Researchers trained in quantitative sciences have unprecedented potential to directly advance both cancer research and cancer treatment. The mission of the Cancer Data Sciences Program is to fulfill this potential across the spectrum of the efforts of the DF/HCC consortium. DF/HCC has a broad spectrum of research activities, a majority of which are data-intensive and require intellectual input and innovative contributions from Cancer Data Sciences Program members. As a consequence, the mission of the Program needs to be both broad and adaptable to the needs of the DF/HCC cancer research community. The program has 57 members, representing seven DF/HCC institutions and 11 academic departments. In 2014 peer-reviewed grant funding attributed to the Program was $5.4 million in total costs from the NCI and $4.4 million from other sponsors. During the current funding period, Cancer Data Sciences Program members published 1,259 cancer-relevant papers. Of these 45% were inter-institutional, 9% were intra-programmatic and 62% were inter-programmatic collaborations between two or more DF/HCC members. Overall, when counted once, 27% of DF/HCC publications were inter-programmatic collaborations.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA006516-56
Application #
10062925
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-03-10
Project End
2021-11-30
Budget Start
2020-12-01
Budget End
2021-11-30
Support Year
56
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
Choudhury, Atish D; Gray, Kathryn P; Supko, Jeffrey G et al. (2018) A dose finding clinical trial of cabozantinib (XL184) administered in combination with abiraterone acetate in metastatic castration-resistant prostate cancer. Prostate :
Watson, Noreen L; Mull, Kristin E; Heffner, Jaimee L et al. (2018) Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions. J Med Internet Res 20:e10351
Pednekar, M S; Nagler, E M; Gupta, P C et al. (2018) Scaling up a tobacco control intervention in low resource settings: a case example for school teachers in India. Health Educ Res 33:218-231
Braun, Danielle; Yang, Jiabei; Griffin, Molly et al. (2018) A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations. J Genet Couns 27:1187-1199
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
Agoston, Agoston T; Pham, Thai H; Odze, Robert D et al. (2018) Columnar-Lined Esophagus Develops via Wound Repair in a Surgical Model of Reflux Esophagitis. Cell Mol Gastroenterol Hepatol 6:389-404
Barber, Lauren; Gerke, Travis; Markt, Sarah C et al. (2018) Family History of Breast or Prostate Cancer and Prostate Cancer Risk. Clin Cancer Res 24:5910-5917

Showing the most recent 10 out of 411 publications