? Biostatistics and Bioinformatics Core (Core 1) The Biostatistics and Bioinformatics Core will serve as an essential central resource to support the common quantitative needs of the three translational projects (Projects 1-3) as well as research developed within the Developmental Research (DRP) and Career Enhancement Programs (CEP). Building on decades of collaborative experience with Duke Brain SPORE investigators, the Core will use their expertise to help investigators frame study objectives and to ensure rigorous research design, conduct, analysis, and inference. The Core will provide biostatistical leadership and expertise in the study design, conduct, sample size calculations, randomization, monitoring, analysis, and reporting of clinical studies in brain cancer by collaborating at all project stages, from study design to interpretation and publication of results (Aim 1). In addition, Core 1 will contribute bioinformatics expertise to the conduct, analysis, and reporting of correlative studies associated with clinical trials (Aim 2). Expertise is provided for the analysis of data from polychromatic flow cytometry, intracellular staining, and TCR sequencing data. Finally, the Core will facilitate integration of clinical, laboratory, and correlative data generated by Projects and Cores, and to promote data integrity (Aim 3). In partnership with the Administrative Core, an exemplary research culture will be promoted where the best data management practices will be used throughout the SPORE in order to ensure data integrity, provenance and security, and reproducibility of study findings. Though oversight of quality control and quality assurance is provided by the Administrative Core, each individual Core has a role in maintaining data quality and providing an infrastructure within which reliable and valid data is gathered. This Core will provide infrastructure for the Clinical Trial Operations Core (Core 2) and the Biorepository, Pathology and Immune Monitoring Core (Core 3) to collect quality data, and will be responsible for the integration of data from various sources for statistical analyses. Taken together, the Biostatistics and Bioinformatics Core's contributions to investigating the safety, activity and mechanisms of novel immunotherapeutic approaches to the treatment of patients with glioma are critical to the achieving our shared goals of improving treatment of GBM.

Public Health Relevance

? Biostatistics and Bioinformatics (Core 1) Malignant primary brain tumors are generally fatal, with devastating consequences for patients and their families. The Duke SPORE in Brain Cancer proposes a coordinated program of scientific discovery and translational research to enhance treatment of brain tumors and minimize their sequelae. This Biostatistics and Bioinformatics Core will provide biostatistical and bioinformatics expertise to support all studies in the SPORE in Brain Cancer, to ensure that reliable, reproducible results are generated that have maximal impact.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA190991-06
Application #
9632608
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2019-09-01
Budget End
2020-08-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Dobrikov, Mikhail I; Dobrikova, Elena Y; Gromeier, Matthias (2018) Ribosomal RACK1:Protein Kinase C ?II Phosphorylates Eukaryotic Initiation Factor 4G1 at S1093 To Modulate Cap-Dependent and -Independent Translation Initiation. Mol Cell Biol 38:
Desjardins, Annick; Gromeier, Matthias; Herndon 2nd, James E et al. (2018) Recurrent Glioblastoma Treated with Recombinant Poliovirus. N Engl J Med 379:150-161
Gromeier, Matthias; Nair, Smita K (2018) Recombinant Poliovirus for Cancer Immunotherapy. Annu Rev Med 69:289-299
Lin, Jiaxing; Gresham, Jeremy; Wang, Tongrong et al. (2018) bcSeq: an R package for fast sequence mapping in high-throughput shRNA and CRISPR screens. Bioinformatics 34:3581-3583
Swartz, Adam M; Reap, Elizabeth; Norberg, Pamela et al. (2018) A simple and enzyme-free method for processing infiltrating lymphocytes from small mouse tumors for ELISpot analysis. J Immunol Methods 459:90-93
Chong, Mengyang; Yin, Tao; Chen, Rui et al. (2018) CD36 initiates the secretory phenotype during the establishment of cellular senescence. EMBO Rep 19:
Thompson, Eric M; Brown, Michael; Dobrikova, Elena et al. (2018) Poliovirus Receptor (CD155) Expression in Pediatric Brain Tumors Mediates Oncolysis of Medulloblastoma and Pleomorphic Xanthoastrocytoma. J Neuropathol Exp Neurol 77:696-702
Woroniecka, Karolina; Chongsathidkiet, Pakawat; Rhodin, Kristen et al. (2018) T-Cell Exhaustion Signatures Vary with Tumor Type and Are Severe in Glioblastoma. Clin Cancer Res 24:4175-4186
Woroniecka, Karolina I; Rhodin, Kristen E; Chongsathidkiet, Pakawat et al. (2018) T-cell Dysfunction in Glioblastoma: Applying a New Framework. Clin Cancer Res 24:3792-3802
Zhao, Lintao; He, Ran; Long, Haixia et al. (2018) Late-stage tumors induce anemia and immunosuppressive extramedullary erythroid progenitor cells. Nat Med 24:1536-1544

Showing the most recent 10 out of 39 publications