Evidence map›Paper›PMID 42238582›Full record

ArticleFrontiers in immunology2026

Identification and experimental validation of mitochondria pathway related genes in acute myeloid leukemia.

Rui Dou, Wei Li, Lei Zhang, Dan Li, Wei Cheng, Zunmin Zhu

Abstract read
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Article in Frontiers in immunology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rui Dou *Institute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Wei Li *Institute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Lei ZhangInstitute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Dan LiInstitute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Wei ChengInstitute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Zunmin ZhuInstitute of Hematology, Henan Key Laboratory of Stem Cell Differentiation and Modification, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myeloid leukemia (AML) is a hematologic malignancy characterized by heterogeneity, poor prognosis, and limited biomarkers for risk prediction. Mitochondria pathway related genes (MPRGs), as central regulators of cellular metabolism and immune microenvironment dynamics, may provide useful information for prognostic assessment and biological characterization in AML. Methods: MPRGs were obtained from the MitoCarta3.0 database. Univariate Cox and Kaplan-Meier methods were conducted to analyze their prognostic relevance. LASSO penalized regression followed by stepwise multivariate Cox analysis yielded an optimal gene panel in the TCGA-LAML dataset. External validation was performed across three GEO datasets (GSE10358, GSE106291, GSE71014). Finally, the role of UCP2 was examined Results: A prognostic signature comprising seven MPRGs (UCP2, FAM162A, ACCS, HSD1, ACSF2, PPIF, and SDHA) was established. High-risk patients exhibited significantly shorter survival. The MPRGs risk score served as an independent predictor of prognosis. Moreover, elevated risk scores correlated with heightened immune checkpoint molecule expression and an immunosuppressive tumor microenvironment. UCP2 knockdown attenuated both proliferative capacity and migratory potential in MOLM-13 AML cells. Conclusion: In summary, the MPRG-based signature provides independent prognostic value in AML and reflects its association with an immunosuppressive microenvironment. These findings provide additional evidence that mitochondrial pathway-related genes are associated with AML prognosis and immune microenvironment features. UCP2 may represent a biologically relevant candidate gene in AML, although further mechanistic and clinical validation is required.

Indexed as

Biomarkers, TumorLeukemia, Myeloid, AcuteMitochondriaCell Line, TumorGene Expression ProfilingHumansPrognosisSignal TransductionTumor MicroenvironmentUncoupling Protein 2Biomarkers, TumorUCP2 protein, humanUncoupling Protein 2acute myeloid leukemiabiomarkermitochondriaprognosissurvival

Identifiers

PMID42238582
PMCPMC13226555

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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.