The Biostatistics and Bioinformatics Core (BABC) provides statistical collaboration and data management support for each of the SPORE projects, the developmental projects, and the other Cores. In addition, the BABC also provides collaboration and support in bioinformatics and computational biology research for SPORE projects as appropriate. In the past funding period the BABC established the infrastructure to link the Lymphoma clinical and research databases between Ul and MC. This system is fully functional and allows web-based registration and data entry from both sites into a common database. The BABC developed the statistical plan for the 4 clinical trials (LS0388, LS0382, LS038B, LS058C) initiated in the SPORE as well as the SPORE imaging trial (LS0383). This core provides data management for each of these trials, monitors adverse events in collaboration with the Clinical Research Core, and prepares data summaries for manuscript preparation. The BABC has been very active in preparing the statistical plan for each of the four Projects in this competitive renewal. Each of the projects presented in this application reflects input from members of the BABC on study design, analysis plan, and bioinformatics needs. These projects span a wide range of approaches and analyses required. The BABC builds upon the innovative and time-tested procedures and systems developed by Mayo Clinic, one of the largest statistical groups in the country whose members have collaborated on more than 8,000 clinical and basic science research studies since 1966, as well as the Coordinated Laboratory for Computational Genomics at the University of Iowa founded in 1996. The BABC will provide statistical and bioinformatics support across different fields, including epidemiological studies, basic sciences including translational and immunologic correlative studies, gene microarray and imaging, clinical trials, and gene and mutation discovery, expression analysis and genomics, and information management. The comprehensive nature of the BABC, which will have activities at both the MC and Ul, assures each SPORE investigator access to statistical and bioinformatics expertise that includes collaborative development of study designs and analysis plans, state of the art data analysis and interpretation, data management resources, and abstract and manuscript preparation. The BABC also provides a mechanism for the management and integration of both existing and newly collected data through consistent and compatible data handling. Areas of support include database development, data form development and processing, data collection and entry, data archiving, quality control, and management of information relating to gene mutation identification and genotyping data for disease linkage experiments. This Core complements and assists the efforts of the Clinical Research and Biospecimens Cores by providing superior data management and experience with tissue registries. The strengths of the BABC are our collaboration with each of the projects and cores, the ability to utilize the established centralized research database as well as the operational and statistical infrastructure already in place in the UI/MC Lymphoma SPORE, and the breadth of expertise provided by BABC personnel.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA097274-08
Application #
7878117
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
8
Fiscal Year
2009
Total Cost
$167,075
Indirect Cost
Name
University of Iowa
Department
Type
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52242
Maurer, M J; Habermann, T M; Shi, Q et al. (2018) Progression-free survival at 24 months (PFS24) and subsequent outcome for patients with diffuse large B-cell lymphoma (DLBCL) enrolled on randomized clinical trials. Ann Oncol 29:1822-1827
Shenoy, Niraj; Creagan, Edward; Witzig, Thomas et al. (2018) Ascorbic Acid in Cancer Treatment: Let the Phoenix Fly. Cancer Cell 34:700-706
Ammann, Eric M; Shanafelt, Tait D; Wright, Kara B et al. (2018) Updating survival estimates in patients with chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) based on treatment-free interval length. Leuk Lymphoma 59:643-649
Wang, Sophia S; Carrington, Mary; Berndt, Sonja I et al. (2018) HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes. Cancer Res 78:4086-4096
Chapuy, Bjoern; Stewart, Chip; Dunford, Andrew J et al. (2018) Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat Med 24:679-690
Leal, Alexis D; Allmer, Cristine; Maurer, Matthew J et al. (2018) Variability of performance status assessment between patients with hematologic malignancies and their physicians. Leuk Lymphoma 59:695-701
Leelakanok, Nattawut; Geary, Sean M; Salem, Aliasger K (2018) Antitumor Efficacy and Toxicity of 5-Fluorouracil-Loaded Poly(Lactide Co-glycolide) Pellets. J Pharm Sci 107:690-697
Ghesquières, Hervé; Larrabee, Beth R; Casasnovas, Olivier et al. (2018) A susceptibility locus for classical Hodgkin lymphoma at 8q24 near MYC/PVT1 predicts patient outcome in two independent cohorts. Br J Haematol 180:286-290
Sharma, Ayush; Oishi, Naoki; Boddicker, Rebecca L et al. (2018) Recurrent STAT3-JAK2 fusions in indolent T-cell lymphoproliferative disorder of the gastrointestinal tract. Blood 131:2262-2266
Fama, Angelo; Xiang, Jinhua; Link, Brian K et al. (2018) Human Pegivirus infection and lymphoma risk and prognosis: a North American study. Br J Haematol 182:644-653

Showing the most recent 10 out of 387 publications