Evidence map›Paper›PMID 41394823›Full record

ArticleFrontiers in immunology2025

Elucidating AML ribosome biogenesis reshaping prognostic assessment and immune microenvironment integrated single-cell and bulk RNA analysis.

Xiaohe Chen, Aimei Feng, Fan Chen, Jue Zeng, Ming Chen

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing 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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaohe Chen *Department of Blood Transfusion, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Aimei Feng *Department of Hematology, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Fan ChenDepartment of Blood Transfusion, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Jue ZengDepartment of Blood Transfusion, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Ming ChenDepartment of Blood Transfusion, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute Myeloid Leukemia (AML) is an aggressive hematologic malignancy with significant clinical challenges due to its heterogeneity and high relapse rate. Dysregulated ribosome biogenesis is a recognized driver of tumorigenesis and therapy resistance, but its comprehensive impact on AML prognosis and the immune microenvironment remains to be fully elucidated. Methods: We constructed an AML single-cell atlas and quantified ribosome biogenesis activity. A prognostic ribosome biogenesis signature (RBS) was developed through integrated machine learning and interpreted using the SHapley Additive exPlanations (SHAP) framework. We evaluated the RBS associations with prognosis, tumor immune microenvironment, immunotherapy response, and drug sensitivity. Key findings were validated by qPCR, Western blot, and molecular docking. Results: Single-cell analysis revealed significantly elevated ribosome biogenesis activity scores (RAS, a composite metric quantifying cellular ribosome synthesis capacity) in AML stem and progenitor cells. The RBS model, established using a Random Survival Forest algorithm, demonstrated robust prognostic power. SHAP interpretation identified EXOSC2 as the top predictor. Low-RBS patients displayed an immune-activated microenvironment and heightened immunotherapy response. Molecular docking indicated high-affinity binding of ouabain and digoxin to EXOSC2. Conclusion: Our study delineates the critical role of ribosome biogenesis in AML progression and establishes an interpretable RBS prognostic signature. This tool effectively assesses immunotherapy responsiveness and reveals novel targeting opportunities, providing valuable insights for clinical decision-making to improve AML outcomes.

Indexed as

Leukemia, Myeloid, AcuteRibosomesTumor MicroenvironmentBiomarkers, TumorHumansMolecular Docking SimulationPrognosisSingle-Cell AnalysisBiomarkers, Tumoracute myeloid leukemiadiagnostic biomarkersimmune microenvironmentmachine learningribosome biogenesissingle-cell RNA sequencing

Identifiers

PMID41394823
PMCPMC12698545

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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.