Moffitt Cancer Center has initiated a major effort to increase the number of investigator-initiated early phase clinical studies. For FY2005, investigators at Moffitt Cancer Center enrolled 490 patients on pilot, phase I or I studies. The Clinical Investigations Program has significantly expanded the phase I effort since the previous submission in 2000. The percentage of subjects enrolled onto Investigator-initiated trials has almost doubled (23% to 44%) over the course of the previous grant period. The proportion of accruals to phase I or I/I I studies remains above 40% of all accruals. The support of innovative phase I and feasibility studies is a clear institutional priority for the coming years of the grant cycle. The scope of this important activity will include outpatient based studies as well as studies conducted for inpatients. Phase I and feasibility studies will take place in both arenas, staffed by research nurses who will supplement the data management core. The maturation of interactions between basic scientists and clinicians, the interprogrammatic working groups, and the establishment of the clinical research unit and translational laboratory support the need for increased numbers of experienced research nursing staff. The institution continues to support the growth of the Phase I Program as demonstrated by the expansion of the Clinical Research Unit in 2001. The current outpatient CRU outpatient area consists of seven treatment rooms (seven beds), 3 infusion area (9 infusion chairs) and three offices, which house five research nurses, two study coordinators, two physician assistants and the Manager of the CRU. Further expansion of this area will be complete in 2007 and will provide additional treatment areas that will expand capacity by at least 60%.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-10
Application #
7579068
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-02-01
Budget End
2009-01-31
Support Year
10
Fiscal Year
2008
Total Cost
$142,512
Indirect Cost
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Karolak, Aleksandra; Rejniak, Katarzyna A (2018) Micropharmacology: An In Silico Approach for Assessing Drug Efficacy Within a Tumor Tissue. Bull Math Biol :
Karolak, Aleksandra; Estrella, Veronica C; Huynh, Amanda S et al. (2018) Targeting Ligand Specificity Linked to Tumor Tissue Topological Heterogeneity via Single-Cell Micro-Pharmacological Modeling. Sci Rep 8:3638
Barata, Anna; Gonzalez, Brian D; Sutton, Steven K et al. (2018) Coping strategies modify risk of depression associated with hematopoietic cell transplant symptomatology. J Health Psychol 23:1028-1037
Li, Qian; Balagurunathan, Yoganand; Liu, Ying et al. (2018) Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial. Clin Lung Cancer 19:148-156.e3
Kazi, Aslamuzzaman; Xiang, Shengyan; Yang, Hua et al. (2018) GSK3 suppression upregulates ?-catenin and c-Myc to abrogate KRas-dependent tumors. Nat Commun 9:5154
McWilliams, Robert R; Wieben, Eric D; Chaffee, Kari G et al. (2018) CDKN2A Germline Rare Coding Variants and Risk of Pancreatic Cancer in Minority Populations. Cancer Epidemiol Biomarkers Prev 27:1364-1370
Ctortecka, Claudia; Palve, Vinayak; Kuenzi, Brent M et al. (2018) Functional Proteomics and Deep Network Interrogation Reveal a Complex Mechanism of Action of Midostaurin in Lung Cancer Cells. Mol Cell Proteomics 17:2434-2447
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
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Kang, Sokbom; Thompson, Zachary; McClung, E Claire et al. (2018) Gene Expression Signature-Based Prediction of Lymph Node Metastasis in Patients With Endometrioid Endometrial Cancer. Int J Gynecol Cancer 28:260-266

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