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Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.

Authors :
Yu-Ru Su
Sakoda, Lori C.
Jihyoun Jeon
Thomas, Minta
Yi Lin
Schneider, Jennifer L.
Udaltsova, Natalia
Lee, Jeffrey K.
Lansdorp-Vogelaar, Iris
Peterse, Elisabeth F. P.
Zauber, Ann G.
Jiayin Zheng
Yingye Zheng
Hauser, Elizabeth
Baron, John A.
Barry, Elizabeth L.
Bishop, D. Timothy
Brenner, Hermann
Buchanan, Daniel D.
Burnett-Hartman, Andrea
Source :
Cancer Epidemiology, Biomarkers & Prevention; Mar2023, Vol. 32 Issue 3, p353-362, 10p
Publication Year :
2023

Abstract

Background: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance. Methods: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group). Results: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity. Conclusions: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort. Impact: The proposed model has potential utility in risk-stratified colorectal cancer prevention. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10559965
Volume :
32
Issue :
3
Database :
Supplemental Index
Journal :
Cancer Epidemiology, Biomarkers & Prevention
Publication Type :
Academic Journal
Accession number :
175744154
Full Text :
https://doi.org/10.1158/1055-9965.EPI-22-0817