? BIOSTATISTICS SHARED RESOURCE The Biostatistics Shared Resource (BSR) provides basic, clinical, translational, and population science researchers at the Duke Cancer Institute (DCI) access to state-of-the-art expertise in biostatistics and quantitative methods for study design, analysis, and reporting. The resource employs a distributed partnership model with embedded biostatistics teams in disease-specific clusters to provide ongoing development of research, grant applications, and clinical protocols. The BSR Director and Managing Director are supported by an expert cadre of 10 faculty and 15 staff who partner with DCI clinical/disease groups and Research Programs. The resource also participates in and co-leads the development and testing of appropriate systems for trial data management and linkages through Medidata Rave, Medidata Balance, RedCap, and other tools. The BSR also provides assistance with clinical trial compliance, reporting, and oversight and provides scientific review of all DCI protocols. The resource also has extended its activities into cancer research areas including health services research, observational studies, population science, epidemiology, basic sciences, and others to meet the needs of DCI members. The BSR works closely with the DCI's Bioinformatics shared resource, the DCI Information Systems shared resource as well as the DCI Chief Data Officer, to establish appropriate breadth and range of expertise to meet DCI data and analytic needs. These partnerships have strengthened grant funding, high impact publications, and created an enhanced research-training environment at DCI. From 2017 and 2018, a total of 832 activities for 139 DCI investigators, including 312 analyses, 123 grant applications, 192 manuscripts, 73 database/study builds, 108 protocols, and 24 Letters of Intent across the disease-sites and CCSG Research Programs. In 2018, the Biostatistics Shared Resource provided services to 139 investigators, 100% of whom were DCI members, accounting for 100% of usage and representing all 8 DCI Research Programs. Use of this shared resource by DCI Members, contributed to 488 publications over the project period, 67 of which were in high impact journals.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014236-47
Application #
10118123
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-01-01
Project End
2024-12-31
Budget Start
2021-01-01
Budget End
2021-12-31
Support Year
47
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Duan, Bensong; Hu, Jiangfeng; Liu, Hongliang et al. (2018) Genetic variants in the platelet-derived growth factor subunit B gene associated with pancreatic cancer risk. Int J Cancer 142:1322-1331
Wu, Mengxi; Huang, Po-Hsun; Zhang, Rui et al. (2018) Circulating Tumor Cell Phenotyping via High-Throughput Acoustic Separation. Small 14:e1801131
Vlahovic, Gordana; Meadows, Kellen L; Hatch, Ace J et al. (2018) A Phase I Trial of the IGF-1R Antibody Ganitumab (AMG 479) in Combination with Everolimus (RAD001) and Panitumumab in Patients with Advanced Cancer. Oncologist 23:782-790
Xu, Yinghui; Liu, Hongliang; Liu, Shun et al. (2018) Genetic variant of IRAK2 in the toll-like receptor signaling pathway and survival of non-small cell lung cancer. Int J Cancer 143:2400-2408
Feng, Yun; Wang, Yanru; Liu, Hongliang et al. (2018) Novel genetic variants in the P38MAPK pathway gene ZAK and susceptibility to lung cancer. Mol Carcinog 57:216-224
Naqvi, Ibtehaj; Gunaratne, Ruwan; McDade, Jessica E et al. (2018) Polymer-Mediated Inhibition of Pro-invasive Nucleic Acid DAMPs and Microvesicles Limits Pancreatic Cancer Metastasis. Mol Ther 26:1020-1031
Wen, Juyi; Liu, Hongliang; Wang, Lili et al. (2018) Potentially Functional Variants of ATG16L2 Predict Radiation Pneumonitis and Outcomes in Patients with Non-Small Cell Lung Cancer after Definitive Radiotherapy. J Thorac Oncol 13:660-675
Li, Bo; Wang, Yanru; Xu, Yinghui et al. (2018) Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival. Int J Cancer 142:2303-2312
Gearhart-Serna, Larisa M; Jayasundara, Nishad; Tacam Jr, Moises et al. (2018) Assessing Cancer Risk Associated with Aquatic Polycyclic Aromatic Hydrocarbon Pollution Reveals Dietary Routes of Exposure and Vulnerable Populations. J Environ Public Health 2018:5610462
Bakthavatsalam, Subha; Sleeper, Mark L; Dharani, Azim et al. (2018) Leveraging ?-Glutamyl Transferase To Direct Cytotoxicity of Copper Dithiocarbamates against Prostate Cancer Cells. Angew Chem Int Ed Engl 57:12780-12784

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