The aim of the Translational Informatics (Tl) core is to provide the Informatics infrastructure, and to develop, deploy and maintain data systems and applications that optimize the translation of basic scientific discoveries into clinical applications. Tl members are made up of experienced informaticians and clinical research support specialists and analysts with backgrounds in clinical data coordination, biomedical research, molecular biology, computer science, software engineering, and application architecture. The Tl core develops data systems that span a range of users, from individual investigators, to individual programs within the Cancer Center, and to the Cancer Center as a whole. Tl works with researchers, other Cores, and Cancer Center administration to fulfill its goals with the ability to provide customizable informatics solutions for all data needs. Over the next five years, Tl will continue to provide the Cancer Center members with Informatics and computational support for an array of activities, including continued participation in grant applications and expanding efforts as needed to respond to changing needs of funded grants. Tl priorities are to: 1) Access, training, and management of Clinical and Biomedical Software Tools 2) Provide access to Clinical and Biomedical Data for Research 3) Research Data Management Solutions including access to High Performance Compute Cluster and allocated software. Pathway analysis tools (IPA), and design of Data Collection Models 4) Biospecimen Data Management 5) Custom Research Software Development including user interfaces 6) Oversee and provide guidance for Research Data Privacy, Security, and Quality Control 7) Standardize and Harmonize Data Collection Vocabularies and Common Data Elements 8) Maintenance of databases. Patient centric data-warehouse, and associated web sites 9) Custom data services involving specific programming expertise for specialized databases

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA082103-15
Application #
8567914
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
15
Fiscal Year
2013
Total Cost
$497,659
Indirect Cost
$90,775
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Dvorak, Christopher C; Satwani, Prakash; Stieglitz, Elliot et al. (2018) Disease burden and conditioning regimens in ASCT1221, a randomized phase II trial in children with juvenile myelomonocytic leukemia: A Children's Oncology Group study. Pediatr Blood Cancer 65:e27034
Fan, Qi Wen; Nicolaides, Theodore P; Weiss, William A (2018) Inhibiting 4EBP1 in Glioblastoma. Clin Cancer Res 24:14-21
Sannino, Sara; Guerriero, Christopher J; Sabnis, Amit J et al. (2018) Compensatory increases of select proteostasis networks after Hsp70 inhibition in cancer cells. J Cell Sci 131:
Lam, Christine; Ferguson, Ian D; Mariano, Margarette C et al. (2018) Repurposing tofacitinib as an anti-myeloma therapeutic to reverse growth-promoting effects of the bone marrow microenvironment. Haematologica 103:1218-1228
Truillet, Charles; Parker, Matthew F L; Huynh, Loc T et al. (2018) Measuring glucocorticoid receptor expression in vivo with PET. Oncotarget 9:20399-20408
Phillips, Kathryn A; Trosman, Julia R; Deverka, Patricia A et al. (2018) Insurance coverage for genomic tests. Science 360:278-279
Phillips, Kathryn A (2018) Evolving Payer Coverage Policies on Genomic Sequencing Tests: Beginning of the End or End of the Beginning? JAMA 319:2379-2380
Puri, Sapna; Roy, Nilotpal; Russ, Holger A et al. (2018) Replication confers ? cell immaturity. Nat Commun 9:485
An, Zhenyi; Aksoy, Ozlem; Zheng, Tina et al. (2018) Epidermal growth factor receptor and EGFRvIII in glioblastoma: signaling pathways and targeted therapies. Oncogene 37:1561-1575
Behr, Spencer C; Villanueva-Meyer, Javier E; Li, Yan et al. (2018) Targeting iron metabolism in high-grade glioma with 68Ga-citrate PET/MR. JCI Insight 3:

Showing the most recent 10 out of 192 publications