Evidence map›Paper›PMID 38982248›Full record

ArticleGenes and immunity2024

Validating genetic variants in innate immunity linked to infectious events in acute myeloid leukemia post-induction chemotherapy.

Ulf Schnetzke, Mike Fischer, Christoph Röllig, André Scherag, Heidi Altmann, Friedrich Stölzel, Nael Alakel, Martin Bornhäuser, Andreas Hochhaus, Sebastian Scholl

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes and immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

10 authors.

Ulf SchnetzkeKlinik für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Comprehensive Cancer Center Central Germany - Campus Jena, Universitätsklinikum Jena, Jena, Germany. ulf.schnetzke@med.uni-jena.de.ORCID 0000-0001-7455-8988
Mike FischerInstitut für Humangenetik, Universitätsklinikum Jena, Jena, Germany.
Christoph RölligMedizinische Klinik I, Universitätsklinikum der Technischen Universität Dresden, Dresden, Germany.
André ScheragInstitut für Medizinische Statistik, Informatik und Datenwissenschaften, Universitätsklinikum Jena, Jena, Germany.
Heidi AltmannMedizinische Klinik I, Universitätsklinikum der Technischen Universität Dresden, Dresden, Germany.
Friedrich StölzelMedizinische Klinik I, Universitätsklinikum der Technischen Universität Dresden, Dresden, Germany.
Nael AlakelMedizinische Klinik I, Universitätsklinikum der Technischen Universität Dresden, Dresden, Germany.
Martin BornhäuserMedizinische Klinik I, Universitätsklinikum der Technischen Universität Dresden, Dresden, Germany.ORCID 0000-0002-5916-3029
Andreas HochhausKlinik für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Comprehensive Cancer Center Central Germany - Campus Jena, Universitätsklinikum Jena, Jena, Germany.
Sebastian SchollKlinik für Innere Medizin II, Abteilung für Hämatologie und Internistische Onkologie, Comprehensive Cancer Center Central Germany - Campus Jena, Universitätsklinikum Jena, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious events, such as sepsis and invasive fungal disease (IFD), pose significant risks in patients with acute myeloid leukemia (AML). Previous studies, including our own, have suggested a potential role of single nucleotide polymorphisms (SNPs) within the innate immune system in influencing individual infection susceptibility. However, many of these associations lack validation in independent cohorts. This study sought to validate the impact of 11 candidate SNPs across 6 genes (TLR2, TLR4, Dectin-1, DC-SIGN, PTX3, L-Ficolin) in an independent cohort of patients. Two cohorts with newly diagnosed AML patients receiving intensive induction chemotherapy were analyzed: a stratification cohort comprising 186 patients and a validation cohort consisting of 138 patients. Multiple SNPs in each cohort were found to be associated to infectious complications, notably the DC-SIGN SNP rs4804800 demonstrated a significant association with sepsis in both cohorts. SNPs within the PTX3 and Dectin-1 genes were linked to IFD development in one cohort each. This study represents the first validation study of candidate genes associated with infectious events in AML patients after intensive induction chemotherapy. Identifying genetic predispositions to infections could significantly impact the management of antimicrobial prophylaxis and treatment in AML patients.

Indexed as

Immunity, InnateLectins, C-TypeLeukemia, Myeloid, AcutePolymorphism, Single NucleotideAdolescentAdultAgedCell Adhesion MoleculesCohort StudiesC-Reactive ProteinDC-Specific ICAM-3 Grabbing NonintegrinFemaleGenetic Predisposition to DiseaseHumansInduction ChemotherapyInvasive Fungal InfectionsCell Adhesion MoleculesC-Reactive ProteinDC-Specific ICAM-3 Grabbing NonintegrinLectins, C-TypePentraxinsReceptors, Cell SurfaceSerum Amyloid P-ComponentTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4

Identifiers

PMID38982248
PMCPMC11327101

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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.