Evidence map›Paper›PMID 26547258›Full record

ArticleLeukemia research2015

Detectable FLT3-ITD or RAS mutation at the time of transformation from MDS to AML predicts for very poor outcomes.

Talha Badar, Keyur P Patel, Philip A Thompson, Courtney DiNardo, Koichi Takahashi, Monica Cabrero, Gautam Borthakur, Jorge Cortes, Marina Konopleva, Tapan Kadia and 8 more

Open access · greenAbstract read
In one paragraph

Article in Leukemia research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  4. AML, Myelodysplasia-Related: Beyond Classification-Toward Precision Decision-Making.Mediterranean journal of hematology and infectious diseases · 2026
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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.

Talha BadarDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Keyur P PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Philip A ThompsonDepartment 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.
Koichi TakahashiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Monica CabreroDepartment 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.
Jorge CortesDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Marina KonoplevaDepartment 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.
Zach BohannanDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sherry PierceDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Elias J JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Farhad RavandiDepartment 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.
Raja LuthraDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hagop KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Guillermo Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: ggarciam@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 CA016672NCI NIH HHS P30CA016672
6 · The paper itself

Abstract

backgroundThe molecular events that drive the transformation from myelodysplastic syndromes (MDS) to acute myeloid leukemia (AML) have yet to be fully characterized. We hypothesized that detection of these mutations at the time of transformation from MDS to AML may lead to poorer outcomes.

methodsWe analyzed 102 MDS patients who were admitted to our institution between 2004 and 2013, had wild-type (wt) FLT3-ITD and RAS at diagnosis, progressed to AML, and had serial mutation testing at both the MDS and AML stages.

resultsWe detected FLT3-ITD and/or RAS mutations in twenty-seven (26%) patients at the time of transformation to AML. Twenty-two patients (81%) had RAS mutations and five (19%) had FLT3-ITD mutations. The median survival after leukemia transformation in patients who had detectable RAS and/or FLT3-ITD mutations was 2.4 months compared to 7.5 months in patients who retained wt RAS and FLT3-ITD (hazard ratio [HR]: 3.08, 95% confidence interval [CI]: 1.9-5.0, p<0.0001). In multivariate analysis, FLT3-ITD and RAS mutations had independent prognostic significance for poor outcome.

Indexed as

Genes, rasMutationAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCell Transformation, NeoplasticCodonDisease ProgressionFemalefms-Like Tyrosine Kinase 3HumansKaplan-Meier EstimateLeukemia, Myeloid, AcuteMaleMiddle AgedCodonFLT3 protein, humanfms-Like Tyrosine Kinase 3AMLFLT3-ITDLeukemic transformationMDSRAS

Identifiers

PMID26547258
PMCPMC4822515
OpenAlexW1786859726

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Registered trials

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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.