Identification of a novel necroptosis-associated miRNA signature for predicting the prognosis in head and neck squamous cell carcinoma.

IF 1.6
Open medicine (Warsaw, Poland) Pub Date : 2022-10-25 eCollection Date: 2022-01-01 DOI:10.1515/med-2022-0575
Jiezhong Guan, Xinyu Liu, Kang Wang, Yiqun Jia, Bo Yang
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引用次数: 2

Abstract

Head and neck squamous cell carcinoma (HNSCC) is one of the most aggressive malignancies that have a poor prognosis. Necroptosis has been demonstrated in recent years to be a form of inflammatory cell death occurring in multicellular organism, which plays complex roles in cancer. However, the expression of necroptosis-related miRNAs and genes in HNSCC and their correlations with prognosis remain unclear. In this study, R software was used to screen differentially expressed miRNAs downloaded from The Cancer Genome Atlas. A prognostic model containing six necroptosis-related miRNAs (miR-141-3p, miR-148a-3p, miR-331-3p, miR-543, miR-425-5p, and miR-7-5p) was generated, whose risk score was validated as an independent prognostic factor for HNSCC. Target genes of the key miRNAs were obtained from TargetScan, miRDB, and miRTarBase, and 193 genes in the intersection of the three databases were defined as consensus genes. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses indicated that the composition of the tumor microenvironment as well as specific pathways may be closely related to necroptosis in HNSCC. Nine key genes were also obtained by the MCODE and cytoHubba plug-ins of Cytoscape: PIK3CD, NRAS, PTK2, IRS2, IRS1, PARP1, KLF4, SMAD2, and DNMT1. A prognostic model formed by the key gene was also established, which can efficiently predict the overall survival of HNSCC patients. In conclusion, necroptosis-related miRNAs and genes play important roles in tumor development and metastasis and can be used to predict the prognosis of HNSCC.

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一种新的预测头颈部鳞状细胞癌预后的坏死相关miRNA特征的鉴定。
头颈部鳞状细胞癌(HNSCC)是最具侵袭性的恶性肿瘤之一,预后较差。近年来,坏死性上睑下垂已被证明是多细胞生物中发生的一种炎症细胞死亡形式,在癌症中起着复杂的作用。然而,坏死相关的mirna和基因在HNSCC中的表达及其与预后的关系尚不清楚。在本研究中,使用R软件筛选从The Cancer Genome Atlas下载的差异表达mirna。建立了包含6种坏死相关mirna (miR-141-3p, miR-148a-3p, miR-331-3p, miR-543, miR-425-5p和miR-7-5p)的预后模型,其风险评分被验证为HNSCC的独立预后因素。从TargetScan、miRDB和miRTarBase中获取关键mirna的靶基因,将三个数据库交集的193个基因定义为共识基因。京都基因基因组百科和基因本体论分析表明,肿瘤微环境的组成和特定途径可能与HNSCC坏死性坏死密切相关。通过Cytoscape的MCODE和cytoHubba插件还获得了9个关键基因:PIK3CD、NRAS、PTK2、IRS2、IRS1、PARP1、KLF4、SMAD2和DNMT1。建立了由该关键基因组成的预后模型,该模型能够有效预测HNSCC患者的总生存期。综上所述,坏死相关mirna及基因在HNSCC的发生、转移过程中发挥重要作用,可用于预测HNSCC的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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