Molecular cancer epidemiology applies the advances in biomedical sciences - biomarkers and bioinformatics, in particular - to the etiological research of cancers. In this presentation, the speaker will emphasize potential environmental and genetic risk factors at the molecular level in several common cancers, including skin cancer and lung cancer, in terms of risk and clinical outcomes, with an emphasis on the role of DNA repair in response to the exposures in the environment and treatments in the clinics. In combining molecular biology and traditional epidemiological research, the speaker will present some examples of using the genome-wide association studies to illustrate how molecular cancer epidemiology can improve our knowledge about the carcinogenesis process and tumor progression through dissecting particular pathways that affect the risk of cancer development and prognosis.
Qingyi Wei has a bachelor of medicine in public health from Nanjing Medical College, Nanjing, and M.Sc. in environmental toxicology from the Chinese Academy of Preventive Medicine, Beijing, and a Ph.D. in epidemiology from Johns Hopkins University, Baltimore. From 1993 to 2013, he was assistant, associate and full professor as well as the Texas 4000 Distinguished Professor at the University of Texas M.D. Anderson Cancer Center. He joined Duke University in 2013 and became associate director for cancer control and population sciences, co-leader of CCPS and co-leader of epidemiology and population genomics (focus area 1). Wei is professor in the Department of Medicine and Department of Population Sciences at Duke’s School of Medicine. He is an internationally recognized epidemiologist focused on the molecular and genetic epidemiology of head and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and genetic determinants for the DNA repair deficient phenotype and variations in cell death. He is editor-in-chief of the open access journal Cancer Medicine and associate editor-in-chief of the International Journal of Molecular Epidemiology and Genetics.
This event is open to all. For any queries, email email@example.com or call 3665 7149.