Evidence map›Paper›PMID 39789150›Full record

ArticleScientific reports2025

Lactylation modulation identifies key biomarkers and therapeutic targets in KMT2A-rearranged AML.

Dan Liu, Silu Liu, Yujie Ji, Ziyan Jin, Zhewei He, Mengjia Hou, Dongyang Li, Xiao Ma

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

8 authors.

Dan LiuSoochow Hopes Hematonosis Hospital, Wudong Road 1339, Wuzhong District, Suzhou, 215100, China. colleenld2020@hotmail.com.
Silu LiuSoochow Hopes Hematonosis Hospital, Wudong Road 1339, Wuzhong District, Suzhou, 215100, China.
Yujie JiNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ziyan JinNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhewei HeNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mengjia HouSoochow Hopes Hematonosis Hospital, Wudong Road 1339, Wuzhong District, Suzhou, 215100, China.
Dongyang LiSoochow Hopes Hematonosis Hospital, Wudong Road 1339, Wuzhong District, Suzhou, 215100, China.
Xiao MaNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China. pony73sz@sina.com.

Funding

National Natural Science Foundation of China No. 81900130Natural Science Foundation of the Jiangsu Higher Education Institution of China No. 18KJA320005Science and Technology Bureau of Wuzhong District, Suzhou, Jiangsu Province, China No. wzyw2021012Translational Research Grant of NCRCH No. 2020WSB03
6 · The paper itself

Abstract

Acute Myeloid Leukemia (AML) with KMT2A rearrangements (KMT2Ar), found on chromosome 11q23, is often called KMT2A-rearranged AML (KMT2Ar-AML). This variant is highly aggressive, characterized by rapid disease progression and poor outcomes. Growing knowledge of epigenetic changes, especially lactylation, has opened new avenues for investigation and management of this subtype. Lactylation plays a significant role in cancer, inflammation, and tissue regeneration, but the underlying mechanisms are not yet fully understood. This research examined the influence of lactylation on gene expression within KMT2Ar-AML, initially identifying twelve notable lactylation-dependent differentially expressed genes (DEGs). Using advanced machine learning techniques, six key lactylation-associated genes (PFN1, S100A6, CBR1, LDHB, LGALS1, PRDX1) were identified as essential for prognostic evaluation and linked to relevant disease pathways. The study also suggested PI3K inhibitors and Pevonedistat as possible therapeutic options to modulate immune cell infiltration. Our findings confirm the critical role of lactylation in KMT2Ar-AML and identify six key genes that may serve as biomarkers for diagnosis and treatment. In addition to highlighting the need for further validation in clinical settings, these findings contribute to our understanding of KMT2Ar-AML's molecular mechanisms.

Indexed as

Biomarkers, TumorHistone-Lysine N-MethyltransferaseLeukemia, Myeloid, AcuteMyeloid-Lymphoid Leukemia ProteinGene Expression ProfilingGene Expression Regulation, LeukemicGene RearrangementHumansPrognosisBiomarkers, TumorHistone-Lysine N-MethyltransferaseKMT2A protein, humanMyeloid-Lymphoid Leukemia ProteinAcute myeloid leukemiaEpigeneticsKMT2A rearrangements (KMT2Ar)LactylationMachine learning

Identifiers

PMID39789150
PMCPMC11718094

What Socratic holds

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Registered trials

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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 Socratic graph.