): Early Phase Clinical Research At Norris Cotton Cancer Center (NCCC), early phase clinical research is conducted through both the Early Phase Trials Clinical Oncology Group (EPTCOG) and individual disease-specific Clinical Oncology Groups (COGs). While all clinical investigators are encouraged and able to lead and participate in early phase clinical trials, the overall portfolio and prioritization of early phase clinical trials is managed through the EPTCOG. The EPTCOG is Co-Directed by Drs. Lionel D. Lewis and Marc S. Ernstoff who, with representatives of the research programs, constitute an EPTCOG steering committee. The infrastructure supporting early phase clinical research includes a process for submission and scientific approval of a letter of intent (LOI) for investigator-initiated studies, with provisions for biostatistics, bioinformatics, and correlative studies performed through NCCC Shared Resources. Support for the implementation of the clinical trials of this group is managed through NCCC's Office of Clinical Research, described in the Clinical Protocol and Data Management component of this application. NCCC has a tri-directional network for early translational clinical research involving laboratory and clinical groups as well as involvement in NCI-sponsored national cooperative and network groups (Alliance, NRG and the Cancer Immunotherapy Trials Network [CITN]). Studies utilizing radiobiology agents, devices, surgical approaches, molecular-targeted and immune therapies, and genomic and proteomic profiling are represented in the EPTCOG portfolio, with high-priority given to NCCC investigator- initiated, proof-of-principle, feasibility and Phase I protocols.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-40
Application #
9616826
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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