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临床试验/NCT00896727
NCT00896727已完成不适用

Prediction of Therapeutic Response Using AQUA™ Quantitative Protein Expression Analysis of ER, PgR, and HER2 of Breast Cancer Tissue Microarrays From SWOG Protocol 9313

SWOG Cancer Research Network1 个研究点 分布在 1 个国家目标入组 2,100 人开始时间: 2006年7月17日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
2,100
试验地点
1
主要终点
Main effects of ER, PR, HER-2, and p53, as well as interactions to generate classes formed by clustering of biomarkers, on a large breast cancer tissue microarray to predict disease-free and overall survival

研究概览

简要总结

RATIONALE: Studying the proteins expressed in tumor tissue samples in the laboratory from patients with cancer may help doctors learn more about biomarkers related to cancer. It may also help doctors predict how patients respond to treatment.

PURPOSE: This laboratory study is looking at protein expression in predicting response to treatment using tumor tissue samples from women with stage I, stage II, or stage IIIA breast cancer treated on clinical trial SWOG-9313.

详细描述

OBJECTIVES:

  • Assess in-situ protein expression of estrogen receptor (ER), progesterone receptor (PR), HER-2, and p53 by automated quantitative analysis (AQUA™) and multiplexed analysis at 2 markers per slide using tumor tissue from women with stage I, stage II, or stage IIIA breast cancer treated on clinical trial SWOG-9313.
  • Assess the main effects of ER, PR, HER-2, and p53, as well as interactions to generate classes formed by clustering of biomarkers, on a large breast cancer tissue microarray to predict disease-free and overall survival of patients who received high-dose cyclophosphamide and doxorubicin hydrochloride on clinical trial SWOG-9313.

OUTLINE: This is a multicenter study. Patients are stratified according to receptor status and menopausal status.

Tumor tissue samples are analyzed by quantitative protein expression analysis (AQUA™, a fluorescent antibody technique) for estrogen receptor, progesterone receptor, p53 and HER-2. AQUA™ is used to assess markers individually and as ratios with the use of clustering algorithms to define reproducible classifications of tissue from patients treated on SWOG-9313 as a function of molecular classification.

Results of the AQUA™ testing are compared to immunohistochemistry and fluorescent in situ hybridization (FISH) results obtained on SWOG-9313.

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 —(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Main effects of ER, PR, HER-2, and p53, as well as interactions to generate classes formed by clustering of biomarkers, on a large breast cancer tissue microarray to predict disease-free and overall survival

时间窗: Retrospectively at baseline

at baseline

In-situ protein expression of estrogen receptor (ER), progesterone receptor (PR), HER-2, and p53 as measured by automated quantitative analysis (AQUA™)

时间窗: Retrospectively at baseline

at baseline

次要结局

未报告次要终点

研究者

申办方类型
Network
责任方
Sponsor

研究点 (1)

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