, Daniela Cilloni, Barbara Pergolizzi

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. 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. Review
  3. Blockade of TIGAR prevents CD8Cancer immunology, immunotherapy : CII · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. MRD in ALL: Optimization and Innovations.Current hematologic malignancy reports · 2022
    Review
  12. 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

5 authors.

Cristina PanuzzoDepartment of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.
Aleksandar JovanovskiDepartment of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.ORCID 0000-0001-8221-3357
Muhammad Shahzad AliDepartment of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.
Daniela CilloniDepartment of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.ORCID 0000-0001-6346-4791
Barbara PergolizziDepartment of Clinical and Biological Sciences, University of Turin, 10124 Turin, Italy.ORCID 0000-0003-4686-0068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efforts made in the last decade regarding the molecular landscape of acute myeloid leukemia (AML) have created the possibility of obtaining patients' personalized treatment. Indeed, the improvement of accurate diagnosis and precise assessment of minimal residual disease (MRD) increased the number of new markers suitable for novel and targeted therapies. This progress was obtained thanks to the development of molecular techniques starting with real-time quantitative PCR (Rt-qPCR) passing through digital droplet PCR (ddPCR) and next-generation sequencing (NGS) up to the new attractive metabolomic approach. The objective of this surge in technological advances is a better delineation of AML clonal heterogeneity, monitoring patients without disease-specific mutation and designing customized post-remission strategies based on MRD assessment. In this context, metabolomics, which pertains to overall small molecules profiling, emerged as relevant access for risk stratification and targeted therapies improvement. In this review, we performed a detailed overview of the most popular modern methods used in hematological laboratories, pointing out their vital importance for MRD monitoring in order to improve overall survival, early detection of possible relapses and treatment efficacy.

Indexed as

acute myeloid leukemia (AML)digital droplet PCR (ddPCR)MDRmetabolomic profilingmetabolomics analysisnext-generation sequencing (NGS)RT-qPCR

Identifiers

PMID35159934
PMCPMC8836582

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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.