Evidence map›Paper›PMID 36823555›Full record

ArticleBMC bioinformatics2023

ITDetect: a method to detect internal tandem duplication of FMS-like tyrosine kinase (FLT3) from next-generation sequencing data with high sensitivity and clinical application.

Sungyoung Lee, Choong-Hyun Sun, Heejun Jang, Daeyoon Kim, Sung-Soo Yoon, Youngil Koh, Seung Chan Na, Sung Im Cho, Man Jin Kim, Moon-Woo Seong and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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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

12 authors at 2 institutions in 1 country.

Sungyoung Lee *Department of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Choong-Hyun Sun *GenomeOpinion Inc., 117-3 Hoegiro, Dongdaemoon-gu, Seoul, Republic of Korea.
Heejun JangCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Daeyoon KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sung-Soo YoonCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Youngil KohCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seung Chan NaDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Sung Im ChoDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Man Jin KimDepartment of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Moon-Woo SeongDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Ja Min ByunCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. jaminbyun@snu.ac.kr.
Hongseok YunDepartment of Genomic Medicine, Seoul National University Hospital, Seoul, Republic of Korea. hsyun@snuh.org.
Seoul National University Hospital · KRSeoul National University · KR

Funding

Ministry of Health & Welfare, Republic of Korea HI14C1277
6 · The paper itself

Abstract

Internal tandem duplication (ITD) of the FMS-like tyrosine kinase (FLT3) gene is associated with poor clinical outcomes in patients with acute myeloid leukemia. Although recent methods for detecting FLT3-ITD from next-generation sequencing (NGS) data have replaced traditional ITD detection approaches such as conventional PCR or fragment analysis, their use in the clinical field is still limited and requires further information. Here, we introduce ITDetect, an efficient FLT3-ITD detection approach that uses NGS data. Our proposed method allows for more precise detection and provides more detailed information than existing in silico methods. Further, it enables FLT3-ITD detection from exome sequencing or targeted panel sequencing data, thereby improving its clinical application. We validated the performance of ITDetect using NGS-based and experimental ITD detection methods and successfully demonstrated that ITDetect provides the highest concordance with the experimental methods. The program and data underlying this study are available in a public repository.

Indexed as

Leukemia, Myeloid, AcuteVascular Endothelial Growth Factor Receptor-1fms-Like Tyrosine Kinase 3Gene DuplicationHigh-Throughput Nucleotide SequencingHumansMutationProtein-Tyrosine KinasesTandem Repeat SequencesFLT3 protein, humanfms-Like Tyrosine Kinase 3Protein-Tyrosine KinasesVascular Endothelial Growth Factor Receptor-1Acute myeloid leukemiafragment analysisInternal tandem duplicationNext-generation sequencing

Identifiers

PMID36823555
PMCPMC9951415
OpenAlexW4321595410

What Socratic 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 Socratic graph.