Evidence map›Paper›PMID 42688360›Full record

ArticleTherapeutic advances in hematology2026

More precise risk stratification for de novo acute myeloid leukemia with double-mutation CEBPA.

Jing Jing Liu, Hai Ping Yang, Meng Hu

Abstract read
In one paragraph

Article in Therapeutic advances in 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.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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5 · Who and what money

Authors and funding

3 authors.

Jing Jing LiuDepartment of Hematology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan, China.ORCID https://orcid.org/0000-0001-7331-5925
Hai Ping YangDepartment of Hematology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan, China.
Meng HuDepartment of Hematology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CEBPA double-mutation (CEBPAdm) defines a favorable-risk subgroup of acute myeloid leukemia (AML), but marked heterogeneity exists, and relapse remains common. More precise prognostic stratification is urgently needed for this population. Objectives: To identify reliable prognostic factors and establish a refined risk stratification model for de novo AML with CEBPAdm. Design: Single-center retrospective observational cohort study. Methods: Samples were collected from AML patients at diagnosis for analysis. The proportions of different surface antigens in the bone marrow were evaluated via flow cytometry. The detection of mutations in AML patients was based on next-generation sequencing (NGS). Multiparametric flow cytometry (MFC) can detect minimal residual disease (MRD). The data were analysed via Statistical Program for Social Sciences Version 27.0 (SPSS 27.0). Results: ①Univariate analysis revealed that high expression of cluster of differentiation antigen 33 (CD33)was unfavourable prognostic factor ( Conclusions: These findings provide a more precise restratification for CEBPAdm patients on the basis of the expression of CD33.

Indexed as

acute myeloid leukemiaallogeneic stem cell transplantationchemotherapydouble-mutation CEBPAmeasurable residual disease

Identifiers

PMID42688360
PMCPMC13535027

What OpenQuestion holds

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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.