Work

LDLRAD4 is a potential diagnostic and prognostic biomarker correlated with immune infiltration in myelodysplastic syndromes

Year: 2025

Type: article

Abstract: 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: 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.

Source: Frontiers in Genetics

DOI: 10.3389/fgene.2025.1540161