EconPapers    
Economics at your fingertips  
 

A microRNA panel compared to environmental and polygenic scores for colorectal cancer risk prediction

Janhavi R. Raut, Ben Schöttker, Bernd Holleczek, Feng Guo, Megha Bhardwaj, Kaya Miah, Petra Schrotz-King and Hermann Brenner ()
Additional contact information
Janhavi R. Raut: German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)
Ben Schöttker: German Cancer Research Center (DKFZ)
Bernd Holleczek: Saarland Cancer Registry
Feng Guo: University of Heidelberg
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)

Nature Communications, 2021, vol. 12, issue 1, 1-9

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-021-25067-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25067-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-25067-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25067-8