The Breast Oncology Program (Program) is comprised of 39 Program Members from 13 different UCSF departments. The Program supports and stimulates basic, clinical, and population research in breast cancer and facilitates the translation of these findings into improved cancer management and control. The Program's themes are as follows: (1) epidemiology and etiology;(2) cancer prevention, risk models, and early detection;(3) genetics and biology of cancer progression;(4) new therapeutic targets and approaches;and (5) outreach, clinical care delivery, and outcomes. Research in the Program is supported by the Bay Area Breast Cancer SPORE, eight large multi-disciplinary, multi-institutional projects that support work in one or more themes, a multi-campus University of California Office of the President sponsored ATHENA Breast Health Network integrating clinical care and research by numerous individual investigator-initiated grants. Since the last competitive renewal much effort has been dedicated towards investigator initiated therapeutic trials, innovative companion diagnostic clinical trials, testing new radiation oncology treatment delivery systems including correlative science, as well as establishing a CLIA-compliant testing laboratory and an integrative bioinformatics and IT infrastructure. The Program has become more cohesive, has a high level of interaction that has led to new grant funding with joint program and project leaders and co-investigators across disciplines. Interactions between Program members are encouraged in several discussion forums, including a weekly multidisciplinary seminar, an annual retreat, a weekly tumor board, a bi-weekly breast site study review meeting, a monthly community forum, and a patient-physician management discussion series. The Program has $22,189,900 total peer-reviewed support for the last budget year. The Program has 17% intra-programmatic and 17% inter-programmatic publications.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA082103-16
Application #
8693931
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
16
Fiscal Year
2014
Total Cost
$71,889
Indirect Cost
$26,224
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
John, Constance M; Phillips, Nancy J; Din, Richard et al. (2016) Lipooligosaccharide Structures of Invasive and Carrier Isolates of Neisseria meningitidis Are Correlated with Pathogenicity and Carriage. J Biol Chem 291:3224-38
Shatsky, Maxim; Dong, Ming; Liu, Haichuan et al. (2016) Quantitative Tagless Copurification: A Method to Validate and Identify Protein-Protein Interactions. Mol Cell Proteomics 15:2186-202
Nordström, Tobias; Van Blarigan, Erin L; Ngo, Vy et al. (2016) Associations between circulating carotenoids, genomic instability and the risk of high-grade prostate cancer. Prostate 76:339-48
Bulut-Karslioglu, Aydan; Biechele, Steffen; Jin, Hu et al. (2016) Inhibition of mTOR induces a paused pluripotent state. Nature 540:119-123
Akutagawa, J; Huang, T Q; Epstein, I et al. (2016) Targeting the PI3K/Akt pathway in murine MDS/MPN driven by hyperactive Ras. Leukemia 30:1335-43
Baeza-Raja, Bernat; Sachs, Benjamin D; Li, Pingping et al. (2016) p75 Neurotrophin Receptor Regulates Energy Balance in Obesity. Cell Rep 14:255-68
Ko, Andrew H; Bekaii-Saab, Tanios; Van Ziffle, Jessica et al. (2016) A Multicenter, Open-Label Phase II Clinical Trial of Combined MEK plus EGFR Inhibition for Chemotherapy-Refractory Advanced Pancreatic Adenocarcinoma. Clin Cancer Res 22:61-8
Nosbaum, Audrey; Prevel, Nicolas; Truong, Hong-An et al. (2016) Cutting Edge: Regulatory T Cells Facilitate Cutaneous Wound Healing. J Immunol 196:2010-4
Phan, An T; Fernandez, Samantha G; Somberg, Jessica J et al. (2016) Epstein-Barr virus latency type and spontaneous reactivation predict lytic induction levels. Biochem Biophys Res Commun 474:71-5
Chang, Matthew T; Asthana, Saurabh; Gao, Sizhi Paul et al. (2016) Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity. Nat Biotechnol 34:155-63

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