DNA methylation analysis of SCD2, SEPT9 and VIM genes for the early detection of colorectal cancer in fecal DNA

Author:

Liu Yue1,Ming Hongbo1,Xu Lizhi1,Li Lizhen1,Liu Qi1,Zhao Jinyin1,Zhong Cundi2,Li Hongzhi1

Affiliation:

1. Dalian Gentalker Bio-tech CO., LTD

2. The Second Affiliated Hospital of Dalian Medical University

Abstract

Abstract

Background Colorectal cancer (CRC) is one of the most common cancers worldwide, with increasing mortality and morbidity. DNA methylation sites may serve as a new genes signature for early diagnosis. The search for representative DNA methylation sites is urgently needed. This study aimed to systematically identify a methylation gene panel for CRC using tissue and fecal samples. Methods A total of 181 fecal and 50 tumor tissue samples were collected. They were obtained from 83 CRC patients and 98 healthy subjects. These samples were evaluated for DNA methylation analyzing of 9 target genes by quantitative bisulfite next-generation sequencing. We employed the Rank-sum test to screen the CRC-specific methylation sites in the tissue and stool cohort. Subsequently, a data model was constructed and validated using the dedicated validation dataset. Results For all the selected gene sites, CRC tissue samples showed significantly higher methylation rates than fecal and negative controls samples. Methylation rates of tissue and preoperative fecal samples showed the same high and low rates at the same sites. After screening, a panel of 29 locus in the genes SCD2, SEPT9, and VIM proved a reliable biomarker for CRC detection in fecal samples. Logistic regression models were then constructed and validated using this panel. Sensitivity of the model is 91.43% (95% CI=[89.69, 93.17]) and specificity is 100% (95% CI=[100,100]). This confirms the validity of the screened panel to effectively detect CRC via feces. Conclusions Our study identifies a set of key methylation sites for the detection of CRC from fecal samples, highlighting the significance of using tissue and fecal samples to accurately assess DNA methylation levels to screen for methylation sites and developing an effective model for early detection of CRC.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3