Integrated analysis of methylation and transcriptome identifies a novel risk model for diagnosis, prognosis, and immune characteristics in head and neck squamous cell carcinoma.

IF 2.3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jun-Wei Zhang, Xi-Lin Gao, Sheng Li, Shuang-Hao Zhuang, Qi-Wei Liang
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引用次数: 0

Abstract

Background: DNA methylation is an important epigenetic modification that plays a crucial role in the development and progression of various tumors. However, the association between methylation‑driven genes and diagnosis, prognosis, and immune characteristics of head and neck squamous cell carcinoma (HNSCC) remains unclear.

Methods: We obtained transcriptome, methylation, and clinical data from HNSCC patients in TCGA database, and used MethylMix algorithm to identify methylation-driven genes. A methylation driven gene-related risk model was constructed using Lasso regression analysis, and validated using data from GEO database. Immune infiltration and immune function analysis of the expression profiles were conducted using ssGSEA. Differences in immune checkpoint-related genes were analyzed, and the efficacy of immunotherapy was evaluated using TCIA database. Finally, a series of cell functional experiments were conducted to validate the results.

Results: Five methylation-driven genes were identified and utilized to construct a prognostic risk model. Based on the median risk score, all patients were categorized into high-risk and low-risk groups. The K-M analysis revealed that patients in the high-risk group have a worse prognosis. Additionally, the risk model demonstrated better prognostic predictive value as indicated by ROC analysis. GSEA enrichment analysis indicated that gene sets in the high and low-risk groups were primarily enriched in pathways associated with tumor immunity and metabolism. Our subsequent investigations showed that high-risk patients exhibited more immunosuppressive phenotypes, while low-risk patients were more likely to respond positively to immunotherapy.

Conclusion: These findings of our research have the potential to improve patient stratification, guide treatment decisions, and advance the development of personalized therapies for HNSCC.

Abstract Image

甲基化和转录组的综合分析为头颈部鳞状细胞癌的诊断、预后和免疫特征确定了一个新的风险模型。
背景:DNA甲基化是一种重要的表观遗传修饰,在各种肿瘤的发生和发展过程中起着至关重要的作用。然而,甲基化驱动基因与头颈部鳞状细胞癌(HNSCC)的诊断、预后和免疫特征之间的关联仍不清楚:我们从TCGA数据库中获取了HNSCC患者的转录组、甲基化和临床数据,并使用MethylMix算法识别了甲基化驱动基因。利用 Lasso 回归分析构建了甲基化驱动基因相关风险模型,并利用 GEO 数据库的数据进行了验证。使用ssGSEA对表达谱进行了免疫浸润和免疫功能分析。分析了免疫检查点相关基因的差异,并利用 TCIA 数据库评估了免疫疗法的疗效。最后,进行了一系列细胞功能实验来验证结果:结果:发现了五个甲基化驱动基因,并利用这些基因构建了一个预后风险模型。根据中位风险评分,所有患者被分为高风险组和低风险组。K-M分析显示,高风险组患者的预后较差。此外,ROC 分析表明,风险模型具有更好的预后预测价值。GSEA富集分析表明,高危组和低危组的基因组主要富集在与肿瘤免疫和代谢相关的通路中。我们随后的研究表明,高危患者表现出更多的免疫抑制表型,而低危患者则更有可能对免疫疗法产生积极反应:我们的这些研究结果有望改善患者分层、指导治疗决策并推动 HNSCC 个性化疗法的开发。
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来源期刊
Molecular Genetics and Genomics
Molecular Genetics and Genomics 生物-生化与分子生物学
CiteScore
5.10
自引率
3.20%
发文量
134
审稿时长
1 months
期刊介绍: Molecular Genetics and Genomics (MGG) publishes peer-reviewed articles covering all areas of genetics and genomics. Any approach to the study of genes and genomes is considered, be it experimental, theoretical or synthetic. MGG publishes research on all organisms that is of broad interest to those working in the fields of genetics, genomics, biology, medicine and biotechnology. The journal investigates a broad range of topics, including these from recent issues: mechanisms for extending longevity in a variety of organisms; screening of yeast metal homeostasis genes involved in mitochondrial functions; molecular mapping of cultivar-specific avirulence genes in the rice blast fungus and more.
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