Evidence map›Paper›PMID 42862382›Full record

ArticleAnnals of hematology2026

Apoptosis gene expression analysis identifies biologically distinct AML clusters and BIK as an independent prognostic marker.

Kinga Strzałka, Piotr Strzałka, Dariusz Jarych, Aneta Wiśnik, Damian Mikulski, Kacper Kościelny, Magdalena Czemerska, Izabela Zawlik, Agnieszka Wierzbowska, Agnieszka Pluta

Abstract read
In one paragraph

Article in Annals of hematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kinga StrzałkaDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland. mellowreine@gmail.com.ORCID http://orcid.org/0000-0002-6668-7963
Piotr StrzałkaDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland.
Dariusz JarychLaboratory of Virology, Institute of Medical Biology, Polish Academy of Sciences, Lodz, Poland.
Aneta WiśnikMultidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Lodz, Poland.
Damian MikulskiMultidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Lodz, Poland.
Kacper KościelnyDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland.
Magdalena CzemerskaDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland.
Izabela ZawlikDepartment of General Genetics, Faculty of Medicine, Collegium Medicum, University of Rzeszow, Rzeszow, Poland.
Agnieszka WierzbowskaDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland.
Agnieszka PlutaDepartment of Hematology, Multidisciplinary Provincial Center of Traumatology and Oncology Nicolas Copernicus in Lodz, Medical University of Lodz, Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulation of apoptosis is a key feature of acute myeloid leukemia (AML) and contributes to therapy resistance, yet the clinical relevance of apoptosis-related gene expression remains incompletely understood. We prospectively analyzed mRNA expression of apoptosis-related genes in bone marrow mononuclear cells from 90 newly diagnosed AML patients. Gene expression clustering identified two biologically distinct patient groups. The subgroup with significantly inferior overall survival (Cluster 2) showed coordinated upregulation of pro-apoptotic genes, including BCL2L11 (BIM), BBC3 (PUMA), BID, BAD, BIK, and BAX, together with a shift in anti-apoptotic signaling toward lower BCL2 expression and increased expression of alternative survival regulators, MCL1 and BCL2L1 (BCL-xL). Reduced expression of executioner caspases CASP3 and CASP7 was also observed in Cluster 2, which may indicate less efficient apoptotic execution. Among patients treated with venetoclax + azacitidine (VenAza), Cluster 2 demonstrated significantly shorter event-free survival. This finding is consistent with the biological features of Cluster 2, including a monocytic immunophenotype previously associated with reduced sensitivity to BCL-2-targeted therapy and increased reliance on alternative anti-apoptotic regulators such as MCL1 and BCL-xL. Analysis of individual genes showed that higher BIK mRNA expression was associated with poorer survival and lack of response to VenAza, highlighting the paradoxical association between increased expression of this pro-apoptotic gene and adverse clinical outcome. These findings demonstrate that dysregulation of apoptosis-related gene expression defines clinically distinct AML subgroups and may contribute to differences in prognosis and therapeutic response.

Indexed as

ApoptosisApoptosis Regulatory ProteinsBiomarkers, TumorGene Expression Regulation, LeukemicLeukemia, Myeloid, AcuteMitochondrial ProteinsAdultAgedAged, 80 and overBridged Bicyclo Compounds, HeterocyclicFemaleGene Expression ProfilingHumansMaleMiddle AgedPrognosisApoptosis Regulatory ProteinsBIK protein, humanBiomarkers, TumorBridged Bicyclo Compounds, HeterocyclicMitochondrial ProteinsSulfonamidesAcute myeloid leukemiaApoptosisGene expression profilingVenetoclax

Identifiers

PMID42862382
PMCPMC13658304

What OpenQuestion holds

Textmetadata
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.