A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study

结直肠癌 接收机工作特性 套式病例对照研究 肿瘤科 逻辑回归 小RNA 医学 生物标志物 人口 癌症 病例对照研究 内科学 生物信息学 生物 遗传学 基因 环境卫生
作者
Jia Liu,Binglin Chen,Man Yang,Yun Qian,Qian Shen,Hai Chen,Yunqiu Dong,Lu Wang,Jiandong Jiao
出处
期刊:Scientific Reports [Springer Nature]
卷期号:13 (1) 被引量:6
标识
DOI:10.1038/s41598-023-31449-3
摘要

Abstract Circulating microRNAs (miRNAs) have been considered potential markers for the early detection of malignant colorectal cancer (CRC). We aimed to identify a group of miRNAs for the early detection of CRC and assess their predictive ability in a community-based population in China. A nested case‒control study consisting of 97 incident colorectal cancer cases and 103 frequency-matched healthy controls was conducted. The data were randomly assigned into a training set (60%) and a test set (40%). We selected and detected 10 kinds of miRNAs in plasma samples. Multivariate logistic regression analysis was used to identify miRNAs associated with colorectal cancer risk in the training set and test set. Then, we evaluated the predictive ability of the identified miRNAs by the receiver operating characteristic curve (ROC). In this study, three miRNAs (miRNA-29a, miRNA-125b, miRNA-145) were significantly associated with colorectal cancer risk in both the training set and test set. The sensitivity of the identified miRNAs ranged from 0.854 to 0.961. After adding the identified miRNAs, the AUC (area under the curve) value significantly increased from 0.61 to 0.71 compared with the basic model consisting of only basic demographic information. We identified a three-plasma miRNA signature that may serve as a novel non-invasive biomarker in early CRC detection and in predicting individual CRC risk in the generation population.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dengqin完成签到 ,获得积分10
刚刚
Meggy发布了新的文献求助10
2秒前
2秒前
万能图书馆应助eve采纳,获得10
3秒前
cocolu应助YYYY采纳,获得10
4秒前
丘比特应助张烽采纳,获得10
4秒前
5秒前
思源应助wjx采纳,获得10
5秒前
ding应助wjx采纳,获得30
5秒前
情怀应助wjx采纳,获得10
5秒前
bkagyin应助wjx采纳,获得10
5秒前
天天快乐应助wjx采纳,获得30
5秒前
打打应助wjx采纳,获得10
5秒前
李爱国应助wjx采纳,获得10
5秒前
wanci应助wjx采纳,获得10
5秒前
传奇3应助小新小新采纳,获得10
5秒前
7秒前
Owen应助云yun采纳,获得10
7秒前
8秒前
wenwen完成签到 ,获得积分10
8秒前
276860完成签到,获得积分10
8秒前
科研通AI2S应助nancy wang采纳,获得10
9秒前
9秒前
白白发布了新的文献求助10
9秒前
10秒前
11秒前
12秒前
13秒前
sakura完成签到,获得积分10
13秒前
13秒前
恰饭完成签到,获得积分10
14秒前
曾小莹完成签到,获得积分10
15秒前
mhl11应助禹听白采纳,获得10
16秒前
YYYY完成签到,获得积分10
16秒前
所所应助易安采纳,获得10
16秒前
溪影发布了新的文献求助10
16秒前
16秒前
跳跃毒娘发布了新的文献求助10
16秒前
qq78910发布了新的文献求助10
16秒前
prosperp给luo的求助进行了留言
16秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3304792
求助须知:如何正确求助?哪些是违规求助? 2938738
关于积分的说明 8489795
捐赠科研通 2613236
什么是DOI,文献DOI怎么找? 1427209
科研通“疑难数据库(出版商)”最低求助积分说明 662907
邀请新用户注册赠送积分活动 647557