The purpose of the Biostatistics and Bioinformatics Core C is to provide consultation and collaboration on quantitative methods on all SPORE Projects, Developmental Projects, and Cores A and B. Successful collaboration between the project leaders and the biostatisticians and computational biologists in this SPORE, as well as members of the other Cores, is essential to achieve the goals of the projects. Members of this core will provide support for the design, analysis, and reporting of laboratory, animal, translational, genomic, and clinical studies. Depending on the project, these collaborations could range from short consultations to large collaborative projects, and will include assistance in preparation of grant applications and manuscripts related to the SPORE projects. The Core members will also provide statistical mentoring to the researchers, with a particular emphasis on Career Development Awardees and Developmental Project Investigators. Important for the success of the SPORE is the coordination of data management and quality control procedures. The biostatisticians and computational biologists are an integral part of this process at the DFCI, and will continue to provide input on the existing procedures, as well as recommendations on additional computational infrastructure, which might be necessary for this SPORE. To achieve the goals of the SPORE, we propose the following specific aims:
Specific Aim 1. To provide biostatistical collaboration for SPORE Projects, Developmental Projects, and Cores. This includes all aspects of design, conduct, analysis, and reporting of laboratory and clinical protocols, including coordination of laboratory results with patient characteristics and outcomes from the clinical studies.
Specific Aim 2. To provide consulting and statistical education to SPORE researchers.
Specific Aim 3. To provide or recommend supporting computational infrastructure. This includes collaboration with the multiple myeloma clinical research coordinators (CRC) and the data specialist at the Quality Assurance Office for Clinical Trials (QACT) on the collection of data, forms development, data processing, and quality assurance of clinical trials data. We will also provide consultation on computer databases, moving data between data bases for laboratory, animal, and relevant clinical studies Specific Aim 4. To provide bioinformatic support for analysis of high throughput transcriptional and genomic studies.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center (P50)
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Special Emphasis Panel (ZCA1-RPRB-0)
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Dana-Farber Cancer Institute
United States
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Das, D Sharma; Ray, A; Das, A et al. (2016) A novel hypoxia-selective epigenetic agent RRx-001 triggers apoptosis and overcomes drug resistance in multiple myeloma cells. Leukemia 30:2187-2197
Tagde, Ashujit; Rajabi, Hasan; Stroopinsky, Dina et al. (2016) MUC1-C induces DNA methyltransferase 1 and represses tumor suppressor genes in acute myeloid leukemia. Oncotarget 7:38974-38987
Lin, Jianhong; Zhang, Weihong; Zhao, Jian-Jun et al. (2016) A clinically relevant in vivo zebrafish model of human multiple myeloma to study preclinical therapeutic efficacy. Blood 128:249-52
Hunter, Zachary R; Xu, Lian; Yang, Guang et al. (2016) Transcriptome sequencing reveals a profile that corresponds to genomic variants in Waldenström macroglobulinemia. Blood 128:827-38
Ray, Arghya; Ravillah, Durgadevi; Das, Deepika S et al. (2016) A novel alkylating agent Melflufen induces irreversible DNA damage and cytotoxicity in multiple myeloma cells. Br J Haematol 174:397-409
Mullikin, Trey C; Rajkumar, S Vincent; Dispenzieri, Angela et al. (2016) Clinical characteristics and outcomes in biclonal gammopathies. Am J Hematol 91:473-5
An, Gang; Acharya, Chirag; Feng, Xiaoyan et al. (2016) Osteoclasts promote immune suppressive microenvironment in multiple myeloma: therapeutic implication. Blood 128:1590-603
Tagde, Ashujit; Rajabi, Hasan; Bouillez, Audrey et al. (2016) MUC1-C drives MYC in multiple myeloma. Blood 127:2587-97
Jiang, H; Acharya, C; An, G et al. (2016) SAR650984 directly induces multiple myeloma cell death via lysosomal-associated and apoptotic pathways, which is further enhanced by pomalidomide. Leukemia 30:399-408
Gullà, Annamaria; Di Martino, Maria Teresa; Gallo Cantafio, Maria Eugenia et al. (2016) A 13 mer LNA-i-miR-221 Inhibitor Restores Drug Sensitivity in Melphalan-Refractory Multiple Myeloma Cells. Clin Cancer Res 22:1222-33

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