Profile Related Evidence to Determine Individualized Cancer Therapy (PREDICT) Program in Advanced Cancer Patients
试验速览
- 阶段
- 不适用
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- Comparison of Biomarker Profiling to Treatment Outcome
研究概览
简要总结
The goal of this laboratory research study is to collect and analyze treatment, molecular profiling and biomarker data. The results of the data analysis will be used to better understand how to characterize tumors and identify therapies that may be tailored to individual patients and to identify and/or predict side effects that may occur and/or predict which therapies may be best for participants. Research may also be done on your existing tissue to identify new biomarkers.
详细描述
Molecular Profiling/Deep Sequencing:
Molecular profiling is the classification of tissue based on the expression of certain genes within a tumor that might predict how the tumor responds to therapy. Deep sequencing is a more detailed type of molecular profile that allows for a more focused analysis of individual genes.
Biomarker Data:
A characteristic that is measured and evaluated as an indicator of normal biologic processes, disease processes or pharmacologic responses to a therapeutic intervention.
Study Participation:
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •All patients referred to the Clinical Center for Targeted Therapy are potentially eligible for recruitment.
排除标准
- 未提供
结局指标
主要结局
Comparison of Biomarker Profiling to Treatment Outcome
时间窗: 2 months
For correlating marker profiles with response to treatment, univariate and multivariate (multiple covariates) logistic regression used, with response status taken as outcome variable. Distributions of time-to-event outcomes estimated using Kaplan-Meier curves, and these distributions compared among groups using log rank test.
次要结局
未报告次要终点