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Not yet recruiting NCT07685236

A Biomarker Exploration Study for Predicting Localization of Recurrence and Metastasis in Colorectal Cancer (PROBE Study)

Observational Metastatic Colorectal Cancer (CRC)

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Metastatic Colorectal Cancer (CRC). Basic parameters: 18 years — 100 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

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

Overview

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.

Primary outcome measures

  • 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 [Time frame: At baseline (at the time of study enrollment, prior to any surgical or anti-tumor treatment)]
Secondary outcome measures (2)
  • Accuracy of the prediction models based on methylation, fragmentomics, and cfRNA data for colorectal cancer recurrence and metastasis localization [Time frame: Baseline (at enrollment)]
  • Sensitivity and specificity of individual omics technologies (methylation, fragmentomics, and cfRNA) [Time frame: Baseline (at enrollment)]

Eligibility criteria

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.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Case-only

Study locations

Center list to be confirmed — check the primary protocol.

Identifiers

NCT: NCT07685236 · 2026-SR-422

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗