NCT00898417已完成不适用
Development of a Serum Proteomic Classifier for the Prediction of Benefit From Bevacizumab in Combination With Carboplatin and Paclitaxel
ECOG-ACRIN Cancer Research Group0 个研究点目标入组 90 人开始时间: 2008年3月14日最近更新:
适应症
相关药物
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 90
- 主要终点
- Survival
研究概览
简要总结
RATIONALE: Studying samples of blood in the laboratory from patients undergoing treatment for non-small cell lung cancer may help doctors predict how patients will respond to treatment.
PURPOSE: This laboratory study is looking at proteomic patterns in stored blood samples from patients undergoing treatment for non-small cell lung cancer.
详细描述
OBJECTIVES:
Primary
- To develop a serum proteomic classifier using matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry analysis of blood samples from patients with non-squamous cell non-small cell lung cancer to predict benefit, in terms of survival and time to progression, from treatment with bevacizumab in combination with carboplatin and paclitaxel.
Secondary
- To better quantitate candidate biomarkers by using more advanced mass spectrometric technologies, including multiple-reaction monitoring and heavy-labeled peptides.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 120 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Survival
时间窗: 1 day
次要结局
未报告次要终点
研究者
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