TRANSLATIONAL PATHOLOGY SHARED RESOURCE The TP facility is a multi-component SR that integrates human and non-human histopathology services to facilitate and coordinate studies for LCCC members. TP provides expertise and techniques focused on either pre-clinical (AHC) or clinical (TPL) specimens and facilitates translation of results between the two. Each component is led by board-certified faculty pathologist (MD, DVM, PhD) who oversees operations and long- term planning. AHC provides comprehensive animal pathology support to investigators, from study design through specimen handling, grossing, routine and specialized histologic techniques, bloodwork, urinalysis, molecular characterization of tissue, and tissue morphologic analysis. The AHC component director Stephanie Montgomery, DVM, PhD is expanding the core and its capabilities by initiating a novel training program in veterinary pathology in combination with UNC sister University NC State and its Veterinary School. TPL, under Dr. Sara Wobker, MD, supports clinical studies by providing access to formalin-fixed, paraffin-embedded tissues from UNC Hospitals Surgical Pathology archives, start-to-finish translational pathology project management, and histopathology services. Both components are equipped with instrumentation for routine pathology but have upgrades for high level digital pathology and analysis. New technology for single cell analysis including the Geo Max from Nanostring is being incorporated into the SR to aid in understanding the tumor microenvironment. The facility is well used by 109 total users of which 78 (72%) are Center members. The facility is well- supported by chargebacks, receiving 57% of their fiscal year 2019 operating revenue from that source. TP is requesting $186,872 from the CCSG or 12% of the operating budget. TP has supported 200 peer-reviewed publications during the last funding cycle of the CCSG including cancer therapeutics, immunotherapy, nutrition and cancer, nanotechnology, cancer cell signaling, gene therapy, novel cancer models, and personalized medicine.
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