To Identify Potential New Urine Marker Panel for Cancer Screening
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 2,500
- 试验地点
- 1
- 主要终点
- The sensitivity and specificity of cancer detection by urine polyamines
研究概览
简要总结
Polyamines are naturally produced metabolites in our cells. There were some reports suggested the urinary levels of polyamines were altered in patients with different cancers. This study is to explore the use of urinary polyamine for the diagnosis of common cancers.
详细描述
Urine tests is a simple, non-invasive approach for cancer detection. One example of such cancer biomarkers are natural polyamines. Recently, there are also other reports on the use of polyamines in diagnosis of other cancers. In this larger scale study, with inclusion of subjects with different cancer types, to further assess the correlation urine polyamines and other urine metabolite markers for the diagnosis of different cancer types and investigate their role as a potential non-invasive marker for cancer detection and monitoring.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
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
- •Adult patients with age > 18 years old.
- •For cancer patients, a histological diagnosis of cancer is available.
- •For normal control, there is no diagnosis of cancer in the medical record.
排除标准
- •Patient with recent urinary tract infection within 6 weeks prior to urine collection.
- •Patient with recent urethral instrumentation, such as Foley catheter insertion, cystoscopy etc, within 6 weeks prior to urine collection.
- •Patient refused or unable to provide consent for the study
结局指标
主要结局
The sensitivity and specificity of cancer detection by urine polyamines
时间窗: 1 month after surgery
Urine samples will be prepared and analyzed by ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometer (UPLC-MS/MS). Receiver operating characteristics (ROC) curve for overall and individual cancer diagnosis will be performed.pathological result will be assessed.
次要结局
未报告次要终点
研究者
NG Chi Fai
Professor
Chinese University of Hong Kong