HLF gene is a poor prognostic factor in acute myeloid leukemia patients with FLT3-ITD/NPM1 mutations undergoing hematopoietic transplantation

X Xiaoyu Xu (State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University) X Xinxin Ge A Airui Jiang J Jia Chen Q Qiaocheng Qiu Z Zixuan Ding M Mingqing Zhu J Jinlan Pan Z Zixing Chen W Wenwen Du D Depei Wu S Suning Chen H Hongjie Shen

Abstract

Acute myeloid leukemia (AML) patients with FLT3-ITD mutations were benefit from hematopoietic cell transplantation (HSCT) in the first complete remission. Previous research suggested that newly diagnosed AML patients with high allelic ratio (AR) of FLT3-ITD have unfavorable survivals, while newly diagnosed AML patients with lower FLT3-ITD AR and concomitant NPM1 mutations have favorable outcomes. In AML patients with FLT3-ITD, co-occurrence with DNMT3A, and NPM1 mutations (triple-mutated AML patients) have the worst prognoses, however, it is little known about how these mutations synergize in these triple-mutated AML patients. Here we showed that hepatic leukemia factor (HLF) gene was more highly expressed in triple-mutated AML patients than in those without the DNMT3A mutations. We found that HLF gene expressions had significant difference in triple-mutated and FLT3-ITD/NPM1 AML patients (double-mutated AML patients). Moreover, in DNMT3A mutated AML patients, correlated with high HLF gene expression, which may be itself associated with poor survival rate and drug resistance. Overall our data establish that HLF gene as a novel biomarker in this genetically defined the triple-mutated AML subgroup.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 10
Published October 14, 2025
Pages e0333690
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (13)

X

Xiaoyu Xu

State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University

X

Xinxin Ge

A

Airui Jiang

J

Jia Chen

Q

Qiaocheng Qiu

Z

Zixuan Ding

M

Mingqing Zhu

J

Jinlan Pan

Z

Zixing Chen

W

Wenwen Du

D

Depei Wu

S

Suning Chen

H

Hongjie Shen