Optimally preserved human tissue specimens are the backbone of cancer research for basic, clinical, translational and population scientists. The purpose of the Tissue Core (TC) is: 1. To ensure the collection and storage of well-annotated human tissues for research, and to provide investigators with access to high quality human specimens, including fresh and frozen tissues, fixed tissue, and DNA/RNA products. 2. To provide histology, immunohistochemistry and in-situ hybridization services for paraffin embedded tissue. These services, outsourced in the prior core submission, have been incorporated within the Moffitt Tissue Core Facility. 3. To manufacture tissue microarrays using our rich resource of archival material here at Moffitt Cancer Center. We have recently implemented a procedure for the transfer of all archival material no longer required for clinical care to the Tissue Core for research. These will provide a repository for the construction of tissue microarrays, a service that was also outsourced prior to this submission. The Core is administrated by Domenico Coppola, MD, and Mary E. Edgerton, MD, PhD, Scientific Directors, Tyron Hoover, MD, JD, Medical Director, and the Tissue Core Executive Committee (TCEC), a multidisciplinary committee responsible for recommending policy governing tissue release and utilization, and ensuring compliance with all appropriate regulatory bodies. On average, the Tissue Core has distributed over 1,000 tissue samples and nearly 800 nucleic acid derivatives per year to investigators. The Tissue Core (TC) future goals include implementation of standard tissue banking processes in a network of community hospitals, linking clinical outcomes to patient samples. In conjunction with the Informatics Core, TC is expanding its informatics support. There is also an ongoing effort to improve the collection, processing and storage of tissues, and to optimize the collection, processing and storage of fine needle aspirate specimens for molecular and proteomic analyses. Finally, TC is developing specialized tissue based molecular testing (FISH,C-ISH, gene polymorphism-Invader) as an adjunct to immunohistochemistry.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
H. Lee Moffitt Cancer Center & Research Institute
United States
Zip Code
Song, Jinming; Hussaini, Mohammad; Zhang, Hailing et al. (2017) Comparison of the Mutational Profiles of Primary Myelofibrosis, Polycythemia Vera, and Essential Thrombocytosis. Am J Clin Pathol 147:444-452
Tauro, Marilena; Shay, Gemma; Sansil, Samer S et al. (2017) Bone-Seeking Matrix Metalloproteinase-2 Inhibitors Prevent Bone Metastatic Breast Cancer Growth. Mol Cancer Ther 16:494-505
Davis, Stacy N; Christy, Shannon M; Chavarria, Enmanuel A et al. (2017) A randomized controlled trial of a multicomponent, targeted, low-literacy educational intervention compared with a nontargeted intervention to boost colorectal cancer screening with fecal immunochemical testing in community clinics. Cancer 123:1390-1400
Eksioglu, E A; Chen, X; Heider, K-H et al. (2017) Novel therapeutic approach to improve hematopoiesis in low risk MDS by targeting MDSCs with the Fc-engineered CD33 antibody BI 836858. Leukemia 31:2172-2180
Strom, Tobin; Harrison, Louis B; Giuliano, Anna R et al. (2017) Tumour radiosensitivity is associated with immune activation in solid tumours. Eur J Cancer 84:304-314
Heit, Claire; Marshall, Stephanie; Singh, Surrendra et al. (2017) Catalase deletion promotes prediabetic phenotype in mice. Free Radic Biol Med 103:48-56
Chen, Yi; Fisher, Kate J; Lloyd, Mark et al. (2017) Multiplexed Liquid Chromatography-Multiple Reaction Monitoring Mass Spectrometry Quantification of Cancer Signaling Proteins. Methods Mol Biol 1647:19-45
Kamath, Vidya P; Torres-Roca, Javier F; Eschrich, Steven A (2017) Integrating Biological Covariates into Gene Expression-Based Predictors of Radiation Sensitivity. Int J Genomics 2017:6576840
Liu, Ying; Balagurunathan, Yoganand; Atwater, Thomas et al. (2017) Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules. Clin Cancer Res 23:1442-1449
Stewart, Paul A; Fang, Bin; Slebos, Robbert J C et al. (2017) Relative protein quantification and accessible biology in lung tumor proteomes from four LC-MS/MS discovery platforms. Proteomics 17:

Showing the most recent 10 out of 1137 publications