The Biostatistics Shared Resource (BSR) of the Mayo Clinic Cancer Center (MCCC) has provided expert statistical collaboration with MCCC investigators for over 35 years. The purpose is to provide statistical and biomathematical collaboration for the development and conduct of peer-reviewed cancer research generated by MCCC investigators. Research encompasses basic science, clinical trials, epidemiologic research, and other translational and educational research. The primary usage of CCSG funds is to support statistical and biomathematical collaboration on pilot projects, for assistance to investigators in developing approved research projects not otherwise funded but leading towards external funding, and to support unanticipated needs for statistical collaboration on MCCC approved projects. Over its history the BSR has undergone a natural and deliberate evolution and expansion, spurred by the expanding research activities of the MCCC. In the current grant period the BSR has successfully and strategically expanded in two primary areas: high dimensional genomic and proteomic data analysis (4 new faculty with this expertise), and to all 3 MCCC campuses. BSR faculty are physically located on all 3 MCCC campuses, and the entire resource communicates regularly and effectively through multiple mechanisms to ensure coordinated collaboration. The BSR has multiple focus areas (teams) tied together into a well-organized, efficient core. These are: (I) a Clinical Trials team responsible for cancer clinical trials, associated translational research, interventional psychosocial research, and patient and public education research projects, (II) a Population Science team responsible for providing statistical collaboration and data management support for cancer observational studies, including genetic and molecular epidemiology, (III) a Quality of Life team responsible for providing general and specific collaboration, measurement tools, and analysis for MCCC investigators investigating the impact of clinical and psychosocial interventions on cancer patients, families, caregivers, and others, and (IV) a Biomathematics team that provides collaborative expertise in the mathematical aspects of imaging, data processing and analysis, mathematical modeling of diease processes, and general mathematical or algorithmic issues. The BSR provides statistical and biomathematical collaboration to MCCC investigators across all three MCCC campuses. The resource has been remarkably productive, with 528 peer reviewed publications in the current grant period, and has collaborated on 104 NIH or NIH equivalent grants in the current grant period.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA015083-39
Application #
8465668
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
39
Fiscal Year
2013
Total Cost
$510,880
Indirect Cost
$157,202
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Wallace, Sumer K; Halverson, Jessica W; Jankowski, Christopher J et al. (2018) Optimizing Blood Transfusion Practices Through Bundled Intervention Implementation in Patients With Gynecologic Cancer Undergoing Laparotomy. Obstet Gynecol 131:891-898
Shrestha, Shikshya; Zhang, Cheng; Jerde, Calvin R et al. (2018) Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase. Clin Pharmacol Ther 104:709-718
Hu, G; Dasari, S; Asmann, Y W et al. (2018) Targetable fusions of the FRK tyrosine kinase in ALK-negative anaplastic large cell lymphoma. Leukemia 32:565-569
Geller, James I; Fox, Elizabeth; Turpin, Brian K et al. (2018) A study of axitinib, a VEGF receptor tyrosine kinase inhibitor, in children and adolescents with recurrent or refractory solid tumors: A Children's Oncology Group phase 1 and pilot consortium trial (ADVL1315). Cancer 124:4548-4555
Luchtel, Rebecca A; Dasari, Surendra; Oishi, Naoki et al. (2018) Molecular profiling reveals immunogenic cues in anaplastic large cell lymphomas with DUSP22 rearrangements. Blood 132:1386-1398
Oishi, Naoki; Brody, Garry S; Ketterling, Rhett P et al. (2018) Genetic subtyping of breast implant-associated anaplastic large cell lymphoma. Blood 132:544-547
DuBois, Steven G; Mosse, Yael P; Fox, Elizabeth et al. (2018) Phase II Trial of Alisertib in Combination with Irinotecan and Temozolomide for Patients with Relapsed or Refractory Neuroblastoma. Clin Cancer Res 24:6142-6149
Farber, Benjamin A; Lalazar, Gadi; Simon, Elana P et al. (2018) Non coding RNA analysis in fibrolamellar hepatocellular carcinoma. Oncotarget 9:10211-10227
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Dasari, Surendra; Newsom, Sean A; Ehrlicher, Sarah E et al. (2018) Remodeling of skeletal muscle mitochondrial proteome with high-fat diet involves greater changes to ?-oxidation than electron transfer proteins in mice. Am J Physiol Endocrinol Metab 315:E425-E434

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