Core A: Administration The Administrative Core A (Admin Core) provides the administrative framework to support the four Projects and the other Core of this PPG. Its main focus is to allow the PPG investigators to dedicate their efforts on scientific advances to fulfill the goals of this PPG. The Core is led by Antoni Ribas, M.D. with the Core Co- lnvestigator David Gjertson, Ph.D., the senior PPG biostatistician. With this resubmission Core A incorporates a new service, bioinformatics support, which is a common need for the four Projects to allow adequate interpretation of high throughput data and the ability to use advanced algorithms for its analysis This will be provided by Stan Nelson, M.D. and Tom Graeber, Ph.D. It is supported by a staff biostatistician, a regulatory coordinator, an administrative and a fund manager, and a clinical trials coordinator and data manager. The Core has two specific Aims.
Aim 1 is focused on fostering the scientific aspects of the PPG providing oversight of meeting the milestones and objectives for each Project and Core. This will be facilitated by a series of in-process and formal evaluation meetings with the oversight of the Internal Advisory Board (lAB) made up by four senior Investigators at UCLA and Caltech, James Economou, M.D., Ph.D., James Heath, Ph.D. (Caltech), Owen Witte, M.D., and Hong Wu, Ph.D. This oversight and scientific support is extended by the engagement of three External Expert Consultants (EEC). Boris Bastian, M.D., Ph.D. (UCSF), Charles Sawyers, M.D. (MSKCC) and Cassian Yee (Fred Hutch).
Aim 2 is focused on providing the appropriate administrative and fiscal support for the daily activities within PPG. This includes administrative and coordination support, facilitating data and resource sharing plans, clinical trial and biospecimen regulatory, study coordination and data management.
The Admin Core will support all Projects and Cores to allow them to focus the efforts on the proposed scientific plans. As such, it is an integral part of the PPG scientific goals and provides Its relevance for the proposed patient-oriented research.
|Graham, Nicholas A; Minasyan, Aspram; Lomova, Anastasia et al. (2017) Recurrent patterns of DNA copy number alterations in tumors reflect metabolic selection pressures. Mol Syst Biol 13:914|
|Song, Chunying; Piva, Marco; Sun, Lu et al. (2017) Recurrent Tumor Cell-Intrinsic and -Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation. Cancer Discov 7:1248-1265|
|Nowicki, Theodore S; Akiyama, Ryan; Huang, Rong Rong et al. (2017) Infiltration of CD8 T Cells and Expression of PD-1 and PD-L1 in Synovial Sarcoma. Cancer Immunol Res 5:118-126|
|Shin, Daniel Sanghoon; Zaretsky, Jesse M; Escuin-Ordinas, Helena et al. (2017) Primary Resistance to PD-1 Blockade Mediated by JAK1/2 Mutations. Cancer Discov 7:188-201|
|Su, Yapeng; Wei, Wei; Robert, Lidia et al. (2017) Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance. Proc Natl Acad Sci U S A 114:13679-13684|
|Zaretsky, Jesse M; Garcia-Diaz, Angel; Shin, Daniel S et al. (2016) Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma. N Engl J Med 375:819-29|
|Hong, Candice Sun; Graham, Nicholas A; Gu, Wen et al. (2016) MCT1 Modulates Cancer Cell Pyruvate Export and Growth of Tumors that Co-express MCT1 and MCT4. Cell Rep 14:1590-1601|
|Ribas, Antoni; Shin, Daniel Sanghoon; Zaretsky, Jesse et al. (2016) PD-1 Blockade Expands Intratumoral Memory T Cells. Cancer Immunol Res 4:194-203|
|Homet Moreno, Blanca; Zaretsky, Jesse M; Garcia-Diaz, Angel et al. (2016) Response to Programmed Cell Death-1 Blockade in a Murine Melanoma Syngeneic Model Requires Costimulation, CD4, and CD8 T Cells. Cancer Immunol Res 4:845-857|
|Ribas, Antoni; Hu-Lieskovan, Siwen (2016) What does PD-L1 positive or negative mean? J Exp Med 213:2835-2840|
Showing the most recent 10 out of 57 publications