Du Kunpeng, Zou Jingwen, Wang Baiyao, Liu Chunshan, Khan Muhammad, Xie Tao, Huang Xiaoting, Shen Piao, Tian Yunhong, Yuan Yawei
Department of Radiation Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Department of Liver Surgery of the Sun Yat-sen University Cancer Center, Guangzhou, China.
Front Immunol. 2022 Jun 30;13:857934. doi: 10.3389/fimmu.2022.857934. eCollection 2022.
In the era of immunotherapy, predictive or prognostic biomarkers for head and neck squamous cell carcinoma (HNSCC) are urgently needed. Metabolic reprogramming in the tumor microenvironment (TME) is a non-negligible reason for the low therapeutic response to immune checkpoint inhibitor (ICI) therapy. We aimed to construct a metabolism-related gene prognostic index (MRGPI) for HNSCC bridging metabolic characteristics and antitumor immune cycling and identified the immunophenotype, genetic alternations, potential targeted inhibitors, and the benefit of immunotherapy in MRGPI-defined subgroups of HNSCC.
Based on The Cancer Genome Atlas (TCGA) HNSCC dataset (n = 502), metabolism-related hub genes were identified by the weighted gene co-expression network analysis (WGCNA). Seven genes were identified to construct the MRGPI by using the Cox regression method and validated with an HNSCC dataset (n = 270) from the Gene Expression Omnibus (GEO) database. Afterward, the prognostic value, metabolic activities, genetic alternations, gene set enrichment analysis (GSEA), immunophenotype, Connectivity map (cMAP), and benefit of immunotherapy in MRGPI-defined subgroups were analyzed.
The MRGPI was constructed based on , , , , , , and . Patients in the low-MRGPI group had better overall survival than those in the high-MRGPI group, consistent with the results in the GEO cohort (cutoff value = 1.01). Patients with a low MRGPI score display lower metabolic activities and an active antitumor immunity status and more benefit from immunotherapy. In contrast, a higher MRGPI score was correlated with higher metabolic activities, more TP53 mutation rate, lower antitumor immunity ability, an immunosuppressive TME, and less benefit from immunotherapy.
The MRGPI is a promising indicator to distinguish the prognosis, the metabolic, molecular, and immune phenotype, and the benefit from immunotherapy in HNSCC.
在免疫治疗时代,头颈部鳞状细胞癌(HNSCC)的预测或预后生物标志物亟待明确。肿瘤微环境(TME)中的代谢重编程是免疫检查点抑制剂(ICI)治疗反应率低的一个不可忽视的原因。我们旨在构建一个与HNSCC代谢相关的基因预后指数(MRGPI),以衔接代谢特征与抗肿瘤免疫循环,并确定MRGPI定义的HNSCC亚组中的免疫表型、基因改变、潜在靶向抑制剂以及免疫治疗的获益情况。
基于癌症基因组图谱(TCGA)HNSCC数据集(n = 502),通过加权基因共表达网络分析(WGCNA)确定与代谢相关的枢纽基因。使用Cox回归方法鉴定出7个基因构建MRGPI,并在来自基因表达综合数据库(GEO)的HNSCC数据集(n = 270)中进行验证。随后,分析MRGPI定义亚组中的预后价值、代谢活性、基因改变、基因集富集分析(GSEA)、免疫表型、连通图(cMAP)以及免疫治疗的获益情况。
MRGPI基于 、 、 、 、 、 和 构建。低MRGPI组患者的总生存期优于高MRGPI组患者,这与GEO队列中的结果一致(临界值 = 1.01)。MRGPI评分低的患者表现出较低的代谢活性和活跃的抗肿瘤免疫状态,且从免疫治疗中获益更多。相比之下,较高的MRGPI评分与较高的代谢活性、更高的TP53突变率、较低的抗肿瘤免疫能力、免疫抑制性TME以及较少的免疫治疗获益相关。
MRGPI是区分HNSCC预后、代谢、分子和免疫表型以及免疫治疗获益情况的一个有前景的指标。