ArticleJournal of translational medicine2024
Lactate-related gene signatures as prognostic predictors and comprehensive analysis of immune profiles in nasopharyngeal carcinoma.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- HMGB1 Post-Translational Modifications in Epstein-Barr Virus-Associated Nasopharyngeal Carcinoma: Current Evidence, Emerging Mechanistic Concepts, and Unresolved Questions.International journal of molecular sciences · 2026Review
- Insights from TPPP3 and its family member proteins in neuronal diseases.Neural regeneration research · 2026Article
- Harnessing the immune microenvironment: advances in nasopharyngeal carcinoma immunotherapy.Cell death discovery · 2026Review
- Lactylation and macrophage polarization from a clinical perspective: pathological mechanisms and therapeutic potential.Frontiers in immunology · 2026Review
- A lactylation-driven prognostic model for lung adenocarcinoma: cellular lactylation heterogeneity and immune insights.Translational lung cancer research · 2025Article
- Lactate at the crossroads of tumor metabolism and immune escape: a new frontier in cancer therapy.Journal of translational medicine · 2025Review
- Exploring the mechanisms of mutual influence between lactylation and macrophage polarization in the context of disease.Clinical and translational medicine · 2025Review
- Lactate and lactylation: molecular insights into histone and non-histone lactylation in tumor progression, tumor immune microenvironment, and therapeutic strategies.Biomarker research · 2025Review
- Construction and validation of a lactylation-based gene signature for prognostic assessment and immune infiltration analysis in gastric adenocarcinoma.BMC medical genomics · 2025Article
- Diverse Roles of Tubulin Polymerization Promoting Protein 3 (TPPP3) in Human Health and Disease.Cells · 2025Review
- Identification and validation of anoikis-related differentially expressed genes in nasopharyngeal carcinoma.Translational cancer research · 2025Article
- Single-cell RNA sequencing technology was employed to construct a risk prediction model for genes associated with pyroptosis and ferroptosis in lung adenocarcinoma.Respiratory research · 2025Article
- Tumor Microenvironment Lactate: Is It a Cancer Progression Marker, Immunosuppressant, and Therapeutic Target?Molecules (Basel, Switzerland) · 2025Review
- Single-cell sequencing reveals cellular heterogeneity and molecular mechanisms in tendon and enthesis injury repair.Frontiers in physiology · 2025Review
- Lactylation in tumor: mechanisms and therapeutic potentials.Frontiers in immunology · 2025Review
- Revealing lactylation-mediated mechanisms and hub genes in heart failure pathogenesis.Frontiers in cardiovascular medicine · 2025Article
- The pursuit of novel head and neck cancer biomarkers - tissue and blood expression of chloride intracellular channels family.PloS one · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
objectivesNasopharyngeal carcinoma (NPC) is an aggressive malignancy with high rates of morbidity and mortality, largely because of its late diagnosis and metastatic potential. Lactate metabolism and protein lactylation are thought to play roles in NPC pathogenesis by modulating the tumor microenvironment and immune evasion. However, research specifically linking lactate-related mechanisms to NPC remains limited. This study aimed to identify lactate-associated biomarkers in NPC and explore their underlying mechanisms, with a particular focus on immune modulation and tumor progression.
methodsTo achieve these objectives, we utilized a bioinformatics approach in which publicly available gene expression datasets related to NPC were analysed. Differential expression analysis revealed differentially expressed genes (DEGs) between NPC and normal tissues. We performed weighted gene coexpression network analysis (WGCNA) to identify module genes significantly associated with NPC. Overlaps among DEGs, key module genes and lactate-related genes (LRGs) were analysed to derive lactate-related differentially expressed genes (LR-DEGs). Machine learning algorithms can be used to predict potential biomarkers, and immune infiltration analysis can be used to examine the relationships between identified biomarkers and immune cell types, particularly M0 macrophages and B cells.
resultsA total of 1,058 DEGs were identified between the NPC and normal tissue groups. From this set, 372 key module genes associated with NPC were isolated. By intersecting the DEGs, key module genes and lactate-related genes (LRGs), 17 lactate-related DEGs (LR-DEGs) were identified. Using three machine learning algorithms, this list was further refined, resulting in three primary lactate-related biomarkers: TPPP3, MUC4 and CLIC6. These biomarkers were significantly enriched in pathways related to "immune cell activation" and the "extracellular matrix environment". Additionally, M0 and B macrophages were found to be closely associated with these biomarkers, suggesting their involvement in shaping the NPC immune microenvironment.
conclusionIn summary, this study identified TPPP3, MUC4 and CLIC6 as lactate-associated clinical modelling indicators linked to NPC, providing a foundation for advancing diagnostic and therapeutic strategies for this malignancy.
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