Journal
JOURNAL OF CELLULAR PHYSIOLOGY
Volume 234, Issue 5, Pages 6519-6528Publisher
WILEY
DOI: 10.1002/jcp.27389
Keywords
biomarkers; Cox proportional hazards regression; lung squamous cell carcinoma; methylation; survival analysis
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Funding
- National Natural Science Foundation of China [81673799, 81703915]
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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.
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