NCT00578409已完成不适用
Identification of Predictive Factors for Survival of Patients With Recurrent Prostate Cancer From Clinical Features, Tissue Image Features and Molecular Biomarker Data
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 758
- 试验地点
- 1
- 主要终点
- The analysis for the progressive castrate mets disease population consists of two analytical steps. The first step involved the development of a predictive model of pt survival using supervised multivariate analytical (SMA)techniques
研究概览
简要总结
We seek to improve the predictive accuracy of the nomogram to predict survival for patients with castrate mets disease through the addition of pathological data, the results of automated machine vision based image analysis of H&E stained tumor tissue developed at Aureon Biosciences,and molecular biomarker studies (25 markers) determined by immunohistochemistry on tissue microarrays prepared from paraffin-embedded tumor.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •Patients in the first retrospective study (Stage 1) must be part of the 409 patient strong MSKCC cohort with progressive metastatic prostate cancer which was used for the generation of the original nomogram.
- •For details please see original publication by Smaletz et al. Patients involved in the second retrospective study (Stage 2) must be part of the 223 patients with a rising PSA after surgery or radiation therapy who were treated on conjugate vaccine trials at MSKCC..
排除标准
- •For details of excluded patients on the clinical metastases castrate disease study, please see original publication by Smaletz et al.4
- •(MSKCC - add reference if publication available for rising PSA patients)
结局指标
主要结局
The analysis for the progressive castrate mets disease population consists of two analytical steps. The first step involved the development of a predictive model of pt survival using supervised multivariate analytical (SMA)techniques
时间窗: 2 years
次要结局
未报告次要终点
研究者
研究点 (1)
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