The DF/HCC Program in Biostatistics and Computational Biology fosters a broad range of research into statistical, computational and mathematical questions that arise in cancer investigations. Its members are engaged in trans-disciplinary and inter-programmatic projects across population, clinical and basic cancer research. Biostatistics has been a Program since the formation of DF/HCC and was rated as outstanding at the time ofthe last CCSG renewal. The name ofthe Program was changed to Biostatistics and Computational Biology in 2010, with the support ofthe EAB, in order to recognize the strong contribution of computational biologists. This Program is led by G. Parmigiani and R. Betensky and has 45 members from all member institutions. Members are affiliated with two departments at HSPH (Biostatistics and Epidemiology) and six departments at HMS (Biological Chemistry and Molecular Pharmacology, Population Medicine, Medicine, Health Care Policy, Pediatrics and Radiation Oncology). The Program has two Specific Aims: 1) to develop and disseminate new tools in statistical science and computational biology that respond to emerging areas of cancer research;and 2) to develop software for the implementation of these tools. The Biostatistics and Computational Biology Program continues to be highly successful in securing external funding. In 2009, peer-reviewed grant funding attributed to the Program was $14.4 million in total costs, of which nearly $7 million was from NCI (49%) and $7.4 million was from other peer-reviewed sponsors. Attesting to the productivity and interactivity ofthe Program are the 1,666 publications authored by members during the project period, of which 4.2% were intra-programmatic, 44% were inter-programmatic and 33% were inter-institutional collaborations.

Public Health Relevance

The DF/HCC Program in Biostatistics and Computational Biology fosters research into the mathematical, computational, and statistical questions that arise in cancer research. It supports methodological as well as inter-disciplinary and inter-programmatic research across population, clinical and basic cancer research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA006516-48
Application #
8469415
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2012-12-01
Budget End
2013-11-30
Support Year
48
Fiscal Year
2013
Total Cost
$85,563
Indirect Cost
$63,431
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
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Santana-Codina, Naiara; Roeth, Anjali A; Zhang, Yi et al. (2018) Oncogenic KRAS supports pancreatic cancer through regulation of nucleotide synthesis. Nat Commun 9:4945
Cox, Andrew G; Tsomides, Allison; Yimlamai, Dean et al. (2018) Yap regulates glucose utilization and sustains nucleotide synthesis to enable organ growth. EMBO J 37:
Oxnard, Geoffrey R; Hu, Yuebi; Mileham, Kathryn F et al. (2018) Assessment of Resistance Mechanisms and Clinical Implications in Patients With EGFR T790M-Positive Lung Cancer and Acquired Resistance to Osimertinib. JAMA Oncol 4:1527-1534
Patil, Prasad; Parmigiani, Giovanni (2018) Training replicable predictors in multiple studies. Proc Natl Acad Sci U S A 115:2578-2583

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