Suppr超能文献

基于自噬相关基因的头颈鳞状细胞癌患者预后指数的建立与验证

Development and validation of prognostic index based on autophagy-related genes in patient with head and neck squamous cell carcinoma.

作者信息

Feng Hao, Zhong Linna, Yang Xiangjun, Wan Qianbing, Pei Xibo, Wang Jian

机构信息

State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chengdu, 610041 China.

Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041 China.

出版信息

Cell Death Discov. 2020 Jul 14;6:59. doi: 10.1038/s41420-020-00294-y. eCollection 2020.

Abstract

Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide, accounting for almost 50% of all malignancies in developing nations. Autophagy plays a vital role in cancer initiation, malignant progression, and resistance to treatment. However, autophagy-related gene sets have rarely been analyzed in HNSCC. Hence, it is necessary to assess its clinical and pathological significance in a larger cohort of patients with HNSCC. The purpose of this study was to establish a novel autophagy-related prognostic marker for HNSCC. We screened 232 autophagy-related genes (ARGs) and identified 38 differentially expressed ARGs in The Cancer Genome Atlas (TCGA) cohorts. The prognosis-related ARGs signature, established using the univariate and multivariate Cox proportional regression models, consists of 10 ARGs that could divide patients into high-risk and low-risk groups. Survival analysis indicated that patients in the high-risk group had dramatically shorter overall survival compared with their low-risk counterparts. Cox regression analysis further confirmed the independent prognostic value of the autophagy-related signature, and the area under the receiver operating characteristic curve of the combined prognostic model was 0.722. Finally, the efficacy of autophagy-related signature was also validated by an independent cohort from the Gene Expression Omnibus (GEO) database. Collectively, we successfully constructed a novel autophagy-related signature for the prediction of prognosis in patients with HNSCC.

摘要

头颈部鳞状细胞癌(HNSCC)是全球最常见的癌症之一,在发展中国家占所有恶性肿瘤的近50%。自噬在癌症的发生、恶性进展和治疗抵抗中起着至关重要的作用。然而,自噬相关基因集在HNSCC中很少被分析。因此,有必要在更大的HNSCC患者队列中评估其临床和病理意义。本研究的目的是建立一种新的HNSCC自噬相关预后标志物。我们筛选了232个自噬相关基因(ARGs),并在癌症基因组图谱(TCGA)队列中鉴定出38个差异表达的ARGs。使用单变量和多变量Cox比例回归模型建立的预后相关ARGs特征由10个ARGs组成,可将患者分为高风险和低风险组。生存分析表明,高风险组患者的总生存期明显短于低风险组患者。Cox回归分析进一步证实了自噬相关特征的独立预后价值,联合预后模型的受试者工作特征曲线下面积为0.722。最后,自噬相关特征的有效性也通过来自基因表达综合数据库(GEO)的独立队列得到验证。总体而言,我们成功构建了一种新的自噬相关特征,用于预测HNSCC患者的预后。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验