Abstract

The overall goal of Core Component C is to provide ongoing information management and statistical support for lymphoma research. This includes support for the specific projects described in the Lymphoma Program Project Grant and for lymphoma research which utilizes the database. The major responsibilities of Core C with regard to information management include data entry, assurance of quality control, provision of routine queries or reports to program investigators, maintenance of the overall hardware and software environment, customizing data management for specific investigations and planning for growth and evolution to more sophisticated approaches as needed. Core Component C also provides statistical support for the investigators in the Program for study design and analyses. Staff of the core include personnel with statistics, information management and data management experience.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA034233-18
Application #
6446643
Study Section
Project Start
2001-04-13
Project End
2002-03-31
Budget Start
Budget End
Support Year
18
Fiscal Year
2001
Total Cost
Indirect Cost

  Institution

Name
Stanford University
Department
Type
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

Myklebust, June H; Brody, Joshua; Kohrt, Holbrook E et al. (2017) Distinct patterns of B-cell receptor signaling in non-Hodgkin lymphomas identified by single-cell profiling. Blood 129:759-770
Anchang, Benedict; Hart, Tom D P; Bendall, Sean C et al. (2016) Visualization and cellular hierarchy inference of single-cell data using SPADE. Nat Protoc 11:1264-79
Sagiv-Barfi, Idit; Kohrt, Holbrook E; Burckhardt, Laura et al. (2015) Ibrutinib enhances the antitumor immune response induced by intratumoral injection of a TLR9 ligand in mouse lymphoma. Blood 125:2079-86
Behbehani, Gregory K; Samusik, Nikolay; Bjornson, Zach B et al. (2015) Mass Cytometric Functional Profiling of Acute Myeloid Leukemia Defines Cell-Cycle and Immunophenotypic Properties That Correlate with Known Responses to Therapy. Cancer Discov 5:988-1003
Levine, Jacob H; Simonds, Erin F; Bendall, Sean C et al. (2015) Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis. Cell 162:184-97
Shroff, Emelyn H; Eberlin, Livia S; Dang, Vanessa M et al. (2015) MYC oncogene overexpression drives renal cell carcinoma in a mouse model through glutamine metabolism. Proc Natl Acad Sci U S A 112:6539-44
Spitzer, Matthew H; Gherardini, Pier Federico; Fragiadakis, Gabriela K et al. (2015) IMMUNOLOGY. An interactive reference framework for modeling a dynamic immune system. Science 349:1259425
Sagiv-Barfi, Idit; Kohrt, Holbrook E K; Czerwinski, Debra K et al. (2015) Therapeutic antitumor immunity by checkpoint blockade is enhanced by ibrutinib, an inhibitor of both BTK and ITK. Proc Natl Acad Sci U S A 112:E966-72
Casey, Stephanie C; Vaccari, Monica; Al-Mulla, Fahd et al. (2015) The effect of environmental chemicals on the tumor microenvironment. Carcinogenesis 36 Suppl 1:S160-83
O'Gorman, William E; Hsieh, Elena W Y; Savig, Erica S et al. (2015) Single-cell systems-level analysis of human Toll-like receptor activation defines a chemokine signature in patients with systemic lupus erythematosus. J Allergy Clin Immunol 136:1326-36

Showing the most recent 10 out of 523 publications