Evidence map›Paper›PMID 35901322›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Comparison of High-Resolution Melting (HRM) Analysis with Direct Sequencing for the Detection of DNMT3A Mutations in AML Patients.

Mohammadreza Moonesi, Saeed Zaka Khosravi, Alireza Moradabadi, Mohsen Rajaeinejad, Mohammad Foad Heidari, Golnoosh Mahjub, Ali Noroozi-Aghideh

Open access · goldAbstract readComparative Study
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. 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
0.6field-weighted citation impact, top 29% 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, 5 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Mohammadreza MoonesiDepartment of Hematology, Faculty of Paramedicine, AJA University of Medical Sciences, Tehran, Iran.
Saeed Zaka KhosraviDepartment of Hematology, Faculty of Paramedicine, AJA University of Medical Sciences, Tehran, Iran.
Alireza MoradabadiDepartment of Medical Laboratory, Khomein University of Medical Sciences, Khomein, Iran.
Mohsen RajaeinejadDepartment of Oncology and Hematology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Mohammad Foad HeidariDNA Molecular Identification Center, Aja University of Medical Sciences, Tehran, Iran.
Golnoosh MahjubDepartment of Clinical Biochemistry, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Noroozi-AghidehDepartment of Hematology, Faculty of Paramedicine, AJA University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-2811-2659
Aja University of Medical Sciences · IRImam Khomeini Hospital · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAcute myeloid leukemia (AML) is caused by abnormal gene expression following mutations. Many of the mutations in AML lead to gene instability and poor response to treatment. Among these mutations, DNMT3A mutation is exceedingly important due to its major role in methylation and its effect on the expression of other genes. Aberrant methylation due to DNMT3A mutations that mostly occur in exon 23, affects the overall survival (OS) of patients with AML and myelodysplastic syndromes (MDS) showing the importance of identification of these mutations. According to the association of these mutations with short overall survival and disease progression in AML patients, we aimed to investigate DNMT3A gene exon 23 mutations using HRM.

methodsFifty peripheral blood samples were taken from patients with AML. Mononuclear cells were isolated by ficoll method, and DNA was extracted. Then, mutation detection was detected using the HRM method. Efficacy of the HRM method in mutation detection was compared with direct sequencing method as gold standard.

resultsMutations in codon 23 of the DNMT3A gene were detected in 5 patients (10%). All of the detected mutations were missense type. A comparison between direct sequencing and HRM analysis demonstrated full concordance of mutation detection.

conclusionAccording to the full consistency between the HRM and direct sequencing methods, HRM is suggested to be adopted as an alternative for the common time-consuming methods in detecting the gene mutations.

Indexed as

DNA (Cytosine-5-)-MethyltransferasesLeukemia, Myeloid, AcuteDNA Methyltransferase 3ADNA Modification MethylasesDNA Mutational AnalysisHumansMutationDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNA Modification MethylasesDNMT3A protein, humanAMLDNMT3AHRMLeukemia

Identifiers

PMID35901322
PMCPMC9727341
OpenAlexW4288388900

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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.