ArticleScientific reports2025
Lactate-related gene signatures predict prognosis and immune profiles in esophageal squamous cell carcinoma.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Review
- Lactylation in cancer: a new frontier in metabolic-epigenetic regulation and clinical practice.Cell communication and signaling : CCS · 2026Review
- KIF23 in disease pathogenesis and therapeutics : from molecular mechanisms to clinical translation.Cancer cell international · 2026Review
- KIF23 in disease pathogenesis and its therapeutic and diagnostic potential.Discover oncology · 2026Review
- Complex biological systems analysis and deep learning for prognostic prediction of esophageal squamous cell carcinoma.iScience · 2026Article
- Identification and Validation of cGAS-STING Pathway-Associated Predictive and Therapeutic Models for Esophageal Squamous Cell Cancer Patients via Artificial Intelligence and Multi-Omics.Cancer medicine · 2026Article
- Construction and validation of a transmembrane 4 superfamily-related genes prognostic model for esophageal squamous cell carcinoma.Frontiers in oncology · 2025Article
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Authors and funding
4 authors.
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Abstract
Previous studies have demonstrated the detrimental effects of lactate on patients with esophageal squamous cell carcinoma (ESCC). In this study, six lactate-related hub genes (SLC16A7, GFM1, PDP1, TRMT5,COX5A, and KIF23) were identified in ESCC. Significant differences were observed in various immune cell populations, including naive B cells and memory B cells, between ESCC and normal samples. scRNA-seq analysis revealed distinct cell subpopulations, such as T cells, fibroblasts, and epithelial cells. The lactylation score was notably greater in the ESCC samples than in the normal samples. Further comparison of lactylation scores across subpopulations revealed significantly elevated levels of monocytes, B cells, epithelial cells, and neutrophils in ESCC samples, whereas T cells and fibroblasts had higher scores in normal samples. CellChat analysis revealed that lactylation-associated subpopulations, particularly epithelial and immune cells, presented increased intercellular communication in the high-lactylation group. Additionally, KIF23, TRMT5, TEFM, SLC25A13, TIMM50, DGUOK, DNM1L and COX5A exhibited trends consistent with expectations in the two ESCC cell lines. This study identified six hub genes relevant to ESCC, offering a theoretical foundation for potential therapeutic approaches in ESCC.
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