Chang Aoshuang, Wang Yan, Guo Xiaopeng, Sun Zhen, Ling Junjun, Pan Jigang, Zhuo Xianlu
Affiliated Hospital, Guizhou Medical University, Guiyang, Guizhou, China.
Department of Respiratory Medicine, Xinqiao Hospital, Army Medical University, Chongqing, China.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2023 Oct;136(4):478-489. doi: 10.1016/j.oooo.2023.07.003. Epub 2023 Jul 11.
Increasing evidence indicates that the immune response plays a critical role in the development of head and neck cancer (HNC). We aimed to develop an immune-related gene signature and evaluate its prognostic value in patients with HNC.
We retrieved an HNC cohort from The Cancer Genome Atlas database and divided the samples into high-risk and low-risk groups based on the median of the immune and stromal scores. We performed Venn and Cox analyses to identify the immune-related DEGs to use in our prognostic model. We evaluated the correlation between the model and immune-cell infiltration and validated the prognostic value of the model by applying it to 2 external HNC cohorts.
We identified 7 DEGs-CCR4, WDFY4, VCAM1, LYZ, VSIG4, XIRP1, and CMKLR1-to use in our prognostic model and validated the model by applying it to 2 external HNC cohorts. We found that risk scores based on the model could reflect the status of the tumor microenvironment and that VSIG4 might be associated with lymph node metastasis in HNC.
We developed a highly accurate immune-related prognostic 7-gene model in HNC predication, indicating that these 7 genes play critical roles in the tumor microenvironment.
越来越多的证据表明，免疫反应在头颈癌（HNC）的发生发展中起关键作用。我们旨在开发一种免疫相关基因特征，并评估其在HNC患者中的预后价值。
我们从癌症基因组图谱数据库中检索了一个HNC队列，并根据免疫和基质评分的中位数将样本分为高风险组和低风险组。我们进行了Venn分析和Cox分析，以确定用于我们预后模型的免疫相关差异表达基因（DEG）。我们评估了模型与免疫细胞浸润之间的相关性，并通过将其应用于2个外部HNC队列来验证模型的预后价值。
我们确定了7个DEG——CCR4、WDFY4、VCAM1、LYZ、VSIG4、XIRP1和CMKLR1——用于我们的预后模型，并通过将其应用于2个外部HNC队列来验证该模型。我们发现基于该模型的风险评分可以反映肿瘤微环境的状态，并且VSIG4可能与HNC中的淋巴结转移有关。
我们在HNC预测中开发了一种高度准确的免疫相关预后7基因模型，表明这7个基因在肿瘤微环境中起关键作用。
