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A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction
Circulating microRNAs (miRNAs) could improve colorectal cancer (CRC) risk prediction. Here, we derive a blood-based miRNA panel and evaluate its ability to predict CRC occurrence in a population-based cohort of adults aged 50–75 years. Forty-one miRNAs are preselected from independent studies and me...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355103/ https://www.ncbi.nlm.nih.gov/pubmed/34376648 http://dx.doi.org/10.1038/s41467-021-25067-8 |
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author | Raut, Janhavi R. Schöttker, Ben Holleczek, Bernd Guo, Feng Bhardwaj, Megha Miah, Kaya Schrotz-King, Petra Brenner, Hermann |
author_facet | Raut, Janhavi R. Schöttker, Ben Holleczek, Bernd Guo, Feng Bhardwaj, Megha Miah, Kaya Schrotz-King, Petra Brenner, Hermann |
author_sort | Raut, Janhavi R. |
collection | PubMed |
description | Circulating microRNAs (miRNAs) could improve colorectal cancer (CRC) risk prediction. Here, we derive a blood-based miRNA panel and evaluate its ability to predict CRC occurrence in a population-based cohort of adults aged 50–75 years. Forty-one miRNAs are preselected from independent studies and measured by quantitative-real-time-polymerase-chain-reaction in serum collected at baseline of 198 participants who develop CRC during 14 years of follow-up and 178 randomly selected controls. A 7-miRNA score is derived by logistic regression. Its predictive ability, quantified by the optimism-corrected area-under-the-receiver-operating-characteristic-curve (AUC) using .632+ bootstrap is 0.794. Predictive ability is compared to that of an environmental risk score (ERS) based on known risk factors and a polygenic risk score (PRS) based on 140 previously identified single-nucleotide-polymorphisms. In participants with all scores available, optimism-corrected-AUC is 0.802 for the 7-miRNA score, while AUC (95% CI) is 0.557 (0.498–0.616) for the ERS and 0.622 (0.564–0.681) for the PRS. |
format | Online Article Text |
id | pubmed-8355103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83551032021-08-30 A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction Raut, Janhavi R. Schöttker, Ben Holleczek, Bernd Guo, Feng Bhardwaj, Megha Miah, Kaya Schrotz-King, Petra Brenner, Hermann Nat Commun Article Circulating microRNAs (miRNAs) could improve colorectal cancer (CRC) risk prediction. Here, we derive a blood-based miRNA panel and evaluate its ability to predict CRC occurrence in a population-based cohort of adults aged 50–75 years. Forty-one miRNAs are preselected from independent studies and measured by quantitative-real-time-polymerase-chain-reaction in serum collected at baseline of 198 participants who develop CRC during 14 years of follow-up and 178 randomly selected controls. A 7-miRNA score is derived by logistic regression. Its predictive ability, quantified by the optimism-corrected area-under-the-receiver-operating-characteristic-curve (AUC) using .632+ bootstrap is 0.794. Predictive ability is compared to that of an environmental risk score (ERS) based on known risk factors and a polygenic risk score (PRS) based on 140 previously identified single-nucleotide-polymorphisms. In participants with all scores available, optimism-corrected-AUC is 0.802 for the 7-miRNA score, while AUC (95% CI) is 0.557 (0.498–0.616) for the ERS and 0.622 (0.564–0.681) for the PRS. Nature Publishing Group UK 2021-08-10 /pmc/articles/PMC8355103/ /pubmed/34376648 http://dx.doi.org/10.1038/s41467-021-25067-8 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raut, Janhavi R. Schöttker, Ben Holleczek, Bernd Guo, Feng Bhardwaj, Megha Miah, Kaya Schrotz-King, Petra Brenner, Hermann A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title | A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title_full | A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title_fullStr | A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title_full_unstemmed | A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title_short | A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
title_sort | microrna panel compared to environmental and polygenic scores for colorectal cancer risk prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355103/ https://www.ncbi.nlm.nih.gov/pubmed/34376648 http://dx.doi.org/10.1038/s41467-021-25067-8 |
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