NETWORK FOR PROGNOSTIC MARKERS OF BLADDER CANCER

膀胱癌预后标志物网络

• 批准号: 2097745
• 负责人: LEON L WHEELESS
• 金额: $ 8.13万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-06-15 至 1996-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2097745
• 关键词: biomarker; bladder neoplasm; cancer information system; cancer registry /resource; cellular oncology; cooperative study; cytogenetics; cytology; flow cytometry; human subject; immunofluorescence technique; in situ hybridization; longitudinal human study; monoclonal antibody; neoplasm /cancer classification /staging; neoplasm /cancer diagnosis; neoplasm /cancer genetics; neoplasm /cancer relapse /recurrence; neoplastic growth; prognosis; tissue /cell preparation; tissue resource /registry

The primary focus of this application is the participation in, and support of, a collaborative network for the evaluation of prognostic markers of urinary bladder cancer. Our laboratory is currently funded in a study whose primary aim is the identification of probes and features useful in evaluating low grade disease, monitoring therapy, and predicting progression through the parallel analysis of DNA, protein expression, and genetic makeup of longitudinally acquired bladder irrigation specimens. This application proposes specific aims and studies to permit the synergistic merging of our existing research objectives with the stated goals of the Cooperative Network. Specific aims include: (1) Bring the resources of our bladder cancer efforts at Rochester to the Cooperative Network in support of its goals. Included are resources in the area of urology, marker evaluation, static and flow instrumentation, software, data analysis, and biostatistics. (2) Supply bladder irrigation, paraffin-embedded, and tissue specimens together with clinical data from our extensive specimen and clinical data banks and large patient population in support of Cooperative Network studies. (3) Evaluate the utility and morphological information in flow and static image analysis to the evaluation and quantitation of markers and the identification of information of clinical utility. (4) contribute data and results to the Cooperative Network from our ongoing collaborative studies correlating DNA analysis, protein expression using multiple monoclonal markers, and interphase cytogenetics using fluorescence In Situ Hybridization with clinical data on longitudinally acquired bladder irrigation specimens. (5) Expand to other Cooperative Network laboratories a collaborative study initiated with Dr. Yves Fradet on the analysis of bladder irrigation specimens using quantitative fluorescence image analysis and multiple immunofluorescence markers. (6) Develop techniques for the production of multiple slides from limited bladder material. This will include the use of an automated monolayer slide preparation device. (7) Support effective and productive interaction among cooperative laboratories through specific proposals to the Coordinating Committee. Studies will be carried out in continued close collaboration and consultation with clinical colleagues in Urology and with continued strong biostatistical input in all phases to assure statistically meaningful results.

该应用程序的主要重点是参与， 支持预后评估的协作网络 泌尿膀胱癌的标志。我们的实验室目前已资助 一项主要目的是识别探针和特征的研究 用于评估低年级疾病，监测疗法和 通过平行分析DNA，蛋白质预测进展 纵向膀胱的表达和基因组成 灌溉标本。本申请提出了具体目标， 允许我们现有研究协同合并的研究 具有合作网络的既定目标的目标。具体的 目的包括：（1）将我们膀胱癌努力的资源带到 罗切斯特到合作网络以支持其目标。包括 是泌尿外科，标记评估，静态和流动领域的资源 仪器，软件，数据分析和生物统计学。 （2）供应 膀胱灌溉，石蜡包裹和组织标本一起 借助我们广泛标本和临床数据库的临床数据 和大量的患者人群支持合作网络研究。 （3）评估流量中的效用和形态信息 静态图像分析标记的评估和定量 临床公用事业信息的识别。 （4）贡献 来自我们正在进行的合作网络的数据和结果 合作研究将DNA分析，蛋白质表达相关联 多个单克隆标记和使用的相间遗传学 荧光原位杂交与纵向的临床数据 获得的膀胱灌溉标本。 （5）扩展到其他合作社 网络实验室与Yves博士发起的合作研究 Fradet使用膀胱灌溉标本的分析 定量荧光图像分析和多种免疫荧光 标记。 （6）开发生产多个幻灯片的技术 来自有限的膀胱材料。这将包括使用自动 单层幻灯片准备装置。 （7）支持有效和富有成效的 合作实验室之间的互动通过特定建议 协调委员会。研究将在继续 与泌尿外科临床同事密切合作和咨询 并在所有阶段持续强大的生物统计输入以确保 统计学上有意义的结果。