Evidence map›Paper›PMID 39527258›Full record

ArticleWiener klinische Wochenschrift2025

Acute myeloid leukemia in the next-generation sequencing era : Real-world data from an Austrian tertiary cancer care center.

Sonja Wurm, Michael Waltersdorfer, Simone Loindl, Jennifer M Moritz, Sereina A Herzog, Gerhard Bachmaier, Andrea Berghold, Karl Kashofer, Christine Beham-Schmid, Gerald Hoefler and 5 more

Abstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. A Novel Potent and Selective GCN2 Inhibitor, APL-4098, Has Antileukemic Activity through Dysregulation of Mitochondrial Function.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
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.

Sonja WurmClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0002-7540-737X
Michael WaltersdorferClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0009-0006-8559-7337
Simone LoindlClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.
Jennifer M MoritzClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0001-5574-6692
Sereina A HerzogInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0002-5373-5866
Gerhard BachmaierInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0002-8291-7255
Andrea BergholdInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-5187-9105
Karl KashoferDiagnostic & Research Institute of Pathology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0002-5803-4014
Christine Beham-SchmidDiagnostic & Research Institute of Pathology, Medical University of Graz, Graz, Austria.
Gerald HoeflerDiagnostic & Research Institute of Pathology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0002-9056-3063
Hildegard T GreinixClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0002-2780-3300
Albert WölflerClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0002-3112-9857
Andreas ReinischClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0001-9333-7689
Heinz SillClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria.ORCID http://orcid.org/0000-0003-0993-4371
Armin ZebischClinical Division of Hematology, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria. armin.zebisch@medunigraz.at.ORCID http://orcid.org/0000-0002-4861-7021

Funding

Austrian Science Fund I5021Austrian Science Fund I 6101-BAustrian Science Fund P32783-BAustrian Science Fund P 36672-BAustrian Society of Internal Medicine Joseph Skoda FellowshipLeukämiehilfe Steiermark n.a.MEFOgraz n.a.Österreichische Gesellschaft für Hämatologie und Onkologie Clinical Research Grant
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) has recently entered routine acute myeloid leukemia (AML) diagnostics. It is paramount for AML risk stratification and identification of molecular therapeutic targets. Most NGS feasibility and results data are derived from controlled clinical intervention trials (CCIT). We aimed to validate these data in a real-world setting. PATIENTS, MATERIALS AND

methodsThis study retrospectively analyzed 447 AML patients treated at an Austrian tertiary cancer care center. A total of 284 out of the 447 cases were treated between 2013-2023 when NGS was locally available for the clinical routine.

resultsThe NGS was successfully performed from bone marrow biopsies and aspirates, with processing times decreasing from 22 days in 2013/2014 to 10 days in 2022. Molecular therapeutic target(s) were identified by NGS in 107/284 (38%) cases and enabled risk stratification in 10 cases where conventional karyotyping failed. Concerning molecular landscape, TET2 (27%), FLT3 (25%), DNMT3A (23%), and NPM1 (23%) were most frequently mutated. Comparing older and younger patients (cut-off 70 years) showed enrichment in older people for mutations affecting DNA methylation (72% vs. 45%; P < 0.001) and the spliceosome (28% vs. 11%; P = 0.006) and more cellular signaling mutations in younger patients (61% vs. 46%; P = 0.022). Treatment outcomes corroborated a significant survival benefit in the recent NGS era and patients treated with novel/molecularly targeted drugs. Ultimately, biospecimens of these patients are stored within a leukemia biobank, generating a valuable tool for translational science.

conclusionOur study validates data from CCIT and supports their relevance for treatment decisions in a real-world setting. Moreover, they demonstrate the feasibility and benefits of NGS within a routine clinical setting.

Indexed as

Biomarkers, TumorHigh-Throughput Nucleotide SequencingLeukemia, Myeloid, AcuteAdolescentAdultAgedAged, 80 and overAustriaFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedNucleophosminPrevalenceRetrospective StudiesBiomarkers, TumorNPM1 protein, humanNucleophosminAMLControlled clinical trialsLeukemia biobankMutational profileReal-world data

Identifiers

PMID39527258
PMCPMC12370787

What OpenQuestion holds

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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.