Evidence map›Paper›PMID 32366841›Full record

ArticleBlood cancer journal2020

Impact of numerical variation, allele burden, mutation length and co-occurring mutations on the efficacy of tyrosine kinase inhibitors in newly diagnosed FLT3- mutant acute myeloid leukemia.

Iman Abou Dalle, Ahmad Ghorab, Keyur Patel, Xuemei Wang, Hyunsoo Hwang, Jorge Cortes, Ghayas C Issa, Fevzi Yalniz, Koji Sasaki, Dai Chihara and 8 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  7. The Clinical Utility ofCurrent oncology (Toronto, Ont.) · 2023
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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

18 authors at 1 institution in 1 country.

Iman Abou DalleDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6520-9134
Ahmad GhorabDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Keyur PatelDepartment of hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xuemei WangDepartment of biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hyunsoo HwangDepartment of biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jorge CortesDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ghayas C IssaDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-4339-8683
Fevzi YalnizDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Koji SasakiDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Dai ChiharaDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1153-2294
Allyson PriceDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Tapan KadiaDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Naveen PemmarajuDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Naval DaverDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Courtney DiNardoDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-9003-0390
Farhad RavandiDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hagop M KantarjianDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gautam BorthakurDepartment of leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. gborthak@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

FLT3-ITD mutations in newly diagnosed acute myeloid leukemia (AML) are associated with worse overall survival (OS). FLT3-ITD diversity can further influence clinical outcomes. Addition of FLT3 inhibitors to standard chemotherapy has improved OS. The aim of this study is to evaluate the prognostic impact of FLT3 diversity and identify predictors of efficacy of FLT3 inhibitors. We reviewed prospectively collected data from 395 patients with newly diagnosed FLT3-ITD mutant AML. 156 (39%) patients received FLT3 inhibitors combined with either high or low intensity chemotherapy. There was no statistically significant difference in clinical outcomes among patients treated with FLT3 inhibitors based on FLT3 numerical variation (p = 0.85), mutation length (p = 0.67). Overall, the addition of FLT3 inhibitor to intensive chemotherapy was associated with an improved OS (HR = 0.35, 95% CI: 0.24-0.5, p = 0.0005), but not in combination with lower intensity chemotherapy (HR = 0.98, 95%CI: 0.7-1.36, p = 0.85). A differential effect of FLT3 inhibitor on OS was more pronounced in younger patients with FLT3 allelic ratio ≥0.5 (HR = 0.41, 95% CI: 0.25-0.66, p < 0.001), single ITD mutation (HR = 0.55, 95% CI: 0.34-0.88, p = 0.01), diploid cytogenetics (HR = 0.52, 95% CI: 0.35-0.76, p = 0.001), NPM1 co-mutation (HR = 0.35, 95% CI: 0.19-0.67, p = 0.001). Our analysis identifies predictors of survival among diverse FLT3 related variables in patients treated with FLT3 inhibitor.

Indexed as

AdolescentAdultAgedAged, 80 and overAllelesCytogeneticsFemalefms-Like Tyrosine Kinase 3HumansLeukemia, Myeloid, AcuteMaleMiddle AgedMutationNucleophosminPrognosisProtein Kinase InhibitorsFLT3 protein, humanfms-Like Tyrosine Kinase 3NPM1 protein, humanNucleophosminProtein Kinase Inhibitors

Identifiers

PMID32366841
PMCPMC7198530
OpenAlexW3021443337

What OpenQuestion 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 OpenQuestion graph.