Author
Listed:
- Janhavi R. Raut
(German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)
University of Heidelberg)
- Ben Schöttker
(German Cancer Research Center (DKFZ)
University of Heidelberg)
- Bernd Holleczek
(Saarland Cancer Registry)
- Feng Guo
(University of Heidelberg
German Cancer Research Center (DKFZ))
- Megha Bhardwaj
(German Cancer Research Center (DKFZ))
- Kaya Miah
(German Cancer Research Center (DKFZ))
- Petra Schrotz-King
(German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT))
- Hermann Brenner
(German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)
German Cancer Research Center (DKFZ)
German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ))
Abstract
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.
Suggested Citation
Janhavi R. Raut & Ben Schöttker & Bernd Holleczek & Feng Guo & Megha Bhardwaj & Kaya Miah & Petra Schrotz-King & Hermann Brenner, 2021.
"A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction,"
Nature Communications, Nature, vol. 12(1), pages 1-9, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25067-8
DOI: 10.1038/s41467-021-25067-8
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