Cancer Mechanisms (CM) The goal of the Cancer Mechanisms (CM) Program is to elucidate and characterize cellular/molecular pathways that present opportunities to prevent cancer and to improve cancer classification and treatment. The research interests of the program faculty range from fundamental pathway discovery in model organisms, biochemical and cell biological approaches to understanding cell cycle and self-renewal, to elucidation of genetic pathways that present opportunities for improved cancer diagnosis, classification, prevention, and treatment. Furthermore, new members focusing on bioinformatic and proteomic approaches to cancer have enhanced our intra-programmatic and inter-programmatic collaborative opportunities. The CM program currently has 22 members from 9 different departments whose research is organized into several overlapping themes: 1) cell division and cancer, 2) gene expression and cancer, 3) cancer cell biology including, metastasis and vascular biology, and 4) bioinformatic approaches to cancer. Diversity in the research approaches and backgrounds of investigators in the CM program also is accompanied by significant overlap between research themes, with clinical experience and observations informing basic science approaches, and discoveries in biochemical and genetic model systems being translated to clinical trials. The Co-Directors represent both ends of the basic and clinical research spectrum and leverage their diverse experience to enhance collaborations through activities that include recruitment of new members, organizing specialized regional symposia, attracting outside high-profile seminar speakers, and organizing regular programmatic meetings, retreats and ad-hoc technical workshops; with the goal of enhancing members' cancer-oriented research and facilitating collaborative projects. These activities have resulted in a strong collaborative group; as evidenced by the intra-programmatic and inter-programmatic joint grants, cancer clinical trials translating CM science themes, and publications. The program is a generator of discoveries of novel targets, pathways and mechanisms to be studied in the clinic. The success of CM investigators was enabled by the NCCC through the successful strategic recruitment of outstanding new faculty in the Bioinformatics theme (Cheng, Greene), Pathology (Stan), Proteomics (Kettenbach), and in clinical/translational investigations (Dragnev [CE]), the support of shared resources, and the provision of pilot funding. More than 271 cancer-related manuscripts have been published over the reporting period (86 [32%] appearing in high-impact journals), many of them representing intra-program (26=10%) or inter-program (76=28%) collaborations. Intra-programmatic involve all 22 CM program members, with 17 co-authors with other NCCC members, including several other programs, particularly ICI, MT, and CE. Total funding for the program is currently $5.6M, of which $5.4M is peer-reviewed, and $1.8 is from NCI.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-40
Application #
9616829
Study Section
Subcommittee I - Career Development (NCI)
Project Start
Project End
Budget Start
2018-12-01
Budget End
2019-11-30
Support Year
40
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Shee, Kevin; Jiang, Amanda; Varn, Frederick S et al. (2018) Cytokine sensitivity screening highlights BMP4 pathway signaling as a therapeutic opportunity in ER+ breast cancer. FASEB J :fj201801241R
Rodriguez-Garcia, Marta; Fortier, Jared M; Barr, Fiona D et al. (2018) Aging impacts CD103+ CD8+ T cell presence and induction by dendritic cells in the genital tract. Aging Cell 17:e12733
Shajani-Yi, Zahra; de Abreu, Francine B; Peterson, Jason D et al. (2018) Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing. Neoplasia 20:256-262
Szczepiorkowski, Zbigniew M; Burnett, Christine A; Dumont, Larry J et al. (2018) Apheresis buffy coat collection without photoactivation has no effect on apoptosis, cell proliferation, and total viability of mononuclear cells collected using photopheresis systems. Transfusion 58:943-950
Bossé, Yohan; Amos, Christopher I (2018) A Decade of GWAS Results in Lung Cancer. Cancer Epidemiol Biomarkers Prev 27:363-379
Pande, Mala; Joon, Aron; Brewster, Abenaa M et al. (2018) Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 13:e0196245
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

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