Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
J Gene Med. 2024 Feb;26(2):e3670. doi: 10.1002/jgm.3670.
Head and neck squamous cell carcinoma (HNSCC) represents one of the most malignant cancers worldwide, with poor survival. Experimental evidence implies that glycolysis/hypoxia is associated with HNSCC. In this study, we aimed to construct a novel glycolysis-/hypoxia-related gene (GHRG) signature for survival prediction of HNSCC.
A multistage screening strategy was used to establish the GHRG prognostic model by univariate/least absolute shrinkage and selection operator (LASSO)/step multivariate Cox regressions from The Cancer Genome Atlas cohort. A nomogram was constructed to quantify the survival probability. Correlations between risk score and immune infiltration and chemotherapy sensitivity were explored.
We established a 12-GHRG mRNA signature to predict the prognosis in HNSCC patients. Patients in the high-risk score group had a much worse prognosis. The predictive power of the model was validated by external HNSCC cohorts, and the model was identified as an independent factor for survival prediction. Immune infiltration analysis showed that the high-risk score group had an immunosuppressive microenvironment. Finally, the model was effective in predicting chemotherapeutic sensitivity.
Our study demonstrated that the GHRG model is a robust prognostic tool for survival prediction of HNSCC. Findings of this work provide novel insights for immune infiltration and chemotherapy of HNSCC, and may be applied clinically to guide therapeutic strategies.
头颈部鳞状细胞癌（HNSCC）是全球最恶性的癌症之一，生存率较差。实验证据表明，糖酵解/缺氧与 HNSCC 有关。在这项研究中，我们旨在构建一种新的糖酵解/缺氧相关基因（GHRG）signature，用于预测 HNSCC 的生存情况。
采用多阶段筛选策略，通过单变量/最小绝对值收缩和选择算子（LASSO）/逐步多变量 Cox 回归从癌症基因组图谱队列中建立 GHRG 预后模型。构建了一个列线图来量化生存概率。探讨了风险评分与免疫浸润和化疗敏感性的相关性。
我们建立了一个 12-GHRG mRNA signature 来预测 HNSCC 患者的预后。高风险评分组的患者预后更差。该模型通过外部 HNSCC 队列进行了验证，并被确定为生存预测的独立因素。免疫浸润分析表明，高风险评分组具有免疫抑制的微环境。最后，该模型在预测化疗敏感性方面是有效的。
我们的研究表明，GHRG 模型是预测 HNSCC 生存的一种强大的预后工具。这项工作的结果为 HNSCC 的免疫浸润和化疗提供了新的见解，并可能在临床上应用于指导治疗策略。
