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鉴定与头颈部鳞状细胞癌免疫抑制和炎症相关的预后相关基因。

Identification of prognostic aging-related genes associated with immunosuppression and inflammation in head and neck squamous cell carcinoma.

机构信息

Department of Gastroenterology, The First Affiliated Hospital of University of South China, Hengyang 421001, Hunan Province, P.R. China.

Cancer Research Institute, Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, University of South China, Hengyang 421001, Hunan Province, P.R. China.

出版信息

Aging (Albany NY). 2020 Nov 24;12(24):25778-25804. doi: 10.18632/aging.104199.

Abstract

Aging is regarded as a dominant risk factor for cancer. Additionally, inflammation and asthenic immune surveillance with aging may facilitate tumor formation and development. However, few studies have comprehensively analyzed the relationship between aging-related genes (AGs) and the prognosis, inflammation and tumor immunity of head and neck squamous cell carcinoma (HNSCC). Here, we initially screened 41 differentially expressed AGs from The Cancer Genome Atlas (TCGA) database. In the training set, a prognosis risk model with seven AGs (APP, CDKN2A, EGFR, HSPD1, IL2RG, PLAU and VEGFA) was constructed and validated in the TCGA test set and the GEO set ( < 0.05). Using univariate and multivariate Cox regression analyses, we confirmed that risk score was an independent prognostic factor of HNSCC patients. In addition, a high risk score was significantly correlated with immunosuppression, and high expression of PLAU, APP and EGFR was the main factor. Furthermore, we confirmed that a high risk score was significantly associated with levels of proinflammatory factors (IL-1α, IL-1β, IL-6 and IL-8) in HNSCC samples. Thus, this risk model may serve as a prognostic signature and provide clues for individualized immunotherapy for HNSCC patients.

摘要

衰老是癌症的主要危险因素之一。此外,随着年龄的增长,炎症和虚弱的免疫监视可能会促进肿瘤的形成和发展。然而,很少有研究全面分析与衰老相关的基因(AGs)与头颈部鳞状细胞癌(HNSCC)的预后、炎症和肿瘤免疫之间的关系。在这里,我们最初从癌症基因组图谱(TCGA)数据库中筛选出 41 个差异表达的 AGs。在训练集中,构建并验证了一个包含 7 个 AGs(APP、CDKN2A、EGFR、HSPD1、IL2RG、PLAU 和 VEGFA)的预后风险模型,该模型在 TCGA 测试集和 GEO 集(<0.05)中得到验证。使用单变量和多变量 Cox 回归分析,我们证实风险评分是 HNSCC 患者的独立预后因素。此外,高风险评分与免疫抑制显著相关,PLAU、APP 和 EGFR 的高表达是主要因素。此外,我们还证实高风险评分与 HNSCC 样本中促炎因子(IL-1α、IL-1β、IL-6 和 IL-8)水平显著相关。因此,该风险模型可作为一种预后标志物,并为 HNSCC 患者的个体化免疫治疗提供线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac7/7803584/61222ca08b06/aging-12-104199-g001.jpg

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