Biostatistics and Bioinformatics Shared Resource Facility

生物统计学和生物信息学共享资源设施

基本信息

批准号：
10204885
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
项目类别：
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/10204885
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 Therapeutic 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 study tumor immunology working group

项目摘要

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.

项目摘要/摘要生物统计学和生物信息学共享资源设施（BB SRF）是必不可少的癌症中心管理资源，并通过提供统计和生物信息学专业知识，以启用和增强Marky癌症中心（MCC）的基本，临床和人口研究。 BB SRF服务大致分为：1）研究计划，权力和样本量赠款申请的计算； 2）为临床试验设计和实施支持； 3）统计分析，包括整个癌症研究范围的临时和最终分析； 4）用于设计和分析高通量数据的生物信息学方法； 5）统计编程数据质量控制和数据处理； 6）对MCC的心理，教育和一般咨询调查人员。 BB SRF服务与其他MCC SRF协调，并具有交接和集成的工作流程确保全面，无缝和非重叠的支持。在当前的资金周期中，BB SRF通过采用直接支持MCC的技术方法产生了重大的科学影响研究计划主题。这些技术方法包括发展和实施国家 - ART数据处理和数据分析管道和软件的多个基因组平台具有特定的基因组平台申请肯塔基州的阿巴拉契亚人口；新颖的差分分析和分类方法用于肺，乳腺癌和胰腺癌的代谢组学和外泌体数据；自适应和基于模型的剂量通过生物标志物和基因组评估寻找早期试验的设计和最先进的设计靶向疗法；基于人群的癌症预防研究的统计方法包括危险因素分布的非参数估计和假设检验，相对生存估计和癌症注册表和大量索赔数据库的统计方法，以支持MCC研究中的研究健康分布。除了支持52个新资助的赠款和40多个研究人员的共同投资者外，发起的试验，BB SRF从事新方法学工作以增强MCC科学的BB SRF教师研究计划。在当前的CCSG融资周期中，BB SRF支持128个MCC成员（81位来自所有4个MCC研究计划的同行评审资助），代表总MCC的74％的覆盖率会员资格。 BB SRF大大增加了用法和增值指标，扩大了服务，并已有从8位教职员工到当前总共14人的人员成长，以解决增长和新兴 MCC的研究指示。 BB SRF的经验丰富的人员和潜水技能添加了在MCC上执行科学严格研究的重要价值，并证明了BB SRF的位置很好，可以支持MCC作为联邦综合癌症中心肯塔基州在此更新申请中。