Journal article

Smoking Methylation Marks for Prediction of Urothelial Cancer Risk

C Yu, KM Jordahl, JK Bassett, JE Joo, EM Wong, MT Brinkman, DF Schmidt, DM Bolton, E Makalic, TM Brasky, AH Shadyab, LF Tinker, A Longano, JL Hopper, DR English, RL Milne, P Bhatti, MC Southey, GG Giles, PA Dugue

Cancer Epidemiology Biomarkers and Prevention | Published : 2021

Abstract

Background: Self-reported information may not accurately capture smoking exposure. We aimed to evaluate whether smoking-associated DNA methylation markers improve urothelial cell carcinoma (UCC) risk prediction. Methods: Conditional logistic regression was used to assess associations between blood-based methylation and UCC risk using two matched case–control samples: 404 pairs from the Melbourne Collaborative Cohort Study (MCCS) and 440 pairs from the Women’s Health Initiative (WHI) cohort. Results were pooled using fixed-effects meta-analysis. We developed methylation-based predictors of UCC and evaluated their prediction accuracy on two replication data sets using the area under the curve ..

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Grants

Awarded by National Institutes of Health


Funding Acknowledgements

This work was supported by the Australian NHMRC project grants 209057, 251553, 504711, 1043616, and 1164455. Cohort recruitment was funded by Cancer Council Victoria (http://www.cancervic.org.au/) and VicHealth (https://www.vichealth.vic.gov.au/). M.C. Southey is a recipient of a Senior Research Fellowship from the NHMRC (GTN1155163). The WHI program was funded by the National Heart, Lung, and Blood Institute (NIH, U.S. Department of Health and Human Services) through grants 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, and 75N92021D00005.