A Biomarker Exploration Study for Predicting Localization of Recurrence and Metastasis in Colorectal Cancer (PROBE Study) (PROBE)
A Multicenter, Observational Clinical Study Evaluating the Application of Multi-Omics Tumor-agnostic Technology for Localizing Postoperative Local Recurrence and Distant Metastasis in Colorectal Cancer
With high incidence and mortality rate, the effective therapeutic options of colorectal cancer remain limited.
Up to 50% of patients with colorectal cancer will develop metastatic disease.
Recurrent lesions can be diagnosed and characterized only when tumors have reached a certain volume by present radiologic imaging techniques such as CT and MRI.
The exploration of differentiated clinical applications specifically for local recurrence versus distant metastasis remains an unmet need.
The aim of this study is to explore methylation, fragmentomic, and cfRNA markers associated with local recurrence and distant metastasis of colorectal cancer by multi-omics approaches.
By constructing a predictive model for the localization of post-treatment recurrence and metastasis, this study will compare the accuracy of different technical approaches in predicting the localization of recurrence and metastasis after colorectal cancer treatment.
研究概览
地位
尚未招聘
研究类型
观察性的
注册 (估计的)
586
联系人和位置
本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。
学习联系方式
- 姓名：Yanhong Gu, PhD
- 电话号码：+025-68307881
- 邮箱：YanhongGu@njmu.edu.cn
参与标准
研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。
资格标准
适合学习的年龄
- 成人
- 年长者
接受健康志愿者
不
取样方法
非概率样本
研究人群
Patients meeting the following tumor types: primary colorectal cancer, locally recurrent colorectal cancer, colorectal cancer liver metastasis, colorectal cancer lung metastasis, colorectal cancer peritoneal metastasis, colorectal cancer bone metastasis, colorectal cancer multi-organ metastasis, primary liver cancer, primary lung cancer, primary peritoneal cancer, primary bone tumor.
描述
Inclusion Criteria:
- Age ≥ 18 years, male or female.
- Patients with the following tumor types: primary colorectal cancer, locally recurrent colorectal cancer, colorectal cancer liver metastasis, colorectal cancer lung metastasis, colorectal cancer peritoneal metastasis, colorectal cancer bone metastasis, colorectal cancer multi-organ metastasis, primary liver cancer, primary lung cancer, primary peritoneal cancer, primary bone tumor.
- No prior surgery or anti-tumor treatment at the time of enrollment assessment.
- Subjects voluntarily participate in this study and sign the informed consent form.
Exclusion Criteria:
- Previous history of malignant tumors other than those within the inclusion criteria.
- Pregnant or breastfeeding women.
学习计划
本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。
研究是如何设计的？
设计细节
队列和干预
团体/队列 |
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结直肠癌肝转移
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Primary colorectal cancer
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Locally recurrent colorectal cancer
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Colorectal cancer bone metastasis
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Colorectal cancer lung metastasis
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Colorectal cancer peritoneal metastasis
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Primary lung cancer
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Primary liver cancer
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Colorectal cancer multi-organ metastasis
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Primary bone tumor
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Primary peritoneal cancer
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Area Under the Receiver Operating Characteristic Curve (AUC) of the prediction models based on methylation, fragmentomics, and cfRNA data for local recurrence and distant metastasis localization in colorectal cancer
大体时间：At baseline (at the time of study enrollment, prior to any surgical or anti-tumor treatment)
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The AUC is calculated from the Receiver Operating Characteristic (ROC) curve to evaluate the discriminatory performance of the prediction model developed by use of methylation, fragmentomics, and cfRNA data.
Model performance will be assessed on the validation cohort.
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At baseline (at the time of study enrollment, prior to any surgical or anti-tumor treatment)
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Accuracy of the prediction models based on methylation, fragmentomics, and cfRNA data for colorectal cancer recurrence and metastasis localization
大体时间：Baseline (at enrollment)
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Accuracy is defined as the proportion of correctly predicted samples (true positives + true negatives) among the total number of samples in the validation cohort.
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Baseline (at enrollment)
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Sensitivity and specificity of individual omics technologies (methylation, fragmentomics, and cfRNA)
大体时间：Baseline (at enrollment)
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Comparison of predictive performance of three individual technical approaches for localization of recurrent and metastatic lesions.
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Baseline (at enrollment)
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合作者和调查者
在这里您可以找到参与这项研究的人员和组织。
研究记录日期
这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。
研究主要日期
学习开始 (估计的)
2026年6月29日
初级完成 (估计的)
2027年6月28日
研究完成 (估计的)
2027年6月28日
研究注册日期
首次提交
2026年6月24日
首先提交符合 QC 标准的
2026年6月30日
首次发布 (实际的)
2026年7月6日
研究记录更新
最后更新发布 (实际的)
2026年7月6日
上次提交的符合 QC 标准的更新
2026年6月30日
最后验证
2026年6月1日
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.