Genome Based Outcome Prediction in High Risk Neuroblastoma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 主要终点
- Linear correlation between the nCounter™ Analysis System and the expression data obtained in microarray platforms
研究概览
简要总结
RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in RNA and predict how patients will respond to treatment. It may also help doctors find better ways to treat cancer.
PURPOSE: This research trial studies gene expression in predicting outcomes in samples from patients with high-risk neuroblastoma.
详细描述
OBJECTIVES:
- To test the correlation of a previously published microarray gene expression signature with the gene expression obtained with the nCounter™ Analysis System using RNA isolated from formalin-fixed, paraffin-embedded (FFPE), high-risk neuroblastoma samples.
- To construct, test, and validate a novel robust classifier that can be readily integrated into the clinic.
OUTLINE: This is a multicenter study.
RNA samples extracted from paraffin-embedded tissue are analyzed for gene signature expression levels by nCounter™ Analysis System and correlated with published microarray expression data. Results are then used to develop a refined gene-expression-profile classifier of ultra high-risk neuroblastoma.
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
- 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
Linear correlation between the nCounter™ Analysis System and the expression data obtained in microarray platforms
nCounter™ Analysis System and microarray platforms equally predictive of outcome in the high-risk group of neuroblastoma patients
次要结局
未报告次要终点