Investigating the Diagnostic Potential of Tear Proteins in Breast, Ovarian, Prostate, Melanoma, Pancreatic, and Colon Cancer
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 发起方
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Identify Cancer-related Biomarkers
研究概览
简要总结
This Pilot Study is to investigate the tear proteins in a multitude of cancer types and indulge in biomarker discovery to manufacture simple, accurate, and novel tear-based diagnostic tests.
详细描述
The Pilot Study is an observational study to investigate the diagnostic potential of tear proteins for Breast, Ovarian, Prostate, Melanoma, Pancreatic, and Colon cancer. In this pilot study, we use lacrimal gland fluid (tears) as a liquid biopsy source for investigating the protein repertoire and conducting biomarker discovery studies with a goal to develop new tear-based tests that can detect crucial cancer-related biomarkers in the pan-cancer types.
Proteomic studies on tears have shown to express between 500-1500 proteins with ~35% overlap with serum proteome. The easy accessibility of tear fluid with minimal post-processing procedures and better access to lower molecular weight proteins make tears an ideal source to identify commonly associated cancer biomarkers.
Additionally, the results from this study will aid in improving our understanding of the cancer types and commonalities that exist between them.
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 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •18-100 years of age
- •Presenting for the evaluation of an abnormal exam or test (mammogram, ultrasound, MRI, PET, etc.)
- •Presenting for the evaluation of a palpable lump or mass
- •Presenting with a mass may be pre or post-biopsy/diagnostic as long as there is a portion of the mass remaining.
- •Have been diagnosed but have not received treatment
排除标准
- •Less than 18 years of age OR more than 100 years of age
- •Concurrent eye infection or trauma
- •Acute conjunctivitis
结局指标
主要结局
Identify Cancer-related Biomarkers
时间窗: Dec 2023
A tear protein repertoire will be created to identify key cancer biomarkers
次要结局
- Tear Protein Concentrations(Dec 2023)