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

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‒contro...

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Autores principales: Liu, Jia, Chen, Binglin, Yang, Man, Qian, Yun, Shen, Qian, Chen, Hai, Dong, Yunqiu, Wang, Lu, Jiao, Jiandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014991/
https://www.ncbi.nlm.nih.gov/pubmed/36918702
http://dx.doi.org/10.1038/s41598-023-31449-3
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author Liu, Jia
Chen, Binglin
Yang, Man
Qian, Yun
Shen, Qian
Chen, Hai
Dong, Yunqiu
Wang, Lu
Jiao, Jiandong
author_facet Liu, Jia
Chen, Binglin
Yang, Man
Qian, Yun
Shen, Qian
Chen, Hai
Dong, Yunqiu
Wang, Lu
Jiao, Jiandong
author_sort Liu, Jia
collection PubMed
description 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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spelling pubmed-100149912023-03-16 A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study Liu, Jia Chen, Binglin Yang, Man Qian, Yun Shen, Qian Chen, Hai Dong, Yunqiu Wang, Lu Jiao, Jiandong Sci Rep Article 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. Nature Publishing Group UK 2023-03-14 /pmc/articles/PMC10014991/ /pubmed/36918702 http://dx.doi.org/10.1038/s41598-023-31449-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Jia
Chen, Binglin
Yang, Man
Qian, Yun
Shen, Qian
Chen, Hai
Dong, Yunqiu
Wang, Lu
Jiao, Jiandong
A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title_full A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title_fullStr A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title_full_unstemmed A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title_short A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study
title_sort three-plasma mirna panel predicts the risk of colorectal cancer: a community-based nested case‒control study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014991/
https://www.ncbi.nlm.nih.gov/pubmed/36918702
http://dx.doi.org/10.1038/s41598-023-31449-3
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