Evidence map›Paper›PMID 40025540›Full record

ArticleExperimental hematology & oncology2025

IRF1 is a core transcriptional regulatory circuitry member promoting AML progression by regulating lipid metabolism.

Fenli Zhang, Zhiheng Li, Fang Fang, Yixin Hu, Zhixu He, Yanfang Tao, Yizhen Li, Zimu Zhang, Bi Zhou, Ying Yang and 13 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
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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

23 authors.

Fenli Zhang *Department of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China.
Zhiheng Li *Institute of Pediatric Research, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, China.
Fang Fang *Institute of Pediatric Research, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, China.
Yixin Hu *Department of Hematology, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, Jiangsu, China.
Zhixu HeDepartment of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China.
Yanfang TaoDepartment of Traditional Chinese Medicine, Children's Hospital of Soochow University, Suzhou, 215003, China.
Yizhen LiDepartment of Hematology, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, Jiangsu, China.
Zimu ZhangInstitute of Pediatric Research, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, China.
Bi ZhouChildren's Hospital of Soochow University, Suzhou, 215003, China.
Ying YangDepartment of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China.
Yumeng WuChildren's Hospital of Soochow University, Suzhou, 215003, China.
Yijun WuChildren's Hospital of Soochow University, Suzhou, 215003, China.
Zhongling WeiDepartment of Hematology, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, Jiangsu, China.
Ailian GuoDepartment of Hematology, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, Jiangsu, China.
Ling XuChildren's Hospital of Soochow University, Suzhou, 215003, China.
Yongping ZhangChildren's Hospital of Soochow University, Suzhou, 215003, China.
Xiaolu LiInstitute of Pediatric Research, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, China.
Yan LiChildren's Hospital of Soochow University, Suzhou, 215003, China.
Chunxia YangDepartment of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China.
Man ZhouDepartment of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China.
Jian PanInstitute of Pediatric Research, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, China. panjian2008@163.com.
Shaoyan HuDepartment of Hematology, Children's Hospital of Soochow University, No.92 Zhongnan Street, SIP, Suzhou, 215003, Jiangsu, China. hsy139@126.com.
Xiaoyan YangDepartment of Pediatrics, Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang, 550000, Guizhou, China. 469389553@qq.com.

Funding

Jiangsu Province's Science and Technology Support Program (Social Development) Project BE2021657Jiangsu Province's Science and Technology Support Program (Social Development) Project BE2022732the Innovation and Entrepreneurship Funding Project of Guizhou Province for overseas Talents (2022) 10the Jiangsu Provincial Health Commission Scientific Research Project H2023106the Jiangsu Provincial Health Commission Scientific Research Project M2022102the Jiangsu Provincial Health Commission Scientific Research Project Z2022031the Jiangsu Provincial Health Commission Scientific Research Project ZD2022056the National Key R&D Program of China 2022YFC2502700the National Natural Science Foundation 82060033the National Natural Science Foundation 82072767the National Natural Science Foundation 82141110the National Natural Science Foundation 82172840the National Natural Science Foundation 82203442the National Natural Science Foundation 82300182the National Natural Science Foundation U23A20498the National Outstanding Youth Cultivation Program Project YYJQ004the Natural Science Foundation of Jiangsu Province BK20220047the Project of Scientific and Technological Innovation Talent Team in Guizhou Province CXTD[2021]002the Science and Technology Department of Guizhou Province Grants ZK[2023]YB366the Science and Technology Development Project of Suzhou City SKY2022170the Science and Technology Development Project of Suzhou City SKY2023185the Science and Technology Development Project of Suzhou City SKY2023192the Suzhou Health Talent Training Project GSWS2020047the Suzhou Health Talent Training Project GSWS2021028the Suzhou Health Talent Training Project GSWS2022062
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a prevalent malignancy of the hematologic system. Despite advancements in therapeutic approaches, significant heterogeneity and therapeutic resistance pose substantial challenges to treatment. Tumors driven by core transcription factors through super-enhancers can establish core transcriptional regulatory circuits (CRCs) that modulate oncogene expression programs. Identifying CRC is crucial for understanding disease-related transcriptional regulation. This study sought to predict and establish a CRC model for AML, identify genes critical for AML survival and explore their regulatory mechanisms in AML progression.

methodsThe dbCoRC tool was used for predictive analysis of H3K27ac ChIP-seq data from 11 AML samples to construct and validate the CRC model in AML patients. To elucidate the functional role of the CRC member IRF1, we utilized short hairpin RNA (shRNA) to knock down IRF1 in AML cells. RNA-seq, CUT&Tag and lipidomics technologies were subsequently used to investigate the regulatory roles and downstream mechanisms of IRF1 in AML.

resultsThis study established a core transcriptional regulatory circuit consisting of IRF1, ELF1, ETV6, RUNX2, and MEF2D, which formed an interconnected autoregulatory loop. Further investigations revealed up-regulated expression of IRF1 in AML patients, which was associated with poor prognosis. Inhibition of IRF1 expression resulted in decreased AML cell proliferation and induced apoptosis, indicating its essential role in the survival of AML cells. Additionally, this study revealed that IRF1 directly regulates the transcription of key genes such as FASN, SCD, and SREBF1 for lipid synthesis, thereby affecting lipid metabolism in AML cells.

conclusionIn summary, this study identified IRF1 as a novel core transcription factor involved in AML pathogenesis. IRF1 collaborates with ELF1, ETV6, RUNX2, and MEF2D to form a core transcriptional regulatory circuit that promotes AML progression. Furthermore, we demonstrated that IRF1 directly regulates the expression of key genes involved in lipid metabolism, influencing the synthesis of diverse lipid molecules crucial for AML survival.

Indexed as

AMLCore transcriptional regulatory circuitIRF1Lipid metabolismSuper-enhancer

Identifiers

PMID40025540
PMCPMC11871635

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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.