Evidence map›Paper›PMID 30737839›Full record

ArticleJournal of clinical laboratory analysis2019

FLT3, a prognostic biomarker for acute myeloid leukemia (AML): Quantitative monitoring with a simple anti-FLT3 interaction and flow cytometric method.

Chadarat Ampasavate, Wasimon Jutapakdee, Rungsinee Phongpradist, Singkome Tima, Adisak Tantiworawit, Pimlak Charoenkwan, Dujrudee Chinwong, Songyot Anuchapreeda

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  6. A Novel Predictive Model Incorporating Ferroptosis-Related Gene Signatures for Overall Survival in Patients with Lung Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 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

8 authors at 1 institution in 1 country.

Chadarat AmpasavateDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-1464-0685
Wasimon JutapakdeeDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand.
Rungsinee PhongpradistDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand.
Singkome TimaDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.
Adisak TantiworawitDivision of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Pimlak CharoenkwanDepartment of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Dujrudee ChinwongDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand.
Songyot AnuchapreedaCenter for Research and Development of Natural Products for Health, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-7259-4694
Chiang Mai University · TH

Funding

Center for Research and Development of Natural Products for Health, Chiang Mai UniversityThailand Research Fund (TRF) DBG5480010
6 · The paper itself

Abstract

backgroundOverexpression of fms-like tyrosine kinase 3 (FLT3) protein in leukemia is highly related to poor prognosis and reduced survival rate in acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) patients. Simple but efficient quantification of FLT3 protein levels on the leukemic cell surface using flow cytometry had been developed for rapid determination of FLT3 on intact cell surface.

methodsQuantitation protocol for FLT3 biomarker in clinical samples was developed and validated. Cell model selection for calibration curve construction was identified and evaluated. Selected antibody concentrations, cell density, and incubation time were evaluated for most appropriate conditions. Comparison of the developed FLT3 determination protocol with the conventional Western blot analysis was performed.

resultsEoL-1 cell line was selected for using as positive control cells. Calibration curve (20%-120% of FLT3 positive cells) and quality control (QC) levels were constructed and evaluated. The results demonstrated good linearity (r

conclusionsThe effective, reliable, rapid, and economical analytical technique using the developed flow cytometric method was demonstrated for FLT3 protein determination on leukemic cell surface. This method provided a practical analysis of FLT-3 biomarker levels which is valuable for physician decision in acute leukemia treatment.

Indexed as

AntibodiesBiomarkers, TumorBlotting, WesternBone MarrowCalibrationCell Line, TumorFlow Cytometryfms-Like Tyrosine Kinase 3HumansImmunoblottingLeukemia, Myeloid, AcuteLimit of DetectionReproducibility of ResultsAntibodiesBiomarkers, TumorFLT3 protein, humanfms-Like Tyrosine Kinase 3acute myeloid leukemiaflow cytometryFLT3leukemic cellsvalidation

Identifiers

PMID30737839
PMCPMC6528579
OpenAlexW2911800277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.