Evidence map›Paper›PMID 32603763›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms.

Harrison K Tsai, Diane G Brackett, David Szeto, Ryan Frazier, Allison MacLeay, Phani Davineni, Danielle K Manning, Elizabeth Garcia, Neal I Lindeman, Long P Le and 5 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  7. The Clinical Utility ofCurrent oncology (Toronto, Ont.) · 2023
    Article
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  13. Cancers · 2022
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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

15 authors at 3 institutions in 1 country.

Harrison K TsaiDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Diane G BrackettDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
David SzetoDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Ryan FrazierDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Allison MacLeayDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Phani DavineniDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Danielle K ManningDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Elizabeth GarciaDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Neal I LindemanDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Long P LeDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Jochen K LennerzDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Christopher J GibsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
R Coleman LindsleyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Annette S KimDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts. Electronic address: askim@bwh.harvard.edu.
Valentina NardiDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: vnardi@partners.org.
Brigham and Women's Hospital · USMassachusetts General Hospital · USDana-Farber Cancer Institute · US

Funding

Targeting SYK Kinase in AMLP50CA206963 · NCI · DANA-FARBER CANCER INST · PI STEGMAIER, KIMBERLY · 2017 to 2021
$10.6M
Illuminating the evolutionary history of colorectal cancer metastasis: basic principles and clinical applicationsR37CA225655 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI NAXEROVA, KAMILA · 2018 to 2024
$3.0M
NCI NIH HHS P50 CA206963NCI NIH HHS R37 CA225655
6 · The paper itself

Abstract

Assessment of internal tandem duplications in FLT3 (FLT3-ITDs) and their allelic ratio (AR) is recommended by clinical guidelines for diagnostic workup of acute myeloid leukemia and traditionally performed through capillary electrophoresis (CE). Although significant progress has been made integrating FLT3-ITD detection within contemporary next-generation sequencing (NGS) panels, AR estimation is not routinely part of clinical NGS practice because of inherent biases and challenges. In this study, data from multiple NGS platforms-anchored multiplex PCR (AMP), amplicon [TruSeq Custom Amplicon (TSCA)], and hybrid-capture-were analyzed through a custom algorithm, including platform-specific measures of AR. Sensitivity and specificity of NGS for FLT3-ITD status relative to CE were 100% (42/42) and 99.4% (1076/1083), respectively, by AMP on an unselected cohort and 98.1% (53/54) and 100% (48/48), respectively, by TSCA on a selected cohort. Primer analysis identified criteria for ITDs to escape detection by TSCA, estimated to occur in approximately 9% of unselected ITDs. Allelic fractions under AMP or TSCA were highly correlated to CE, with linear regression slopes near 1 for ITDs not duplicating primers, and systematically underestimated for ITDs duplicating a primer. Bias was alleviated in AMP through simple adjustments. This article provides an approach for targeted computational FLT3-ITD analysis for NGS data from multiple platforms; AMP was found capable of near perfect sensitivity and specificity with relatively accurate estimates of ARs.

Indexed as

AlgorithmsAllelesCohort StudiesDiagnosis, Computer-AssistedExonsfms-Like Tyrosine Kinase 3Gene FrequencyHigh-Throughput Nucleotide SequencingHumansLeukemia, Myeloid, AcuteMedical InformaticsMultiplex Polymerase Chain ReactionMutationSensitivity and SpecificityTandem Repeat SequencesFLT3 protein, humanfms-Like Tyrosine Kinase 3

Identifiers

PMID32603763
PMCPMC7479488
OpenAlexW3080167657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.