The Cancer Genetics Program's overall mission is to expand the understanding of the genetic underpinnings of cancer development, and to use this information 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, such as: cancer gene discovery in both human cancer samples and model organisms, technology development and efficient application of high throughput DNA sequencing, detailed cancer genome analysis, high throughput approaches to cancer gene analysis and annotation, identification and analysis of both cancer initiating cells and induced pluripotent stem cells, clinical cancer genetics and risk counseling, and development and use of CLIA-certified testing for clinically relevant cancer diagnostics.
The specific aims of the Program are to: 1. Support the discovery of new genes and cellular pathways implicated in cancer. 2. Enhance identification and understanding of the germline genetic variations that influence cancer risk and response to therapy. 3. Increase the understanding of the full spectrum of somatic mutation that occurs in cancer and how it contributes to the genesis and progression of cancer. 4. Support the translation of these research findings to both clinical research in oncology and routine cancer patient care. The Program has been funded by the CCSG since 2000 when DF/HCC was established, and received an """"""""Outstanding"""""""" merit score at the last renewal in 2005. The Program's membership includes 100 investigators, representing all seven institutions in the consortium, 14 departments of HMS, and one department of HSPH. In 2009, the Program received $52.5 million in cancer-relevant funding (total costs), which includes $18.5 million from NCI and $25 million from other peer-reviewed sponsors. Program members have published 1,630 publications over the project period (2006 to 2010), of which 9% were intra-programmatic, 44% were inter-programmatic and 32% were inter-institutional.

Public Health Relevance

The Cancer Genetics Program aims to expand the understanding of the genetic underpinnings of cancer development, and to use this information to improve the care of cancer patients. The Program brings together laboratory and clinical scientists to accelerate the translation of basic discoveries in genetics to the improvement of patient outcomes.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA006516-47
Application #
8227651
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2012-05-15
Budget End
2012-11-30
Support Year
47
Fiscal Year
2012
Total Cost
$92,665
Indirect Cost
$69,350
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
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
Mohr, Stephanie E; Rudd, Kirstin; Hu, Yanhui et al. (2018) Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells. G3 (Bethesda) 8:631-641
Odiaka, Emeka; Lounsbury, David W; Jalloh, Mohamed et al. (2018) Effective Project Management of a Pan-African Cancer Research Network: Men of African Descent and Carcinoma of the Prostate (MADCaP). J Glob Oncol :1-12

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