The overall mission of the Cancer Genetics Program is to expand our understanding of the genetic basis of cancer development and to use this knowledge to improve the care of cancer patients. To advance this mission, the Program has assembled a large and vibrant membership, including investigators with a broad range of scientific interests in all major aspects of cancer genetics. Particular areas of focus include: 1) cancer gene discovery and functional characterization (in both human cancers and model organisms), 2) technology development and application (e.g., massively parallel sequencing, emerging genomic technologies, and single cell analyses), 3) computational analysis (e.g., algorithm development, bioinformatics methods, and genome annotation approaches), 4) genetic and molecular studies of cancer progenitor cells, 5) analysis of mechanisms of cancer targeted therapy resistance, 6) clinical cancer genetics, including risk counseling, and 7) delivery of state-of-the-art CLIA-certified testing of both cancer gene panels and of whole exomes for cancer precision medicine. The program has 111 members, representing seven DF/HCC institutions and 14 academic departments. In 2014 peer-reviewed grant funding attributed to the Program was $8.2 million in total costs from the NCI and $25.1 million from other sponsors. During the current funding period, Cancer Genetics Program members published 2,332 cancer-relevant papers. Of these 31% were inter-institutional, 15% were intra- programmatic, and 48% 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 #
10062927
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
McBrayer, Samuel K; Mayers, Jared R; DiNatale, Gabriel J et al. (2018) Transaminase Inhibition by 2-Hydroxyglutarate Impairs Glutamate Biosynthesis and Redox Homeostasis in Glioma. Cell 175:101-116.e25
Stopsack, Konrad H; Gonzalez-Feliciano, Amparo G; Peisch, Samuel F et al. (2018) A Prospective Study of Aspirin Use and Prostate Cancer Risk by TMPRSS2:ERG Status. Cancer Epidemiol Biomarkers Prev 27:1231-1233
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

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