ArticleScientific reports2023
A three-plasma miRNA panel predicts the risk of colorectal cancer: a community-based nested case‒control study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- MicroRNAs and Other Small RNAs in Liquid Biopsies as Biomarkers for Early Detection of Colorectal Cancer.International journal of molecular sciences · 2026Review
- MicroRNAs in endometriosis: bioinformatics resources, machine learning strategies, and multi-omics perspectives.Journal of translational medicine · 2026Review
- An Insight into the Emerging Role of Extracellular Vesicle-derived Noncoding RNAs in Colorectal Cancer.MicroRNA (Shariqah, United Arab Emirates) · 2026Review
- MicroRNAs in colorectal cancer: A comparative analysis of circulating and tissue microRNA levels.World journal of gastrointestinal oncology · 2025Article
- Comprehensive evaluation and progress of colorectal cancer screening methods.Gut pathogens · 2025Review
- MiR-145 encapsulated small extracellular vesicles inhibit colorectal cancer progression by downregulating fascin actin-bundling protein 1 expression.Stem cell research & therapy · 2025Article
- Plant miRNAs for Improved Gene Regulation in a Wide Range of Human Cancers.Current issues in molecular biology · 2025Article
- Recent Technologies towards Diagnostic and Therapeutic Applications of Circulating Nucleic Acids in Colorectal Cancers.International journal of molecular sciences · 2024Review
- Pathogenesis and biomarkers of colorectal cancer by epigenetic alteration.Intestinal research · 2024Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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