Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma

作者：Xuechen Wu, Boxin Liu, Shi‐Zhou Deng, Tengteng Xiong, Lin Dai, Bo Cheng · 发表于：BMC Oral Health · 年份：2025 · DOI：10.1186/s12903-024-05279-2 · 被引用次数：5 · 研究领域：Ferroptosis and cancer prognosis、Cancer Immunotherapy and Biomarkers、Head and Neck Cancer Studies

BACKGROUND: Establishing a prognostic risk model based on immunological and disulfidptosis signatures enables precise prognosis prediction of oral squamous cell carcinoma (OSCC). METHODS: Differentially expressed immune and disulfidptosis genes were identified in OSCC and normal tissues. We examined the model's clinical applicability and its relationship to immune cell infiltration. Additionally, the risk score, ssGSEA, ESTIMATE, and CIBERSORT were used to evaluate the intrinsic molecular subtypes, immunological checkpoints, abundances of tumor-infiltrating immune cell types and proportions between the two risk groups. GO-KEGG and GSVA analyses were performed to identify enriched pathways. RESULTS: We analyzed the correlation immune genes based on the 14 disulfidptosis-related genes, and found 379 disulfidptosis-related immune genes (DRIGs). After univariate Cox regression we obtained 30 DRIGs and least absolute shrinkage and selection operator (LASSO) regression to reduce the number of genes to 16. Finally we created a nine-DRIGs risk model, of which four were upregulated and five were downregulated. The analysis results showed that disulfidptosis was tightly related to immune cells, immunological-related pathways, the tumor microenvironment (TME), immune checkpoints, human leukocyte antigen (HLA), and tumor mutational burden (TMB). The nomogram, integrating the risk score and clinical factors, accurately predicted overall survival. CONCLUSIONS: This novel risk model highlig...