资源类型:
期刊
WOS体系:
Article
Pubmed体系:
Journal Article;Research Support, Non-U.S. Gov't
收录情况:
◇ SCIE
文章类型:
论著
作者:
Deng, Yao[1]
*
;
Wan, Hao[1]
;
Tian, Jianbo[1]
;
Cheng, Xiang[3]
;
Rao, Meilin[1]
;
Li, Jiaoyuan[4]
;
Zhang, Hongli[1]
;
Zhang, Ming[1]
;
Cai, Yimin[1]
;
Lu, Zequn[1]
;
Li, Yue[1]
;
Niu, Siyuan[1]
;
Shen, Na[4]
;
Chang, Jiang[1]
;
Fang, Zemin[5]
;
Zhong, Rong[1,2]
;
单位:
[1]Huazhong Univ Sci & Technol, Sch Publ Hlth, Dept Epidemiol & Biostat, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
[2]Huazhong Univ Sci & Technol, Sch Publ Hlth, Key Lab Environm & Hlth, Tongji Med Coll,Minist Educ, Wuhan 430030, Hubei, Peoples R China
[3]Huazhong Univ Sci & Technol, Union Hosp, Dept Hepatobiliary Surg, Tongji Med Coll, Wuhan 430022, Peoples R China
华中科技大学同济医学院附属协和医院
[4]Huazhong Univ Sci & Technol,Tongji Hosp,Dept Lab Med,Tongji Med Coll,Wuhan 430030,Peoples R China
华中科技大学同济医学院附属同济医院
检验科
[5]Huazhong Univ Sci & Technol,Tongji Hosp,Div Cardiothorac & Vasc Surg,Tongji Med Coll,Wuhan 430030,Peoples R China
华中科技大学同济医学院附属同济医院
外科学系
心脏大血管外科
ISSN:
1750-1911
关键词:
biomarkers
colorectal cancer
CpG sites
epigenetics
methylation
prognosis
progression-free interval
摘要:
Aim: To identify patients with colorectal cancer (CRC) who are at a truly higher risk of progression, which is key for individualized approaches to precision therapy. Materials & methods: We developed a predictor associated with progression-free interval (PFI) using The Cancer Genome Atlas CRC methylation data. Results: The risk score was associated with PFI in the whole cohort (p < 0.001). A nomogram consisting of the risk score and other significant clinical features was generated to predict the 3- and 5-year PFI in the whole set (area under the curve: 0.79 and 0.71, respectively). Conclusion: The risk score based on 23 DNA-methylation sites may serve as the basis for improved prediction of progression in patients with CRC in future clinical practice.
被引次数:
11
WOS:
WOS:000569914400005
PubmedID:
32180433
中科院(CAS)分区:
出版当年[2019]版:
大类
|
2 区
医学
小类
|
2 区
遗传学
最新[2025]版:
大类
|
4 区
医学
小类
|
4 区
遗传学
JCR分区:
出版当年[2018]版:
Q1
GENETICS & HEREDITY
最新[2023]版:
Q2
GENETICS & HEREDITY
影响因子:
3
最新[2023版]
3.4
最新五年平均
4.404
出版当年[2018版]
4.855
出版当年五年平均
4.979
出版前一年[2017版]
4.112
出版后一年[2019版]
第一作者:
Deng, Yao
第一作者单位:
[1]Huazhong Univ Sci & Technol, Sch Publ Hlth, Dept Epidemiol & Biostat, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
通讯作者:
Fang, Zemin;Zhong, Rong
通讯机构:
[1]Huazhong Univ Sci & Technol, Sch Publ Hlth, Dept Epidemiol & Biostat, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
[2]Huazhong Univ Sci & Technol, Sch Publ Hlth, Key Lab Environm & Hlth, Tongji Med Coll,Minist Educ, Wuhan 430030, Hubei, Peoples R China
推荐引用方式(GB/T 7714):
Deng Yao,Wan Hao,Tian Jianbo,et al.CpG-methylation-based risk score predicts progression in colorectal cancer[J].EPIGENOMICS.2020,12(7):605-615.doi:10.2217/epi-2019-0300.
APA:
Deng, Yao,Wan, Hao,Tian, Jianbo,Cheng, Xiang,Rao, Meilin...&Zhong, Rong.(2020).CpG-methylation-based risk score predicts progression in colorectal cancer.EPIGENOMICS,12,(7)
MLA:
Deng, Yao,et al."CpG-methylation-based risk score predicts progression in colorectal cancer".EPIGENOMICS 12..7(2020):605-615