Author:
Yang Xin,Wen Xiaofeng,Guo Qin,Zhang Yunfeng,Liang Zhenxing,Wu Qian,Li Zhihao,Ruan Weimei,Ye Zhujia,Wang Hong,Chen Zhiwei,Fan Jian-Bing,Lan Ping,Liu Huashan,Wu Xianrui
Abstract
Abstract
Background
Recurrence represents a well-known poor prognostic factor for colorectal cancer (CRC) patients. This study aimed to establish an effective prognostic prediction model based on noninvasive circulating tumor DNA methylation markers for CRC patients receiving radical surgery.
Results
Two methylation markers (cg11186405 and cg17296166) were identified by Cox regression and receiver operating characteristics, which could classify CRC patients into high recurrence risk and low recurrence risk group. The 3-year disease-free survival was significantly different between CRC patients with low and high recurrence risk [Training set: hazard ratio (HR) 28.776, 95% confidence interval (CI) 3.594–230.400; P = 0.002; Validation set: HR 7.796, 95% CI 1.425–42.660, P = 0.018]. The nomogram based on the above two methylation markers and TNM stage was established which demonstrated robust prognostic prediction potential, as evidenced by the decision curve analysis result.
Conclusions
A cell-free DNA methylation model consisting of two DNA methylation markers is a promising method for prognostic prediction in CRC patients.
Funder
National Key Clinical Discipline
the program of Guangdong Provincial Clinical Research Center for Digestive Diseases
National Key Research and Development Program of China
Key-Area Research and Development Program of Guangdong Province
Scheme of Guangzhou Economic and Technological Development District for Leading Talents in Innovation and Entrepreneurship
Scheme of Guangzhou for Leading Talents in Innovation and Entrepreneurship
Scheme of Guangzhou for Leading Team in Innovation
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Science and Technology Planning Project of Guangdong Province
Science and Technology Planning Project of Guangzhou City
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Developmental Biology,Genetics,Molecular Biology
Cited by
2 articles.
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