The primary objective of the Immune Analysis Core is to establish standardized assays of cellular and humoral immune responses for the immunotherapeutic approaches being developed and tested in Individual Research Projects 1, 2 and 3 of the RPCI Ovarian Cancer SPORE. It will be also be responsible for enumerating and characterizing myeloid derived suppressor cells (MDSCs) by flow cytometry for Research Projects 4. The Core will routinely provide Ovarian Cancer SPORE investigators with high quality, state-of-the- art flow cytometry, cellular monitoring by ELISPOT, proliferation and cytotoxicity assays, and multiplex cytokine bead array.
The specific aims of the Immune Analysis Core are to: 1) Provide cell banking services for immune monitoring assays requiring viable mononuclear cells. 2) Provide state-of-the-art, multi-color, fluorescence activated cell sorting and analytical support for Individual Research Projects, Career Development and Developmental Research Projects. This includes high-speed sorting and multi-color analysis of cellular subsets. 3) Provide state-of-the-art ELISPOT, ELISA, proliferation and cytotoxicity assays for the functional characterization of antigen-specific T cell responses. 4) Provide state-of-the-art patient sample handling and assessment of immune responses, with standardized SOPs, quality assurance, quality control and data management practices to monitor assay performance and validate data quality. In addition to these established immunoassays services, the Immune Analysis Core will be instrumental in developing new methodologies and making them available to the SPORE investigators. It also has a significant educational role, working with all SPORE investigators including PI's, technicians and young investigators on their assay development, proper use of instrumentation and interpretation of their data.

Public Health Relevance

Centralization and standardization of the performance of the immunoassays will facilitate head-to-head comparisons of the immunological therapies being tested using the same outcome measures and provide for more efficient use of the SPORE's resources.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA159981-02
Application #
8754352
Study Section
Special Emphasis Panel (ZCA1-RPRB-M)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
2
Fiscal Year
2014
Total Cost
$87,915
Indirect Cost
Name
Roswell Park Cancer Institute Corp
Department
Type
DUNS #
824771034
City
Buffalo
State
NY
Country
United States
Zip Code
14263
Soh, Kah Teong; Wallace, Paul K (2018) RNA Flow Cytometry Using the Branched DNA Technique. Methods Mol Biol 1678:49-77
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459
Yang, Xi; Xia, Rui; Yue, Cuihua et al. (2018) ATF4 Regulates CD4+ T Cell Immune Responses through Metabolic Reprogramming. Cell Rep 23:1754-1766
Block, Matthew S; Vierkant, Robert A; Rambau, Peter F et al. (2018) MyD88 and TLR4 Expression in Epithelial Ovarian Cancer. Mayo Clin Proc 93:307-320
Wang, Zehua; Yang, Bo; Zhang, Min et al. (2018) lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer. Cancer Cell 33:706-720.e9
Mayor, Paul C; Eng, Kevin H; Singel, Kelly L et al. (2018) Cancer in primary immunodeficiency diseases: Cancer incidence in the United States Immune Deficiency Network Registry. J Allergy Clin Immunol 141:1028-1035
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Shenoy, Gautam N; Loyall, Jenni; Berenson, Charles S et al. (2018) Sialic Acid-Dependent Inhibition of T Cells by Exosomal Ganglioside GD3 in Ovarian Tumor Microenvironments. J Immunol 201:3750-3758
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430

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