Evidence map›Paper›PMID 37300744›Full record

ArticleMolecular biology reports2023

Ultrasensitive quantitation of FLT3-ITD mutation in patients with acute myeloid leukemia using ddPCR.

Amir Asri Kojabad, Rouzbeh Chegeni, Shaharbano Rostami, Farhad Zaker, Majid Safa

Abstract read
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In one paragraph

Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Amir Asri KojabadDepartment of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
Rouzbeh ChegeniMedical Laboratory Sciences Program, College of Health and Human Sciences, Northern Illinois University, DeKalb, IL, USA.
Shaharbano RostamiHematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Farhad ZakerDepartment of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
Majid SafaDepartment of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran. majidsafa@gmail.com.ORCID http://orcid.org/0000-0003-0070-6620
Iran University of Medical Sciences · IRNorthern Illinois University · USTehran University of Medical Sciences · IR

Funding

Iran University of Medical Sciences 14651
6 · The paper itself

Abstract

backgroundFLT3-ITD mutations occur in 45-50% of cytogenetically normal AML patients. Conventional fragment analysis using capillary electrophoresis is routinely used to quantitate FLT3-ITD mutations. Fragment analysis however has limited sensitivity. METHODS AND

resultsHere, FLT3-ITD was quantified in AML patients using an in-house developed ultra-sensitive droplet digital polymerase chain reaction assay (ddPCR). The allelic ratio of FLT3-ITD was also absolutely measured by both Fragment analysis and ddPCR. The sensitivity of ddPCR in quantitation of FLT3-ITD mutation was superior to Fragment analysis.

conclusionThis study demonstrates the feasibility of using the described in-house ddPCR method to quantify the FLT3-ITD mutation and measure FLT3-ITD AR in AML patients.

Indexed as

Leukemia, Myeloid, AcuteNuclear Proteinsfms-Like Tyrosine Kinase 3HumansMutationNucleophosminPolymerase Chain ReactionFLT3 protein, humanfms-Like Tyrosine Kinase 3Nuclear ProteinsNucleophosminAMLddPCRFLT3-ITDFragment analysis

Identifiers

PMID37300744
OpenAlexW4380153733

What OpenQuestion holds

Textmetadata
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.