The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China.
Department of Oral Medicine, School, and Hospital of Stomatology, Wuhan University, Wuhan, China.
Comb Chem High Throughput Screen. 2022;25(11):1952-1965. doi: 10.2174/1386207325666211207154436.
The occurrence of oxidative stress is an important hallmark of tumorigenesis and the development of cancers, including head and neck squamous cell carcinoma (HNSCC). The purpose of this study was to identify a robust oxidative stress-related prognostic model in HNSCC.
Oxidative stress genes related to the prognosis of HNSCC were identified through multiple bioinformatics methods.
The expression profile of differential genes related to oxidative stress and functional enrichment analysis were obtained from the HNSCC cohort of The Cancer Genome Atlas (TCGAHNSC). Then, the HNSCC prognostic risk model was constructed of thirteen screened genes through univariate Cox analysis, the least absolute shrinkage and selection operator (LASSO) Cox regression, and multivariate Cox analysis. Kaplan-Meier curve indicated that the low-risk group had a better survival outcome than the high-risk group. The clinical utility of the risk model was validated in the GSE41613 dataset. The risk score was an independent prognostic indicator in the training and validation sets. In addition, the risk score was in a positive correlation with tumor stage, lymph node infiltration, and the status of the primary site. Gene set enrichment analysis (GSEA) illustrated that many biological processes associated with immunity were significantly enriched in the low-risk group of the training cohort.
The oxidative stress-related risk signature was a promising predictor for the prognosis of HNSCC patients, which might assist in making individualized therapy programs.
氧化应激的发生是肿瘤发生和癌症发展的一个重要标志，包括头颈部鳞状细胞癌（HNSCC）。本研究的目的是确定 HNSCC 中与氧化应激相关的稳健预后模型。
通过多种生物信息学方法鉴定与 HNSCC 预后相关的氧化应激相关基因。
从癌症基因组图谱（TCGAHNSC）的 HNSCC 队列中获得了与氧化应激相关的差异基因的表达谱和功能富集分析。然后，通过单因素 Cox 分析、最小绝对收缩和选择算子（LASSO）Cox 回归和多因素 Cox 分析，构建了十三筛选基因的 HNSCC 预后风险模型。Kaplan-Meier 曲线表明，低风险组的生存结果优于高风险组。风险模型的临床实用性在 GSE41613 数据集得到了验证。该风险评分是训练集和验证集中独立的预后指标。此外，风险评分与肿瘤分期、淋巴结浸润和原发部位状态呈正相关。基因集富集分析（GSEA）表明，在训练队列的低风险组中，许多与免疫相关的生物学过程显著富集。
氧化应激相关风险特征是预测 HNSCC 患者预后的有前途的指标，可能有助于制定个体化治疗方案。
