Back to Search Start Over

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

Authors :
Su, Yu Ru
Sakoda, Lori C.
Jeon, Jihyoun
Thomas, Minta
Lin, Yi
Schneider, Jennifer L.
Udaltsova, Natalia
Lee, Jeffrey K.
Lansdorp-Vogelaar, Iris
Peterse, Elisabeth F.P.
Zauber, Ann G.
Zheng, Jiayin
Zheng, Yingye
Hauser, Elizabeth
Baron, John A.
Barry, Elizabeth L.
Bishop, D.T.
Brenner, Hermann
Buchanan, Daniel D.
Burnett-Hartman, Andrea
Campbell, Peter T.
Casey, Graham
Castellví-Bel, Sergi
Chan, Andrew T.
Chang-Claude, Jenny
Figueiredo, Jane C.
Gallinger, Steven J.
Giles, Graham G.
Gruber, Stephen B.
Gsur, Andrea
Gunter, Marc J.
Hampe, Jochen
Hampel, Heather
Harrison, Tabitha A.
Hoffmeister, Michael
Hua, Xinwei
Huyghe, Jeroen R.
Jenkins, Mark A.
Keku, Temitope O.
Marchand, Loic Le
Li, Li
Lindblom, Annika
Moreno, Victor
Newcomb, Polly A.
Pharoah, Paul D.P.
Platz, Elizabeth A.
Potter, John D.
Qu, Conghui
Rennert, Gad
Schoen, Robert E.
Slattery, Martha L.
Song, Mingyang
van Duijnhoven, Fränzel J.B.
Van Guelpen, Bethany
Vodicka, Pavel
Wolk, Alicja
Woods, Michael O.
Wu, Anna H.
Hayes, Richard B.
Peters, Ulrike
Corley, Douglas A.
Hsu, Li
Su, Yu Ru
Sakoda, Lori C.
Jeon, Jihyoun
Thomas, Minta
Lin, Yi
Schneider, Jennifer L.
Udaltsova, Natalia
Lee, Jeffrey K.
Lansdorp-Vogelaar, Iris
Peterse, Elisabeth F.P.
Zauber, Ann G.
Zheng, Jiayin
Zheng, Yingye
Hauser, Elizabeth
Baron, John A.
Barry, Elizabeth L.
Bishop, D.T.
Brenner, Hermann
Buchanan, Daniel D.
Burnett-Hartman, Andrea
Campbell, Peter T.
Casey, Graham
Castellví-Bel, Sergi
Chan, Andrew T.
Chang-Claude, Jenny
Figueiredo, Jane C.
Gallinger, Steven J.
Giles, Graham G.
Gruber, Stephen B.
Gsur, Andrea
Gunter, Marc J.
Hampe, Jochen
Hampel, Heather
Harrison, Tabitha A.
Hoffmeister, Michael
Hua, Xinwei
Huyghe, Jeroen R.
Jenkins, Mark A.
Keku, Temitope O.
Marchand, Loic Le
Li, Li
Lindblom, Annika
Moreno, Victor
Newcomb, Polly A.
Pharoah, Paul D.P.
Platz, Elizabeth A.
Potter, John D.
Qu, Conghui
Rennert, Gad
Schoen, Robert E.
Slattery, Martha L.
Song, Mingyang
van Duijnhoven, Fränzel J.B.
Van Guelpen, Bethany
Vodicka, Pavel
Wolk, Alicja
Woods, Michael O.
Wu, Anna H.
Hayes, Richard B.
Peters, Ulrike
Corley, Douglas A.
Hsu, Li
Source :
ISSN: 1055-9965
Publication Year :
2023

Abstract

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.

Details

Database :
OAIster
Journal :
ISSN: 1055-9965
Notes :
application/pdf, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (2023) 3, ISSN: 1055-9965, ISSN: 1055-9965, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1430716825
Document Type :
Electronic Resource