Home > Publications database > A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction. > print |
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100 | 1 | _ | |a Raut, Janhavi |0 P:(DE-He78)43ea0369702f56d45fa4a32df9f49aca |b 0 |e First author |u dkfz |
245 | _ | _ | |a A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction. |
260 | _ | _ | |a [London] |c 2021 |b Nature Publishing Group UK |
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520 | _ | _ | |a 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. |
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700 | 1 | _ | |a Schöttker, Ben |0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 |b 1 |u dkfz |
700 | 1 | _ | |a Holleczek, Bernd |b 2 |
700 | 1 | _ | |a Guo, Feng |0 P:(DE-He78)0311ebf3415e41860b4e2c56fbae6919 |b 3 |u dkfz |
700 | 1 | _ | |a Bhardwaj, Megha |0 P:(DE-He78)ac7aed57f26354e8a484b5d257f7bada |b 4 |u dkfz |
700 | 1 | _ | |a Miah, Kaya |0 P:(DE-He78)b97fc5666ea8f9db9ef499de6b2397cf |b 5 |u dkfz |
700 | 1 | _ | |a Schrotz-King, Petra |0 P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86 |b 6 |u dkfz |
700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 7 |e Last author |u dkfz |
773 | _ | _ | |a 10.1038/s41467-021-25067-8 |g Vol. 12, no. 1, p. 4811 |0 PERI:(DE-600)2553671-0 |n 1 |p 4811 |t Nature Communications |v 12 |y 2021 |x 2041-1723 |
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