Literature DB >> 30246311

Prognostic value of aberrantly expressed methylation gene profiles in lung squamous cell carcinoma: A study based on The Cancer Genome Atlas.

Chundi Gao1, Jing Zhuang2,3, Chao Zhou2,3, Ke Ma4, Minzhang Zhao5, Cun Liu4, Lijuan Liu2,3, Huayao Li1, Fubin Feng2,3, Changgang Sun2,3.   

Abstract

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.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Cox proportional hazards regression; biomarkers; lung squamous cell carcinoma; methylation; survival analysis

Mesh:

Substances:

Year:  2018        PMID: 30246311     DOI: 10.1002/jcp.27389

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  15 in total

1.  Methylation-driven genes and their prognostic value in cervical squamous cell carcinoma.

Authors:  Jinhui Liu; Sipei Nie; Siyue Li; Huangyang Meng; Rui Sun; Jing Yang; Wenjun Cheng
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2.  Prognostic value of Iroquois homeobox 1 methylation in non-small cell lung cancers.

Authors:  Ji Yun Lee; Won Kee Lee; Jae Yong Park; Dong Sun Kim
Journal:  Genes Genomics       Date:  2020-03-21       Impact factor: 1.839

3.  Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis.

Authors:  Hongxia Ma; Lihong Tong; Qian Zhang; Wenjun Chang; Fengsen Li
Journal:  Biomed Res Int       Date:  2020-06-08       Impact factor: 3.411

4.  Identification of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas.

Authors:  Tong Lu; Di Chen; Yuanyong Wang; Xiao Sun; Shicheng Li; Shuncheng Miao; Yang Wo; Yanting Dong; Xiaoliang Leng; Wenxing Du; Wenjie Jiao
Journal:  Cancer Cell Int       Date:  2019-03-06       Impact factor: 5.722

5.  Integrative transcriptome data mining for identification of core lncRNAs in breast cancer.

Authors:  Xiaoming Zhang; Jing Zhuang; Lijuan Liu; Zhengguo He; Cun Liu; Xiaoran Ma; Jie Li; Xia Ding; Changgang Sun
Journal:  PeerJ       Date:  2019-10-07       Impact factor: 2.984

6.  Screening and identification of biomarkers associated with clinicopathological parameters and prognosis in oral squamous cell carcinoma.

Authors:  Qiqi Wu; Ruoyan Cao; Juan Chen; Xiaoli Xie
Journal:  Exp Ther Med       Date:  2019-09-11       Impact factor: 2.447

7.  Methylation‑driven genes PMPCAP1, SOWAHC and ZNF454 as potential prognostic biomarkers in lung squamous cell carcinoma.

Authors:  Qingqing Zhu; Jia Wang; Qiujing Zhang; Fuxia Wang; Lihua Fang; Bao Song; Chao Xie; Jie Liu
Journal:  Mol Med Rep       Date:  2020-01-13       Impact factor: 2.952

8.  Integrative analysis of DNA methylation-driven genes for the prognosis of lung squamous cell carcinoma using MethylMix.

Authors:  Rui Li; Yun-Hong Yin; Jia Jin; Xiao Liu; Meng-Yu Zhang; Yi-E Yang; Yi-Qing Qu
Journal:  Int J Med Sci       Date:  2020-03-05       Impact factor: 3.738

9.  Identification of methylation-driven genes related to the prognosis of papillary renal cell carcinoma: a study based on The Cancer Genome Atlas.

Authors:  Zeyu Liu; Yuxiang Wan; Ming Yang; Xuewei Qi; Zhenzhen Dong; Jinchang Huang; Jingnan Xu
Journal:  Cancer Cell Int       Date:  2020-06-12       Impact factor: 5.722

10.  PretiMeth: precise prediction models for DNA methylation based on single methylation mark.

Authors:  Jianxiong Tang; Jianxiao Zou; Xiaoran Zhang; Mei Fan; Qi Tian; Shuyao Fu; Shihong Gao; Shicai Fan
Journal:  BMC Genomics       Date:  2020-05-15       Impact factor: 3.969

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