标题：Prognostic value of aberrantly expressed methylation gene profiles in lung squamous cell carcinoma: A study based on The Cancer Genome Atlas
作者：Gao, Chundi; Zhuang, Jing; Zhou, Chao; Ma, Ke; Zhao, Minzhang; Liu, Cun; Liu, Lijuan; Li, Huayao; Feng, Fubin; Sun, Changgang
作者机构：[Gao, Chundi; Li, Huayao] Shandong Univ Tradit Chinese Med, Coll Clin Med 1, Jinan, Shandong, Peoples R China.; [Zhuang, Jing; Zhou, Chao; Liu, Liju 更多
通讯作者地址：[Sun, CG]Weifang Tradit Chinese Hosp, Dept Oncol, Weifang 261041, Peoples R China.
来源：JOURNAL OF CELLULAR PHYSIOLOGY
关键词：biomarkers; Cox proportional hazards regression; lung squamous cell; carcinoma; methylation; survival analysis
摘要：Currently, research on genome-scale epigenetic modifications for studying the pathogenesis of lung cancer is lacking. Aberrant DNA methylation, as the most common and important modification in epigenetics, is an important means of regulating genomic function and can be used as a biomarker for the diagnosis and prognosis of lung squamous cell carcinoma (LUSC). In this paper, methylation information and gene expression data from patients with LUSC were extracted from the TCGA database. Univariate and multivariate COX analyses were used to screen abnormally methylated genes related to the prognosis of LUSC. The relationship between key DNA methylation sites and the transcriptional expression of LUSC-related genes was explored. A prognostic risk model constructed by four abnormally methylated genes (VAX1, CH25H, AdCyAP1, and Irx1) was used to predict the prognosis of LUSC patients. Also, the methylation levels of the key gene IRX1 are significantly correlated with the prognosis and correlated with the methylation of the site cg09232937 and cg10530883. This study is based on high-throughput data mining and provides an effective bioinformatics basis for further understanding the pathogenesis and prognosis of LUSC, which has important theoretical significance for follow-up studies on LUSC.