Evidence map›Paper›PMID 41838329›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2026

NR2F2/AGAP2 axis: regulating lipid synthesis to drive AML progression via AMPKα/ACC pathway.

Qi Xin, Henan Zhang, Zheng Zhao, Gang Xu, Jihong Zhang

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi Xin *Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Henan Zhang *Hematology Laboratory, Shengjing Hospital of China Medical University, Shenyang, China.
Zheng Zhao *Department of Emergency Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Gang XuDepartment of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China. xgfm1919@163.com.
Jihong ZhangHematology Laboratory, Shengjing Hospital of China Medical University, Shenyang, China. zhangjh96615@126.com.

Funding

Liaoning Province Applied Basic Research Program Project 2023JH2/101300044Science and Technology Department of Liaoning Province Supported the High-quality Development of Science and Technology Funding of China Medical University 2023JH2/20200099
6 · The paper itself

Abstract

purposeThis study aims to investigate the role of AGAP2 in acute myeloid leukemia (AML), particularly its involvement in lipid metabolic reprogramming and AML progression, and to explore the underlying regulatory mechanisms.

methodsAGAP2 expression was analyzed in CD34⁺ cells from AML patients stratified by cytogenetic risk. Functional assays, including knockdown and overexpression of AGAP2, were performed in KG-1 and HL-60 AML cell lines to assess effects on proliferation, apoptosis, differentiation, and lipid metabolism. mRNA sequencing and KEGG pathway analysis were used to identify relevant signaling pathways. Lipid accumulation was evaluated via Filipin III staining. The AMPK pathway activator GSK621 was applied to examine lipid deposition. In vivo tumor growth and survival were studied in a mouse model, and bone marrow infiltration of CD45⁺ cells was analyzed. The transcriptional regulation of AGAP2 by NR2F2 was assessed through promoter binding and functional rescue experiments.

resultsAGAP2 was highly expressed in CD34⁺ cells from AML patients, with higher levels in the poor-risk group compared to favorable- and intermediate-risk groups. Knockdown of AGAP2 induced apoptosis and differentiation, while its overexpression promoted cell proliferation. KEGG analysis indicated enrichment of differentially expressed genes in the AMPK pathway. AGAP2 was found to inhibit AMPK/ACC pathway activation. Overexpression of AGAP2 increased lipid deposition whereas GSK621 treatment reversed it. In vivo, AGAP2 knockdown suppressed tumor growth, improved survival, and reduced CD45⁺ cell infiltration in bone marrow. Furthermore, NR2F2 bound to the AGAP2 promoter and suppressed its transcription. NR2F2 overexpression reduced lipid accumulation, an effect reversed by AGAP2 overexpression.

conclusionAGAP2 promotes lipid deposition and AML progression by inhibiting the AMPKα/ACC pathway. NR2F2 acts as a transcriptional repressor of AGAP2, thereby attenuating AML development. These findings reveal a novel NR2F2/AGAP2/AMPK/ACC regulatory axis in AML, highlighting potential therapeutic targets for lipid metabolism-based interventions in leukemia.

Indexed as

AMP-Activated Protein KinasesDisease ProgressionLeukemia, Myeloid, AcuteLipidsSignal TransductionAdultAnimalsApoptosisCell DifferentiationCell Line, TumorCell ProliferationFemaleHumansLipid MetabolismMaleMiceAMP-Activated Protein KinasesLipidsAcute myeloid leukemiaAGAP2AMPKα/ACCLipidNR2F2

Identifiers

PMID41838329
PMCPMC12992729

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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.