Biostatistics and Bioinformatics Shared Resource Facility

生物统计学和生物信息学共享资源设施

• 批准号: 10470104
• 负责人: Heidi L Weiss
• 金额: $ 23.35万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-08 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10470104
• 关键词: Address; Adoption; Appalachian Region; Applications Grants; Area; Basic Science; Bioinformatics; Bioinformatics Shared Resource; Biological; Biological Markers; Biometry; Cancer Center; Cancer Center Support Grant; Cancer Control; Cancer Surveillance Research; Cell Separation; Cellular biology; Classification; Clinical; Clinical Cancer Center; Clinical Research; Clinical Trials; Collaborations; Communities; Community Outreach; Comprehensive Cancer Center; Computer software; Consultations; Data; Data Analyses; Data Science; Databases; Development; Disease; Dose; Early Therapeutic-Clinical Trials Network; Education; Education and Outreach; Ensure; Epigenetic Process; Evaluation; Experimental Designs; Faculty; Flow Cytometry; Funding; Genomic Instability; Genomics; Grant; Growth; Hand; Human Resources; Immunologic Monitoring; Informatics; Journals; Kentucky; Lead; Leadership; Malignant neoplasm of lung; Malignant neoplasm of pancreas; Mentors; Mentorship; Metabolism; Methodology; Methods; Mission; Modeling; Molecular; Monitor; Multicenter Trials; NCI Center for Cancer Research; National Cancer Institute; Oxidation-Reduction; Pathology; Peer Review; Play; Population; Population Research; Population Study; Positioning Attribute; Precision medicine trial; Process; Quality Control; Reproducibility; Research; Research Design; Research Personnel; Research Priority; Research Support; Resource Sharing; Resources; Risk Factors; Role; Sample Size; Science; Series; Service provision; Services; Signal Transduction; Site; Statistical Data Interpretation; Statistical Methods; Survival Analysis; Technical Expertise; Testing; Toxic effect; Training; Training Activity; Training Programs; Training and Education; Translational Research; Universities; Work; Writing; anticancer research; base; biomarker-driven; cancer cell; cancer health disparity; cancer immunotherapy; cancer prevention; computerized data processing; cost effective; data analysis pipeline; data management; data quality; design; drug discovery; early phase clinical trial; early phase trial; exosome; experience; genomic platform; health disparity; high throughput analysis; improved; innovation; investigator-initiated trial; lectures; malignant breast neoplasm; meetings; member; metabolomics; multidisciplinary; neoplasm registry; next generation sequencing; novel; population based; precision medicine; precision medicine clinical trials; programs; research study; skills; statistics; success; targeted treatment; translational clinical trial; translational genomics; translational study; translational therapeutics; tumor immunology; working group

PROJECT SUMMARY/ABSTRACT The Biostatistics and Bioinformatics Shared Resource Facility (BB SRF) is an essential cancer center- managed resource and has played a critical role as members in team science by providing statistical and bioinformatics expertise to enable and enhance the Markey Cancer Center’s (MCC) basic, clinical and population research. BB SRF services are categorized broadly into: 1) study planning, power and sample size calculations for grant applications; 2) design and implementation support for clinical trials; 3) statistical analyses, including interim and final analysis for the entire spectrum of cancer research studies; 4) bioinformatics methods for design and analysis of high-throughput ’omics data; 5) statistical programming for data quality control and data processing; and 6) mentoring, education and general consultation to MCC investigators. BB SRF services are coordinated with other MCC SRFs with hand-offs and integrated workflows to ensure comprehensive, seamless and non-overlapping support. During the current funding cycle, the BB SRF has made significant scientific impact by employing technical methodologies directly supporting MCC Research Program themes. These technical methodologies include development and implementation of state- of-the-art data processing and data analysis pipelines and software for several genomic platforms with specific applications to Kentucky’s Appalachian population; novel differential analysis and classification methodologies for metabolomics and exosome data for lung, breast and pancreas cancers; adaptive and model-based dose finding designs and state-of-the art designs for early phase trials with biomarker and genomic evaluations of targeted therapies; statistical methodologies for population-based cancer prevention studies including nonparametric estimation and hypothesis testing of risk factor distributions, relative survival estimation and statistical methods for cancer registry and large claims databases to support research in MCC’s research in health disparities. In addition to support as co-investigators in 52 newly funded grants and over 40 investigator- initiated trials, BB SRF faculty engaged in novel methodological work to enhance the science of MCC Research Programs. During the current CCSG funding cycle, the BB SRF supported 128 MCC members (81 peer-reviewed funded) from all 4 MCC Research Programs, representing 74% coverage from the total MCC membership. The BB SRF has significantly increased usage and value added metrics, expanded its services and has grown in personnel from 8 faculty and staff to a current total of 14 to address the growth and emerging research directions of the MCC. The highly experienced personnel and diverse skill set of the BB SRF adds significant value to the execution of scientifically rigorous research at the MCC and demonstrates that the BB SRF is well positioned to support the MCC as a Comprehensive Cancer Center for the Commonwealth of Kentucky in this renewal application.

项目总结/文摘