Metabolic biomarkers of habitual alcohol use and risk of five cancers
Study populations: Participants from nine nested cancer case-control studies with pre-diagnostic serum metabolites measured, including two PDAC studies in PLCO (360 cases/360 controls) and ATBC (373 cases/373 controls),4 two esophageal cancer studies in PLCO (131 cases/131 controls) and ATBC (74 cases/62 controls), two glioma studies in PLCO (164 cases/165 controls) and ATBC (61 cases/64 controls), two prostate cancer in mostly whites (380 cases/380 controls)5 and Blacks (224 cases/224 controls) in PLCO, and a endometrial cancer (193 cases/193 controls) in PLCO.
Exposures: Alcohol and its subtypes (beer, liquor, wine) intake, assessed by using FFQ at baseline (DQX for PLCO).
Outcomes: Metabolomics measurements; pancreatic cancer, endometrial cancer, glioma, prostate cancer, and esophageal cancer.
Statistical analysis:
We will use partial Spearman correlation between alcohol and its subtypes intake (g/day) and metabolites (median-scaled and log transformed) in each subset and combined using fixed-effect meta-analysis (with Fisher’s r to z transformation). Covariates include age at blood draw (years), sex (PLCO), race (PLCO), smoking (ATBC: cigarettes per day and years smoked; PLCO: never smoking, former smoking quit ≥15 years, former smoking quit <15 years, current smoking), diabetes, BMI (continuous), HEI-2020 dietary scores (continuous), daily energy intake (kcal), and coffee intake (continuous). For alcohol subtypes, we will adjust for the sum of other alcohol intake. FDR Q<0.05 in both cohorts will be considered statistically significant.
We will use unconditional or conditional logistic regressions for associations of alcohol intake (per 1 SD of log values or quintiles) and alcohol-correlated metabolites with each cancer in each cohort and combined using fixed-effect meta-analysis if necessary. Model will be adjusted for age at blood draw (years) and additionally adjusted for smoking, diabetes, BMI, and daily energy intake (continuous).
We aim to identify serum metabolites correlated with habitual alcohol intake over a wide range in two independent cohorts, i.e., PLCO (American men and women, mostly non-smokers) and ATBC (Finnish male smokers), and to examine the associations of the candidate alcohol biomarkers with pancreatic cancer, endometrial cancer, glioma, and prostate cancer risk in both populations. We will use esophageal cancer as a positive control outcome.
Ting Zhang, Ph.D., Postdoctoral Fellow, Metabolic Epidemiology Branch (MEB), DCEG
Rachael Stolzenberg-Solomon, Ph.D., Senior Investigator, MEB, DCEG (overseeing PI)
Steven C. Moore, Ph.D., Senior Investigator, MEB, DCEG
Mary C. Playdon, Ph.D., Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
Demetrius Albanes, MD., Senior Investigator, MEB, DCEG
Stephanie J. Weinstein, Ph.D., Staff Scientist, MEB, DCEG
Linda M. Liao, Ph.D., Staff Scientist, MEB, DCEG