The purpose of the Biobanking and Correlative Sciences (BCS) Core is to enhance the peer reviewed, funded research activities of KCI members whose research requires IRB-approved access to patient tissue for preclinical and clinical studies and to support clinical trials by managing tissue specimens and providing circulating tumor cell counting. The BCS Core is grouped in the Cross Disciplinary Research Core Cluster which, in addition to the BCS Core, includes the Biostatistics, Genomics, and Pharmacology Cores. The BCS Core provides KCI investigators with high quality, well-annotated tumor tissue specimens for pre- clinical studies and coordinates requests for tumor tissues with the Genomics, Pharmacology and Proteomics Cores. Disease site-specific pathologists review tissues for selection of appropriate samples. This ensures there is appropriate and adequate tissue in the amounts and numbers needed for a given study to provide biologically meaningful results as determined by the Biostatistics Core. Institutional funds support the contributions of the pathologists. Fresh frozen specimens in the KCI Biobank are stored in eight -80?C freezers, which are temperature monitored and have back up emergency power. All specimens are barcoded and stored in cryosafe containers. Secured cabinets store formalin-fixed paraffin embedded (FFPE) specimens and any prepared slides from the biospecimens. Each biospecimen is logged into the KCI database, OnCore, with its precise location, associated informed consent, pathology report, and amount of available tissue. Histology services are supported by a tissue processor, a tissue embedder, microtomes, a cryostat, and other ancillary histology equipment. For pharmacodynamic assays, the core contains a Janssen Cell Search Circulating Tumor Cell system, which enables investigators to enumerate and/or isolate circulating tumor cells. The services provided by the Biobanking and Correlative Sciences Core have contributed to 21 peer- reviewed publications during the current review period.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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Wayne State University
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Watza, Donovan; Purrington, Kristen S; Chen, Kang et al. (2017) Transcriptional programs of tumor infiltrating T-cells provide insight into mechanisms of immune response and new targets for immunotherapy. J Thorac Dis 9:4162-4164
Eggly, Susan; Hamel, Lauren M; Foster, Tanina S et al. (2017) Randomized trial of a question prompt list to increase patient active participation during interactions with black patients and their oncologists. Patient Educ Couns 100:818-826
Bao, Bin; Mitrea, Cristina; Wijesinghe, Priyanga et al. (2017) Treating triple negative breast cancer cells with erlotinib plus a select antioxidant overcomes drug resistance by targeting cancer cell heterogeneity. Sci Rep 7:44125
Bernardo, Margarida M; Dzinic, Sijana H; Matta, Maria J et al. (2017) The Opportunity of Precision Medicine for Breast Cancer With Context-Sensitive Tumor Suppressor Maspin. J Cell Biochem 118:1639-1647
Soave, Claire L; Guerin, Tracey; Liu, Jinbao et al. (2017) Targeting the ubiquitin-proteasome system for cancer treatment: discovering novel inhibitors from nature and drug repurposing. Cancer Metastasis Rev 36:717-736
Jones, Carissa C; Bush, William S; Crawford, Dana C et al. (2017) Germline Genetic Variants and Lung Cancer Survival in African Americans. Cancer Epidemiol Biomarkers Prev 26:1288-1295
Bosnyák, Edit; Michelhaugh, Sharon K; Klinger, Neil V et al. (2017) Prognostic Molecular and Imaging Biomarkers in Primary Glioblastoma. Clin Nucl Med 42:341-347
Ben Khedher, Soumaya; Neri, Monica; Papadopoulos, Alexandra et al. (2017) Menstrual and reproductive factors and lung cancer risk: A pooled analysis from the international lung cancer consortium. Int J Cancer 141:309-323
Tan, Zhijing; Nie, Song; McDermott, Sean P et al. (2017) Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line. J Proteome Res 16:842-851
Embogama, D Maheeka; Pflum, Mary Kay H (2017) K-BILDS: A Kinase Substrate Discovery Tool. Chembiochem 18:136-141

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