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August 25, 2025Open Access

Multi-omics analysis identifies lactylation-mediated immune biomarkers in esophageal cancer

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Authors

PBPeijian BaiHZHuihui ZhangPLPing Li

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Overview

Observational analysis identified 9 lactate metabolism-related genes in esophageal cancer, suggesting novel immunotherapy targets.

Key Points

  • A 9-gene lactate metabolism-related gene signature predicts survival outcomes in esophageal cancer patients, highlighting distinct prognostic groups.
  • High-risk esophageal cancer patients exhibited an immunosuppressive tumor microenvironment with increased immune cell populations and impaired immunotherapy responses.
  • Multi-omics analysis integrating RNA sequencing data, along with differential expression and regression models, was employed to identify the prognostic gene signature.
  • Potential therapies like Alisertib and Nutlin-3a may serve as effective treatments by targeting lactate-driven mechanisms in esophageal cancer.

Cite This Study

Bai et al. (2025) studied this question.

synapsesocial.com/papers/68af7b2a7567bf4f94ff3428https://doi.org/10.21203/rs.3.rs-7241851/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A novel lactylation-related gene signature deciphers the immunosuppressive microenvironment and stratifies precision therapy in colorectal cancer2026
  2. 2Single-cell and spatial transcriptomics reveal lactate-active epithelial–immune cell crosstalk that reprograms the immune microenvironment in colorectal cancer2026
  3. 3Integrative analysis of lactylation related genes in prostate cancer: unveiling heterogeneity through single-cell RNA-seq, bulk RNA-seq and machine learning2025
  4. 4206. ENO1 LACTYLATION AS A PROMISING PREDICTIVE BIOMARKER AND THERAPEUTIC TARGET FOR ESCC METASTASIS2025
  5. 5Bioinformatics Analysis and Experimental Validation of Lactylation Related Genes in Lung Adenocarcinoma2025