Data acquisition system for noninvasive cancer detection

描述(由申请人提供)： 该方案的总体目标是开发一种基于高灵敏度低容量实时PCR技术和毛细管电泳法的无创性癌症定量检测、筛查和监测的自动数据采集系统，应用该系统对单个癌细胞的端粒酶活性和基因表达进行定量分析，并以前列腺癌患者尿液中脱落的癌细胞为例对该系统进行验证。 该项目的第一阶段旨在建立检测系统的台式原型，并确定拟议用于定量测量端粒酶活性和hTERT mRNA表达的仪器的灵敏度极限，与纽约州立大学核心设施提供的最佳商业实时PCR仪器之一OpticonTM，MJ Research和/或ABI PRISM TM7700，PE应用生物系统的灵敏度进行比较。 在第二阶段，我们将开发数据采集系统的自动试点原型，使用前列腺癌患者排出的尿液样本中的脱落癌细胞验证该仪器，并开发临床样本制备和分析的最佳方案。

DESCRIPTION (provided by applicant): The overall goal of the proposal is to develop an automated data acquisition system for non-invasive quantitative cancer detection, screening, and monitoring, based on highly sensitive low volume real time PCR technique and capillary electrophoresis, apply this system for quantitative analysis of the telomerase activity and gene expression in single cancer cells, and to validate this system on clinical specimens using exfoliated cancer cells in voided urine of prostate cancer patients. Phase I of the project aims at building the bench-top prototype of the detection system and determination of the limits of sensitivity of the proposed instrument for quantitative measurement of telomerase activity and hTERT mRNA expression in comparison with the sensitivity of one of the best commercial real-time PCR instruments, OpticonTM, MJ Research, available at SUNY core facility, and/or ABI PRISM TM7700, PE Applied Biosystems. In Phase II we will develop an automated pilot prototype of the data acquisition system, validate the instrument using exfoliated cancer cells in voided urine specimens of prostate cancer patients, and develop optimal protocols for clinical sample preparation and analysis.