The Tissue Core (TC) serves as the central biorepository for Moffitt Cancer Center (MCC). Opened in 1992, the overall goal of the TC is to collect, process, store, and release high-quality, well-annotated biospecimens in support of basic, population, clinical, and translational research. TC biobanking activities at MCC have three foremost specific aims: 1. Serve as a centralized MCC biobanking resource for the collection, processing, and storage of human biospecimens in support of member science; 2. Implement biorepository best practices and quality metrics that ensure members' access to high quality biospecimens; 3. Develop and promote policies, guidelines, and procedures that facilitate members' efficient access to human biospecimens in a regulatory-compliant manner. The TC is housed in a 2,800 square foot facility and staffed by 20 highly trained Biorepository Specialists, Staff Scientists, a Research Pathologist, and a Manager that collectively support investigator-driven studies and the general banking operations. TC services are housed within three distinct sections: Intake & Acquisition, Sample Processing Lab, and Research Histology Services. Collectively, the three sections provided support for 206 protocols during fiscal year 2015 (FY15). The TC provides a wide variety of services such as collection of fresh frozen tissue, general histology, immunohistochemistry, nucleic acid extraction, construction of tissue microarrays (TMA), and release of archived biospecimens. Moreover, in support of investigator-driven studies, the TC incorporates specific needs and applications into project-specific SOPs, which often include contributing to the study design and collection strategies to optimize biospecimen handling. Overall, the TC offers 81 distinct biobanking and biospecimen-related services that meet or exceed NCI best practice recommendations and College of American Pathologists (CAP) Biorepository Accreditation standards to ensure high-quality biospecimen collection and processing validated through standardization, documentation, and emphasis on quality management. In addition to contributing to 173 publications during the past five years, the TC's high-quality biobanking infrastructure was instrumental in MCC's successful Lung SPORE, Skin SPORE, BMaP-3, TCGA, and CPTAC submissions. During the prior period, the TC provided significant support to members, demonstrated by a yearly average of nearly 73,000 service units, with FY15 representing a record year of usage with 85,708 service units. In FY15, TC services were utilized by 86 members distributed across all five CCSG programs, with 78% of total usage by peer-review-funded members.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-20
Application #
9419804
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2018-02-01
Budget End
2019-01-31
Support Year
20
Fiscal Year
2018
Total Cost
Indirect Cost
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Dai, Juncheng; Li, Zhihua; Amos, Christopher I et al. (2018) Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci. Carcinogenesis :
Cherezov, Dmitry; Hawkins, Samuel H; Goldgof, Dmitry B et al. (2018) Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. Cancer Med 7:6340-6356
Simmons, Vani N; Sutton, Steven K; Meltzer, Lauren R et al. (2018) Long-term outcomes from a self-help smoking cessation randomized controlled trial. Psychol Addict Behav 32:710-714
Wheldon, Christopher W; Schabath, Matthew B; Hudson, Janella et al. (2018) Culturally Competent Care for Sexual and Gender Minority Patients at National Cancer Institute-Designated Comprehensive Cancer Centers. LGBT Health 5:203-211
Lin, Hui-Yi; Huang, Po-Yu; Chen, Dung-Tsa et al. (2018) AA9int: SNP interaction pattern search using non-hierarchical additive model set. Bioinformatics 34:4141-4150
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647
Hellmann, Matthew D; Callahan, Margaret K; Awad, Mark M et al. (2018) Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer. Cancer Cell 33:853-861.e4
Trabert, Britton; Poole, Elizabeth M; White, Emily et al. (2018) Analgesic Use and Ovarian Cancer Risk: An Analysis in the Ovarian Cancer Cohort Consortium. J Natl Cancer Inst :
Palmer, Amanda M; Brandon, Thomas H (2018) How do electronic cigarettes affect cravings to smoke or vape? Parsing the influences of nicotine and expectancies using the balanced-placebo design. J Consult Clin Psychol 86:486-491
Dougoud-Chauvin, Vérène; Lee, Jae Jin; Santos, Edgardo et al. (2018) Using Big Data in oncology to prospectively impact clinical patient care: A proof of concept study. J Geriatr Oncol 9:665-672

Showing the most recent 10 out of 1254 publications