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 #
5P30CA006516-55
Application #
9842698
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2019-12-01
Budget End
2020-11-30
Support Year
55
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
Kamareddine, Layla; Wong, Adam C N; Vanhove, Audrey S et al. (2018) Activation of Vibrio cholerae quorum sensing promotes survival of an arthropod host. Nat Microbiol 3:243-252
Schilit, Samantha L P; Morton, Cynthia C (2018) 3C-PCR: a novel proximity ligation-based approach to phase chromosomal rearrangement breakpoints with distal allelic variants. Hum Genet 137:55-62
Sievers, Quinlan L; Gasser, Jessica A; Cowley, Glenn S et al. (2018) Genome-wide screen identifies cullin-RING ligase machinery required for lenalidomide-dependent CRL4CRBN activity. Blood 132:1293-1303
Kelley, Katherine A; Wieghard, Nicole; Chin, Yuki et al. (2018) MiR-486-5p Downregulation Marks an Early Event in Colorectal Carcinogenesis. Dis Colon Rectum 61:1290-1296
Yao, Lina; Seaton, Sarah Craven; Ndousse-Fetter, Sula et al. (2018) A selective gut bacterial bile salt hydrolase alters host metabolism. Elife 7:
Jalbut, Marla M; Brunner, Andrew M; Amrein, Philip C et al. (2018) Early infectious complications among patients treated with induction compared to hypomethylating therapy for acute myeloid leukemia. Leuk Lymphoma 59:988-991
Tapela, Neo M; Peluso, Michael J; Kohler, Racquel E et al. (2018) A Step Toward Timely Referral and Early Diagnosis of Cancer: Implementation and Impact on Knowledge of a Primary Care-Based Training Program in Botswana. Front Oncol 8:187
Roemer, Margaretha G M; Redd, Robert A; Cader, Fathima Zumla et al. (2018) Major Histocompatibility Complex Class II and Programmed Death Ligand 1 Expression Predict Outcome After Programmed Death 1 Blockade in Classic Hodgkin Lymphoma. J Clin Oncol 36:942-950
Francini, Edoardo; Gray, Kathryn P; Xie, Wanling et al. (2018) Time of metastatic disease presentation and volume of disease are prognostic for metastatic hormone sensitive prostate cancer (mHSPC). Prostate 78:889-895
Hu, Yanhui; Vinayagam, Arunachalam; Nand, Ankita et al. (2018) Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data. Nucleic Acids Res 46:D567-D574

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