The gene signature linked to lactate metabolism predicts the prognosis and correlates with the immune status of head and neck squamous cell carcinoma
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic model using lactate metabolism genes for head and neck squamous cell carcinoma (HNSC). The model accurately predicts survival and reveals links between lactate metabolism, tumor microenvironment, and immune suppression in HNSC.
Area Of Science
- Oncology
- Cancer Biology
- Metabolic Regulation
Background
- Lactate is a key regulator in cancer, not just a byproduct.
- Limited understanding of lactate metabolism genes in head and neck squamous cell carcinoma (HNSC).
Purpose Of The Study
- Develop a prognostic risk model for HNSC based on lactate metabolism genes.
- Enhance prediction and treatment strategies for HNSC patients.
Main Methods
- Utilized Lactate Metabolism score (LMs) from The Cancer Genome Atlas (TCGA).
- Identified five key prognostic genes and constructed a Cox regression-based risk model.
- Performed correlation analysis with tumor microenvironment features and functional enrichment analyses.
Main Results
- The prognostic model achieved AUC > 0.8 for five-year survival prediction.
- Risk scores correlated with tumor microenvironment, immune evasion, and suppression.
- Identified eight hub genes with differential expression between risk groups.
- Low-risk group showed better prognosis and enhanced immune characteristics.
Conclusions
- The lactate metabolism-based prognostic model offers superior prediction for HNSC.
- The model highlights the role of lactate metabolism in shaping the tumor microenvironment and immune response.
- Findings support potential for personalized treatment strategies targeting lactate metabolism in HNSC.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
