ArticleFrontiers in oncology2025
NK cell-related genes-driven novel molecular subtyping and prognostic signatures for Wilms tumor: uncovering the therapeutic potential of TGX-221 and biomarker role of HS2ST1.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- ULSL: Unified Latent and Similarity Learning for robust multi-omics cancer subtype identification.Bioinformatics advances · 2026Article
- Multi-omics analysis identifies stemness-driven molecular subtypes, prognostic signature, epigenetic target APCDD1, and drug candidate Leflunomide in Wilms tumor.Frontiers in oncology · 2026Article
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9 authors.
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Abstract
Background: Wilms tumor (WT) lacks precise molecular subtyping tools, which limits the development of personalized therapies. To address this issue, we investigated whether NK cell-related genes (NKGs) could refine the molecular subtyping of WT, aiming to identify novel therapeutic strategies. Methods: Consensus clustering was employed for the molecular subtyping of WT. The immune microenvironment of different WT subtypes was assessed using immune profiling algorithms. Potential therapeutic compounds targeting the identified subtypes were screened using the CMap database, and their mechanisms of action were elucidated through molecular docking and molecular dynamics simulations. Subsequently, Results: We developed novel molecular subtyping tools that classified WT into prognostically distinct subtypes: "immune-rich" and "immune-desert". Screening the CMap database identified the small-molecule drug TGX-221 as a candidate modulator. TGX-221 significantly inhibited the malignant progression of WT through a dual-action mechanism: blocking the key oncogenic Wnt/β-catenin signaling pathway and sensitizing tumor cells to NK cell-mediated cytotoxicity. Furthermore, a prognostic signatures based on HS2ST1, EPI3M, and PPP3CA effectively predicted patient outcomes. Notably, HS2ST1 emerged as a novel biomarker, potentially promoting cancer stem cell-like properties via heparan sulfate-mediated enhancement of Wnt/β-catenin signaling, highlighting its dual value as both a prognostic indicator and a therapeutic target. Conclusion: Molecular subtyping and prognostic signatures based on NKGs enable the precise identification of high-risk WT patients. Moreover, TGX-221 represents a promising novel therapeutic candidate, while HS2ST1 serves as a potential prognostic biomarker. These findings collectively provide tools for risk stratification and targeted therapy, advancing precision oncology for WT.
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