Cancer Population Sciences The Cancer Population Sciences (CPS) Program brings together 40 faculty, representing 12 departments at Dartmouth?s Geisel School of Medicine (Geisel), Dartmouth-Hitchcock Medical Center (DH) and the White River Junction VT Veterans Administration Medical Center (VA), with research interests relevant to the three central CPS Program themes: 1) Life course cancer epidemiology, 2) Translational population science, and 3) Health care delivery science. The shared goals of the CPS Program are to: 1) conduct population-based studies to understand the molecular, behavioral and environmental basis of cancer occurrence and outcomes across the life course; 2) establish a scientific basis for policies and practices that improve cancer screening, quality of care delivery, and health outcomes across the cancer continuum, from prevention to survivorship; and 3) design and test interventions and promote policies that reduce cancer risk and cancer burden in our catchment area, nationally and beyond. Peer-reviewed cancer-related research direct cost support currently totals $8.7M, with NCI funding representing 32% ($2.8M) and total direct costs summing to $9.6M. Sixteen (16) CPS Program Members currently have a total of 17 CCSG-defined R01-equivalent awards. Using the same NCI definition of cancer-related direct costs in 2014, peer-reviewed cancer-related research direct costs are 78 % compared to 2014, but per Member funding is up 6% ($216,234 for 40 Members vs. 204,161 for 57 Members). Since 2015, the CPS Program has 994 cancer-related publications, 31% (311) intra-programmatic, 9% (93) inter-programmatic, and 75% (743) with investigators from other institutions. Based on 926 with impact data, 20% (181) were high impact journals (i.e., impact factor >8). Compared to 2014, intra-programmatic publications have increased, to 31% from 29%, and high impact has increased, to 20% from 16%. Prior to the 2018 Program reorganization, our two population science programs had inter-programmatic publication rates of 13% and 19%, which matched the range (13-19%) they reported in 2014. The CPS program leaders have defined program-level and theme-specific plans for future growth. These include enhanced, trans-disciplinary mentorship of junior investigators by senior faculty in multiple disciplines; the development and support of subject workgroups (e.g. obesity, microbiome, breast cancer, tobacco regulatory and geospatial research) to build collaborations that cross the disciplines of population science and beyond; and continued growth of training programs.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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Dartmouth College
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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

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