The PS-OC has organized a leadership structure to provide expertise and fully support all initiatives. The leadership consists of the Principal Investigator, Franziska Michor, PhD, and the Senior Co-investigator, Eric Holland, MD, PhD. Support personnel consists of the Administrator/Education Director, Desert Horse-Grant, Research/Project Manager, Raquel Sanchez, MBA, and Biostatistician, Mithat Gonen, PhD. The PS-OC leadership and support personnel, also known as the Administration, will work collectively to support and accomplish the proposed research projects, core, educational and training unit, outreach and dissemination unit, and pilot and trans-network projects. The PS-OC Steering Committee (PSC) will meet annually and will consist of two investigators from each PS-OC. The Principal Investigator, Dr. Franziska Michor, and the Senior Co-investigator, Dr. Holland, will represent our PS-OC at the PSC. The Center Advisory Committee (CAC) will bring together investigators with expertise in both the physical sciences and the basic sciences to form a group of voting and non-voting members. Specifically, the CAC will be made up of the following voting members: two physical sciences members, Franziska Michor (PD/PI), PhD, and Chris Sander, PhD;two biological/clinical members, William Pao, MD/PhD, and Eric Holland, MD/PhD;and an NCI appointed voting member. Non-voting members will include at least two external advisors with a wide spectrum of expertise, One external advisor will have a broad proficiency in signal transduction, cancer biology, program management and a focus on a tumor type unaffiliated with the projects of the PS-OC. At least one other external advisor will have advanced knowledge of one or more of the following: evolutionary theory, non-evolutionary cancer systems, developmental biology, brain cancer, lung cancer, leukemia, applied mathematics or engineering/microfabrication.

Public Health Relevance

The PS-OC has organized a leadership structure to provide expertise and fully support all initiatives. This structure is essential for the successful completion of the research projects proposed in the PS-OC.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA143798-05
Application #
8566846
Study Section
Special Emphasis Panel (ZCA1-SRLB-9)
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
5
Fiscal Year
2013
Total Cost
$137,642
Indirect Cost
$21,619
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
Wee, Boyoung; Pietras, Alexander; Ozawa, Tatsuya et al. (2016) ABCG2 regulates self-renewal and stem cell marker expression but not tumorigenicity or radiation resistance of glioma cells. Sci Rep 6:25956
Badri, H; Pitter, K; Holland, E C et al. (2016) Optimization of radiation dosing schedules for proneural glioblastoma. J Math Biol 72:1301-36
Amato, Katherine R; Wang, Shan; Tan, Li et al. (2016) EPHA2 Blockade Overcomes Acquired Resistance to EGFR Kinase Inhibitors in Lung Cancer. Cancer Res 76:305-18
Bolouri, Hamid; Zhao, Lue Ping; Holland, Eric C (2016) Big data visualization identifies the multidimensional molecular landscape of human gliomas. Proc Natl Acad Sci U S A 113:5394-9
Garvey, Colleen M; Spiller, Erin; Lindsay, Danika et al. (2016) A high-content image-based method for quantitatively studying context-dependent cell population dynamics. Sci Rep 6:29752
Xue, Qiong; Lu, Yao; Eisele, Markus R et al. (2015) Analysis of single-cell cytokine secretion reveals a role for paracrine signaling in coordinating macrophage responses to TLR4 stimulation. Sci Signal 8:ra59
Kleppe, Maria; Kwak, Minsuk; Koppikar, Priya et al. (2015) JAK-STAT pathway activation in malignant and nonmalignant cells contributes to MPN pathogenesis and therapeutic response. Cancer Discov 5:316-31
Meador, Catherine B; Jin, Hailing; de Stanchina, Elisa et al. (2015) Optimizing the sequence of anti-EGFR-targeted therapy in EGFR-mutant lung cancer. Mol Cancer Ther 14:542-52
Foo, Jasmine; Liu, Lin L; Leder, Kevin et al. (2015) An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer. PLoS Comput Biol 11:e1004350
Michor, Franziska; Beal, Kathryn (2015) Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort. Cell 163:1059-63

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