Genomic Investigation of Unusual Responders
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Genomic Characterization of Tumor Samples
研究概览
简要总结
Studies have shown that tumors from the same patient may respond very differently to the same therapeutic agents. This study aims to investigate the genetic basis of tumors that respond abnormally well or poorly to therapeutic agents in an effort to understand the fundamental genetic basis of this response. The present protocol seeks to retrospectively perform Exome, next-generation (DNA) sequencing and/or other molecular techniques on tumor samples to identify the genetic basis of a patient's exceptional response to chemotherapy.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •The patient must have either an exceptionally good or poor response to treatment, as indicated by their treating physician.
- •The exact definition of this is adaptable to the disease but a suggested guideline is a Complete Response, Partial Response or progression free interval of at least 6 months
- •Exceptionally poor response includes patients who were expected to respond favourably to a treatment but instead responded poorly (e.g dramatic tumor growth or death)
- •The patient must have sufficient archival tumor available for sequencing.
- •Deceased patients will also be considered for analysis (up to 30 patients per year) if they meet at least one of the following requirements:
- •a)) Patients who have archival tissue stored within the UHN Laboratory Medicine Program who have had a consent waiver granted by the REB to access the tissue.
- •b) Patients who have archival tissue banked for further research within the UHN Biospecimen Sciences Program
排除标准
- 未提供
结局指标
主要结局
Genomic Characterization of Tumor Samples
时间窗: Through study completion, up to 2 years
Characterization of the genetic changes that may explain a tumor's exceptional response or disaster to therapeutc agents.
次要结局
未报告次要终点
