NCT05742204进行中（未招募）不适用
Identification and Functional Verification Study in Plasma Proteomic Biomarkers for Early Diagnosis of Lung Cancer
Second Affiliated Hospital, School of Medicine, Zhejiang University1 个研究点 分布在 1 个国家目标入组 3,700 人开始时间: 2023年2月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 3,700
- 试验地点
- 1
- 主要终点
- Plasma proteomic biomarkers
研究概览
简要总结
We will identify plasma proteomics biomarkers for early diagnosis of lung cancer.
详细描述
We will use TMT-based proteomics approaches to analyze more than 2000 proteins in plasma samples from lung cancer patients and controls. Artificial intelligent (AI) assisted proteomics classifier will be developed for early diagnosis of lung cancer.
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 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •CT screening results showed that the size of pulmonary nodules was more than 5mm
- •No treatment related to pulmonary nodules/lung cancer (including surgery, chemotherapy, radiotherapy, targeted therapy, immunotherapy, interventional therapy, etc.)
- •Complete clinical and imaging data
- •Chest CT/ low-dose spiral CT reports can be provided in the last 3 months
- •Voluntarily sign informed consent
排除标准
- •There is a history of tumor
- •Clinically uncontrolled active infections, such as acute pneumonia, tuberculosis, etc.
- •Received any treatment related to pulmonary nodules, such as antibiotics and hormones, in the past 4 weeks
- •Complicated with other tumors and serious diseases of the heart, liver, kidney, brain, blood and other systems
- •Participated in other clinical trials within the last 3 months
- •Combined with liver and kidney insufficiency, hypoproteinemia and other diseases affecting protein content
- •You are pregnant or breastfeeding
结局指标
主要结局
Plasma proteomic biomarkers
时间窗: 1 month after surgery
Plasma proteomic biomarkers for detection of lung cancer
Model or classifier performance
时间窗: 1 month after surgery
Artificial intelligent (AI) assisted proteomics classifier will be developed for early diagnosis of lung cancer; and model or classifier performance including AUC, sensitivity, specificity, and accuracy
次要结局
未报告次要终点
研究者
研究点 (1)
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