Steven C. Moore, Ph.D.
Metabolic Epidemiology Branch
9609 Medical Center Drive
Rockville, MD 20850
Steven C. Moore, Ph.D., M.P.H., investigates how physical activity, obesity, and diet are related to human carcinogenesis and health. He explores these associations through analyses of large-scale consortium datasets and high-throughput molecular epidemiology studies.
Physical Activity, Obesity, and their Relationship with Health
Dr. Moore leads some of the largest etiologic studies on physical activity and obesity. In initial studies of data from up to 2 million participants in the NCI Cohort Consortium, Dr. Moore and colleagues showed that physical activity is associated with lower risk of at least 13 different types of cancer. Dr. Moore is now seeking to expand on these findings by examining how different types of activity—such as resistance training, stair climbing, running, and biking—are associated with health and cancer risk in this consortium dataset.
Dr. Moore also investigates the biological mechanisms underlying the relation of physical activity and obesity to health. In prior work, he found that abnormal metabolism of branched-chain amino acids may explain a substantial fraction of the increased risk of breast cancer experienced by women with an elevated body mass index. He is currently investigating the association of hundreds of metabolic factors with risk of renal cell carcinoma and endometrial cancer to determine whether similar “mechanistic mediators” are evident for these obesity-associated cancers. Dr. Moore’s future plans include identifying metabolic factors associated with improved health from physical activity.
Read The Role of Physical Activity, Obesity, and Diet in Cancer in DCEG Linkage.
Identifying and Leveraging Novel Biomarkers of Diet
In his early research using high-throughput assays, Dr. Moore uncovered new potential biomarkers for diet. He is currently evaluating these biomarkers to determine how they correlate with weighed food intake in a feeding study. In future research, Dr. Moore aims to evaluate whether there are specific food biomarkers for distinct types of processed foods and beverages, e.g. energy drinks. He also plans to evaluate how dozens of distinct diet biomarkers are related to health using data from prospective cohorts.
Developing a Metabolomics Consortium for Large-scale Etiologic Studies
Recent advances in metabolomics—the study of small molecule constituents of a biological system—have made it possible to study human physiology and metabolism in unprecedented detail. To take advantage of these advances at large scale, Dr. Moore co-founded the Consortium of Metabolomics Studies (COMETS), a consortium comprising 65 international prospective cohorts that uses metabolomics to identify risk factors for chronic disease. Currently, Dr. Moore and colleagues are analyzing the association of age and body mass index with metabolite levels in 45 different cohort studies, together comprising 110,000+ research participants. Future consortium studies aim to identify new diet biomarkers that span the diverse populations in COMETS and to study associations of metabolite levels with disease outcomes. These analyses were conducted using COMETS Analytics, an online data analysis app developed collaboratively by Dr. Moore and colleagues at George Washington University, Ohio State University, and the NCI Division of Cancer Control and Population Sciences.
Dr. Moore earned his Ph.D. in cancer epidemiology from Yale University, with a focus in nutrition. He joined the Division of Cancer Epidemiology and Genetics as a predoctoral fellow in 2005, was promoted to research fellow in 2009, and appointed Earl Stadtman Tenure-Track Investigator in 2013. Dr. Moore investigates how physical activity, obesity, and diet are related to human carcinogenesis and health. He explores these associations through analyses of large-scale consortium datasets and high-throughput molecular epidemiology studies.
Moore SC, Patel AV, Matthews CE, Berrington de Gonzalez A, Park Y, Katki HA, Linet MS, Weiderpass E, Visvanathan K, Helzlsouer KJ, Thun M, Gapstur SM, Hartge P, Lee IM. Leisure time physical activity of moderate to vigorous intensity and mortality: a large pooled cohort analysis. PLoS Med. 2012;9(11):e1001335.
Moore SC, Lee IM, Weiderpass E, Campbell PT, Sampson JN, Kitahara CM, Keadle SK, Arem H, Berrington de Gonzalez A, Hartge P, Adami HO, Blair CK, Borch KB, Boyd E, Check DP, Fournier A, Freedman ND, Gunter M, Johannson M, Khaw KT, Linet MS, Orsini N, Park Y, Riboli E, Robien K, Schairer C, Sesso H, Spriggs M, Van Dusen R, Wolk A, Matthews CE, Patel AV. Association of Leisure-Time Physical Activity With Risk of 26 Types of Cancer in 1.44 Million Adults. JAMA Intern Med. 2016;176(6):816-25.
Moore SC, Matthews CE, Ou Shu X, Yu K, Gail MH, Xu X, Ji BT, Chow WH, Cai Q, Li H, Yang G, Ruggieri D, Boyd-Morin J, Rothman N, Hoover RN, Gao YT, Zheng W, Ziegler RG. Endogenous Estrogens, Estrogen Metabolites, and Breast Cancer Risk in Postmenopausal Chinese Women. J Natl Cancer Inst. 2016;108(10).
Moore SC, Playdon MC, Sampson JN, Hoover RN, Trabert B, Matthews CE, Ziegler RG. A Metabolomics Analysis of Body Mass Index and Postmenopausal Breast Cancer Risk. J Natl Cancer Inst. 2018;110(6):588-597.
Matthews CE, Moore SC, Arem H, Cook MB, Trabert B, Håkansson N, Larsson SC, Wolk A, Gapstur SM, Lynch BM, Milne RL, Freedman ND, Huang WY, Berrington de Gonzalez A, Kitahara CM, Linet MS, Shiroma EJ, Sandin S, Patel AV, Lee IM. Amount and Intensity of Leisure-Time Physical Activity and Lower Cancer Risk. J Clin Oncol. 2020;38(7):686-697.
Related Scientific Focus Areas
This page was last updated on March 11th, 2021