The Epidemiology Research Core (ERC) supports population-based cancer research in metropolitan Detroit. The ERC is grouped in the Population Research Core Cluster along with the Behavioral and Field Research Core. The ERC is located within the Metropolitan Detroit Cancer Surveillance System (MDCSS), an NCI-funded population-based Surveillance, Epidemiology and End Results (SEER) Program central cancer registry. The MDCSS is located at Wayne State University (WSU), under the umbrella of the Karmanos Cancer Institute (KCI). Both Detroit and national SEER data contain detailed histological and demographic information, primary treatment and survival data for all patients with newly-diagnosed, invasive cancer in their respective geographic coverage areas. The ERC provides necessary support for access to and utilization of the very complex local and national SEER data for research. The Core also provides epidemiology consulting and collaborates with KCI members conducting investigations in cancer prevention, etiology, treatment and outcomes. This mission is achieved through services including rapid case ascertainment; collection of medical records and biospecimens; abstracting medical records for study-specific information; linkage of datasets to patient data for diagnostic, treatment, and outcomes research; identifying population-based control populations; research support and training for studies involving participant recruitment and interviewing; data queries and epidemiologic expertise and collaboration in the conduct of population-based investigations of cancer. The ERC benefits KCI by centralizing access to SEER data and standardizing patient, physician and hospital interactions for studies using SEER data for population-based research. The metropolitan Detroit population contains a large number of minorities, with 22% of the ~25,000 annual cancer diagnoses in the SEER catchment area being African American. This makes the population ideal for the study of health disparities. The ERC contributes significantly to the population-based research conducted at KCI, primarily through the identification of eligible participants and collection of data and biospecimens on these participants, evidenced in part by the 91 publications accomplished with support of the ERC during the current grant 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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