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

被引:5
|
作者
Liu, Jia [1 ,2 ]
Chen, Binglin [1 ]
Yang, Man [2 ]
Qian, Yun [2 ]
Shen, Qian [2 ]
Chen, Hai [2 ]
Dong, Yunqiu [2 ]
Wang, Lu [1 ,2 ]
Jiao, Jiandong [1 ,2 ]
机构
[1] Nanjing Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Wuxi Ctr Dis Control & Prevent, Affiliated Wuxi Ctr Dis Control & Prevent, Dept Hlth Promot & Chron Noncommunicable Dis Contr, Wuxi, Jiangsu, Peoples R China
关键词
CIRCULATING MICRORNAS; PLASMA MICRORNAS; BIOMARKERS; BLOOD; RESISTANCE; DIAGNOSIS; SURVIVAL;
D O I
10.1038/s41598-023-31449-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:7
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