Cancer Epidemiology (CE) The goal of the Cancer Epidemiology (CE) Program is to provide a platform to synergize research efforts of epidemiologic and clinical researchers in order to elucidate pathways to cancer occurrence and progression that can impact clinical treatment and prevention strategies. The program brings together experienced, NCI- funded epidemiologists, molecular biologists, biostatisticians, bioinformaticists and NCCC clinicians around 3 central interactive program themes: (1) population genomics, (2) emerging risk factors, and (3) life course epidemiology. Program investigators design, execute, and analyze population-based research aimed at understanding cancer etiology, second malignancies, progression, and survival, as well as develop novel methods for these lines of research. This work is based on outstanding efforts to use population-based studies of the catchment area population and also to engage in research with national and international epidemiologic resources, including clinical trials, cohort and case-control studies. Currently there are 22 members, including 3 clinical members and 1 joint member, spanning 11 departments with expertise and experience in all facets of modern molecular epidemiology. The NCCC has been instrumental in supporting the efforts of the CE program, most notably with its support of strategic, targeted recruitment efforts, including the recruitment of Chris Amos, Olga Gorlova, Jennifer Doherty, Diane Gilbert-Diamond, Scott Williams, Amarendra Das, Zhigang Li, Brock Christensen and Carmen Marsit, the latter who serves now as Co-Director of the program with Margaret Karagas. Spurred by these recruitments and their synergies with existing member interests, the present program has developed and evolved, from a broader program in Cancer Epidemiology and Chemoprevention, to focus its efforts on cancer epidemiology research and translation. The program aims to expand collaborative research efforts within its membership and across NCCC Programs, utilizing monthly program meetings to encourage these activities, which are subsequently catalyzed by pilot grants funded by NCCC. The support of the NCCC was paramount in the successful creation and funding of the new COBRE Center for Molecular Epidemiology, the development of an interdisciplinary training program in the Quantitative Population Sciences in Cancer, and a second COBRE in Integrative Biology. These initiatives have been instrumental in the recruitment of talented faculty and trainees that continue to energize and grow cancer epidemiology research. More than 580 cancer-related articles have been published over the reporting period (85 [15%] in high impact journals), with all 22 members on intra-program (158=27%) and 19 members on inter- program (74=13%) collaborations. Total funding for the program is currently $11.5M, of which $10.8M is peer- reviewed and $2.9M is from NCI. These efforts will allow the CE program to continue to perform cutting-edge molecular epidemiologic research, on the etiology and outcomes of cancer, to reduce the burden of human malignancies and impact prevention and treatment strategies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-38
Application #
9204748
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2016-12-01
Budget End
2017-11-30
Support Year
38
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992
Trentham-Dietz, Amy; Ergun, Mehmet Ali; Alagoz, Oguzhan et al. (2018) Comparative effectiveness of incorporating a hypothetical DCIS prognostic marker into breast cancer screening. Breast Cancer Res Treat 168:229-239
Moulton, Haley; Tosteson, Tor D; Zhao, Wenyan et al. (2018) Considering Spine Surgery: A Web-Based Calculator for Communicating Estimates of Personalized Treatment Outcomes. Spine (Phila Pa 1976) 43:1731-1738
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Ferreiro-Iglesias, Aida; Lesseur, Corina; McKay, James et al. (2018) Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 9:3927
Bronson, Mackenzie R; Kapadia, Nirav S; Austin, Andrea M et al. (2018) Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer. Med Care 56:e83-e89
Gorlov, Ivan; Orlow, Irene; Ringelberg, Carol et al. (2018) Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics. Melanoma Res 28:380-389

Showing the most recent 10 out of 1911 publications