Chi Hao, Jiang Puyu, Xu Ke, Zhao Yue, Song Bingyu, Peng Gaoge, He Bingsheng, Liu Xin, Xia Zhijia, Tian Gang
Clinical Medical College, Southwest Medical University, Luzhou, China.
Department of Otorhinolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Genet. 2022 Aug 26;13:984273. doi: 10.3389/fgene.2022.984273. eCollection 2022.
Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive disease with a poor prognosis for advanced tumors. Anoikis play a key role in cancer metastasis, facilitating the detachment and survival of cancer cells from the primary tumor site. However, few studies have focused on the role of anoikis in HNSC, especially on the prognosis. Anoikis-related genes (ANRGs) integrated from Genecards and Harmonizome portals were used to identify HNSCC subtypes and to construct a prognostic model for HNSCC patients. Also, we explored the immune microenvironment and enrichment pathways between different subtypes. Finally, we provide clinical experts with a novel nomogram based on ANRGs, with DCA curves indicating the potential clinical benefit of the model for clinical strategies. We identified 69 survival-related HNSCC anoikis-related DEGs, from which 7 genes were selected to construct prognostic models. The prognostic risk score was identified as an independent prognostic factor. Functional analysis showed that these high and low risk groups had different immune status and drug sensitivity. Next risk scores were combined with HNSCC clinicopathological features together to construct a nomogram, and DCA analysis showed that the model could benefit patients from clinical treatment strategies. The predictive seven-gene signature and nomogram established in this study can assist clinicians in selecting personalized treatment for patients with HNSCC.
头颈部鳞状细胞癌（HNSCC）是一种侵袭性很强的疾病，晚期肿瘤预后较差。失巢凋亡在癌症转移中起关键作用，促进癌细胞从原发肿瘤部位脱离并存活。然而，很少有研究关注失巢凋亡在HNSC中的作用，尤其是对预后的影响。从Genecards和Harmonizome数据库整合的失巢凋亡相关基因（ANRGs）用于识别HNSCC亚型，并构建HNSCC患者的预后模型。此外，我们还探讨了不同亚型之间的免疫微环境和富集通路。最后，我们为临床专家提供了一种基于ANRGs的新型列线图，决策曲线分析（DCA）表明该模型对临床策略具有潜在的临床益处。我们鉴定出69个与HNSCC失巢凋亡相关的生存相关差异表达基因（DEGs），从中选择7个基因构建预后模型。预后风险评分被确定为独立的预后因素。功能分析表明，这些高风险和低风险组具有不同的免疫状态和药物敏感性。接下来，将风险评分与HNSCC临床病理特征相结合构建列线图，DCA分析表明该模型可为临床治疗策略中的患者带来益处。本研究建立的预测性七基因特征和列线图可协助临床医生为HNSCC患者选择个性化治疗方案。
