The Biostatistics Resource is a joint effort between Roswell Park Cancer Institute and the Department of Biostatistics at the University at Buffalo. The objective of the Biostatistics Resource is to be strategically involved in the design, implementation, and analysis of scientific data generated by CCSG program members. This includes the articulation of study objectives, statement of hypotheses, the derivation of appropriate designs and models for the cost effective achievement of a study's objectives, the assurance that modern and appropriate statistical methods are used, monitoring interim and final analyses, and assisting in the writing of abstracts and manuscripts. The expertise provided by the staff ensures that the yield of useful information from the scientific studies conducted at Roswell Park Cancer Institute is maximized while the costs are minimized. With Alan Hutson, PhD, Chair of Biostatistics at both the University at Buffalo and Roswell Park Cancer Institute, Gregory Wilding, PhD, Assistant Chair, and several newly appointed PhD and MS level biostatisticians, the Resource has improved dramatically with respect to its technical expertise. This expertise spans biostatistics, molecular epidemiology, bioinformatics and statistical genetics. Most Resource projects require the use of standard and commercially available tools. More recently, with the explosion of high throughput technologies, particular problems require an innovative solution for which the Resource develops novel methodology and/or custom software. Within the Biostatistics Resource, the Biotechnical, Analytic and Visualization Resource (BAVR), headed by Daniel Gaile, PhD, has been developed to spearhead software development for complex statistical genetics and bioinformatics problems. The Resource's expanded and enhanced capabilities are made known to CCSG Program leaders through referrals, by the Scientific Review Committee's requirement that protocols and grant applications have input from a biostatistician, the mandate by funding agencies that proposals include statistical designs with proper power analyses, formal seminars given by Resource staff, and presentations at Program meetings. Strong synergies have also developed in terms of the relationship with the Statistics and Data Coordinating center for the Gynecologic Oncology Group (GOG). In addition, the Resource has been a fertile ground for training graduate students in biostatistics. The Resource is used by all six Programs. $251,993 in CCSG support is requested, representing 22% of the total operating budget.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA016056-36
Application #
8375973
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2014-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
36
Fiscal Year
2012
Total Cost
$756,332
Indirect Cost
$299,400
Name
Roswell Park Cancer Institute Corp
Department
Type
DUNS #
824771034
City
Buffalo
State
NY
Country
United States
Zip Code
14263
Eng, Diana G; Kaverina, Natalya V; Schneider, Remington R S et al. (2018) Detection of renin lineage cell transdifferentiation to podocytes in the kidney glomerulus with dual lineage tracing. Kidney Int 93:1240-1246
Ling, Xiang; Wu, Wenjie; Fan, Chuandong et al. (2018) An ABCG2 non-substrate anticancer agent FL118 targets drug-resistant cancer stem-like cells and overcomes treatment resistance of human pancreatic cancer. J Exp Clin Cancer Res 37:240
Chung, Sejin; Vail, Paris J; Witkiewicz, Agnieszka K et al. (2018) Coordinately targeting cell cycle checkpoint functions in integrated models of pancreatic cancer. Clin Cancer Res :
Mohammadpour, Hemn; O'Neil, Rachel; Qiu, Jingxin et al. (2018) Blockade of Host ?2-Adrenergic Receptor Enhances Graft-versus-Tumor Effect through Modulating APCs. J Immunol 200:2479-2488
Hsu, Alice H; Lum, Michelle A; Shim, Kang-Sup et al. (2018) Crosstalk between PKC? and PI3K/AKT Signaling Is Tumor Suppressive in the Endometrium. Cell Rep 24:655-669
Sandlesh, Poorva; Juang, Thierry; Safina, Alfiya et al. (2018) Uncovering the fine print of the CreERT2-LoxP system while generating a conditional knockout mouse model of Ssrp1 gene. PLoS One 13:e0199785
Zhang, Dingxiao; Zhao, Shuhong; Li, Xinyun et al. (2018) Prostate Luminal Progenitor Cells in Development and Cancer. Trends Cancer 4:769-783
Hong, Chi-Chen; Sucheston-Campbell, Lara E; Liu, Song et al. (2018) Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 27:321-330
Damayanti, Nur P; Budka, Justin A; Khella, Heba W Z et al. (2018) Therapeutic Targeting of TFE3/IRS-1/PI3K/mTOR Axis in Translocation Renal Cell Carcinoma. Clin Cancer Res 24:5977-5989
Mayor, Paul; Starbuck, Kristen; Zsiros, Emese (2018) Adoptive cell transfer using autologous tumor infiltrating lymphocytes in gynecologic malignancies. Gynecol Oncol 150:361-369

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