ArticleGenome medicine2025
Multi-omics analysis reveals immunosuppression in oesophageal squamous cell carcinoma induced by creatine accumulation and HK3 deficiency.
Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Molecular subtyping-guided precision therapy for ESCC: biomarker-driven strategies and clinical translation pathways.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Biomarkers for oesophageal squamous cell carcinoma and the role of HPV: Multi‑omics approaches and current evidence (Review).International journal of oncology · 2026Review
- Mast cell driven immunometabolism as a therapeutic entry point in ESCC.Frontiers in cell and developmental biology · 2026Review
- Immunosuppressive tumor microenvironment and immunotherapy resistance of esophageal carcinoma.Frontiers in immunology · 2026Review
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- Comprehensive genomic and transcriptomic analyses reveal prognostic stratification for esophageal squamous cell carcinoma.Signal transduction and targeted therapy · 2025Article
- Genetic determinants of head and neck cancer: exploring causality among immune cells and plasma metabolites through two-sample Mendelian randomization and mediation analysis.Discover oncology · 2025Article
- Igniting Cold Tumors: Multi-Omics-Driven Strategies to Overcome Immune Evasion and Restore Immune Surveillance.Oncology research · 2025Review
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Authors and funding
25 authors.
Funding
Abstract
backgroundDeep insights into the metabolic remodelling effects on the immune microenvironment of oesophageal squamous cell carcinoma (ESCC) are crucial for advancing precision immunotherapies and targeted therapies. This study aimed to provide novel insights into the molecular landscape of ESCC and identify clinically actionable targets associated with immunosuppression driven by metabolic changes.
methodsWe performed metabolomic and proteomic analyses combined with previous genomic and transcriptomic data, identified multi-omics-linked molecular features, and constructed metabolic-immune interaction-based ESCC classifiers in a discovery cohort and an independent validation cohort. We further verified the molecular characteristics and related mechanisms of ESCC subtypes.
resultsOur integrated multi-omics analysis revealed dysregulated proteins and metabolic imbalances characterizing ESCC, with significant alterations in metabolites and proteins linked to genetic traits. Importantly, ESCC patients were stratified into three subtypes (S1, S2, and S3) on the basis of integrated metabolomic and proteomic data. A robust subtype prediction model was developed and validated across two independent cohorts. Notably, patients classified under the poorest prognosis subtype (S3 subtype) exhibited a significant immunosuppressive microenvironment. We identified key metabolism-related biomarkers for the S3 subtype, specifically creatine and hexokinase 3 (HK3). Creatine accumulation and HK3 protein deficiency synergistically reprogrammed macrophage metabolism, driving M2-like TAM polarization. This metabolic shift fostered an immunosuppressive microenvironment that accelerated tumour progression. These results highlight the potential of targeting creatine metabolism to improve the efficacy of immunotherapy and targeted therapy for ESCC.
conclusionsOur analysis reveals molecular variation in multi-omics linkages and identifies targets that reverse the immunosuppressive microenvironment through metabolic remodelling improving immunotherapy and targeted therapy for ESCC.
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