ORIGINAL RESEARCH article
Front. Genet.
Sec. Cytogenomics
Volume 16 - 2025 | doi: 10.3389/fgene.2025.1540161
This article is part of the Research TopicEvaluating Differentiation Therapy and Biomarkers in Myeloid MalignanciesView all articles
LDLRAD4 is a potential diagnostic and prognostic biomarker correlated with immune infiltration in Myelodysplastic Syndromes
Provisionally accepted
- 1Guangdong Medical University, Zhanjiang, China
- 2Department of Hematology, Affiliated Hospital of Guangdong Medical University,, Zhanjiang, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Purpose Myelodysplastic syndromes (MDS) are a group of hematological disorders that remain relatively under-explored, which are characterized by inconspicuous early symptoms and generally poor prognosis. Owing to the complex and variable pathogenesis of MDS, there is a relative paucity of available therapeutic options. Consequently, in-depth investigation into the pathogenesis of MDS and the search for effective targeted therapies have become urgent priorities. Methods In this study, we leveraged the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) and conducted functional enrichment analysis. Utilizing three machine learning algorithms—Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Random Forest (RF)—we pinpointed hub genes. Furthermore, this study explored the relationship between hub gene expression levels and immune infiltration Results Our analysis identified three hub genes: LDLRAD4, FAM43A, and KCNK5, with LDLRAD4 showing a close association with TGF-β and MAPK signaling pathways. Furthermore, this study revealed a positive correlation between LDLRAD4 expression levels and immune infiltration, particularly with natural killer (NK) cells, offering a novel immunological perspective on LDLRAD4. Ultimately, we observed that the overexpression of LDLRAD4 can suppress the proliferative capacity of MDS cells, induce cell cycle arrest, and enhance apoptosis. Conclusion We conclude that LDLRAD4, FAM43A, and KCNK5 are potential biomarkers for MDS. LDLRAD4's overexpression in vitro inhibits MDS cell proliferation and promotes apoptosis, suggesting significant potential for immunotherapy research. These findings collectively identify LDLRAD4 as a promising therapeutic target for MDS. However, its clinical applicability warrants further investigation to validate its potential.
Keywords: Myelodysplastic Syndromes, Biological Markers, machine learning, LDLRAD4, Immune infiltration
Received: 05 Dec 2024; Accepted: 16 Oct 2025.
Copyright: © 2025 Xu, Wu, Zhang, Nie, Li, Zhong, Zhang and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yuming Zhang, ymzhang@gdmu.edu.cn
Honghua He, hehonghua@gdmu.edu.cn
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.