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头颈部鳞状细胞癌中的基因表达谱分析与通路分析:聚焦于二硫化物诱导的细胞程序性坏死

Gene expression profiling and pathway analysis in head and neck squamous cell carcinoma: focus on disulfidptosis.

作者信息

Tong Yajun, Bai Site, Ou Ludi, Zhou Qiang, Liu Songlian, Yin Leilan, Tang Kewei, Long Ling, Yin Qinghua

机构信息

Department of Oncology, Yueyang Central Hospital, Hunan Province, Yueyang City, China.

出版信息

Discov Oncol. 2025 Apr 18;16(1):556. doi: 10.1007/s12672-025-02344-2.

Abstract

This study aimed to characterize the prognostic and therapeutic implications of disulfidptosis-related genes (DRGs) in head and neck squamous cell carcinoma (HNSCC). Using multi-omics data from the Cancer Genome Atlas (TCGA) (n = 500) and Gene Expression Omnibus (GEO) cohorts (n = 270), we performed unsupervised consensus clustering, functional enrichment, immune deconvolution, and survival analyses to identify DRG-driven molecular subtypes. A disulfidptosis score (DRGscore) was developed via principal component analysis of prognosis-associated genes and validated across immunotherapy cohorts. Key results revealed eight DRGs with prognostic significance (P < 0.05), including RAC1 and SLC7A11, which form interaction networks linked to redox regulation and immune evasion. Four DRGclusters stratified patients into subgroups with distinct survival outcomes (P = 0.002), immune profiles, and pathway activities. DRGscore effectively predicted survival (P < 0.001), immunotherapy response (anti-PD1/PD-L1 cohorts: P = 0.0099-0.018), and drug sensitivity (A443654 IC50 = 0.12 μM vs. AICAR = 8.3 μM). Mutational profiling identified TP53 and MUC16 as high-risk biomarkers. These findings establish DRGscore as a robust prognostic tool integrating disulfidptosis biology and immune contexture, enabling risk-stratified therapeutic strategies for HNSCC.

摘要

本研究旨在表征二硫化物诱导细胞程序性坏死相关基因(DRGs)在头颈部鳞状细胞癌(HNSCC)中的预后及治疗意义。利用来自癌症基因组图谱(TCGA)(n = 500)和基因表达综合数据库(GEO)队列(n = 270)的多组学数据,我们进行了无监督一致性聚类、功能富集、免疫反卷积和生存分析,以确定由DRGs驱动的分子亚型。通过对预后相关基因进行主成分分析得出二硫化物诱导细胞程序性坏死评分(DRGscore),并在免疫治疗队列中进行了验证。关键结果显示,有8个DRGs具有预后意义(P < 0.05),包括RAC1和SLC7A11,它们形成了与氧化还原调节和免疫逃逸相关的相互作用网络。4个DRG簇将患者分为具有不同生存结果(P = 0.002)、免疫特征和通路活性的亚组。DRGscore能有效预测生存(P < 0.001)、免疫治疗反应(抗PD1/PD-L1队列:P = 0.0099 - 0.018)和药物敏感性(A443654的IC50 = 0.12 μM,而AICAR为8.3 μM)。突变谱分析确定TP53和MUC16为高危生物标志物。这些发现确立了DRGscore作为一种整合二硫化物诱导细胞程序性坏死生物学和免疫微环境的强大预后工具,可为HNSCC制定风险分层治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a8/12006595/b112dad3a4d8/12672_2025_2344_Fig1_HTML.jpg

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