Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence (COMPASS-BC)
A Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence and Its Clinical Translation Research
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Fengbo Huang, MD
- Phone Number: 0571-87783914
- Email: keyanlunli_zheer@163.com
Study Locations
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-
Zhejiang
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Hangzhou, Zhejiang, China, 310000
- Recruiting
- The Second Affiliated Hospital, Zhejiang University School of Medicine
-
Contact:
- Fengbo Huang, MD
- Phone Number: 0571-87783914
- Email: keyanlunli_zheer@163.com
-
Principal Investigator:
- Jian Huang, MD, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Female patients pathologically diagnosed with breast cancer at our hospital or participating centers between January 1, 2000, and December 30, 2028.
- Must meet one of the following: 1) Initially diagnosed with breast cancer at our hospital, has developed distant metastasis (liver, bone, lung, or brain), and has a biopsy or surgical specimen from the metastatic site stored at our hospital, with complete clinical information available. 2) Primary tumor specimen is not at our hospital, but a biopsy or surgical specimen from a distant metastatic site (liver, bone, lung, brain) is stored at our hospital.
Exclusion Criteria:
- Concomitant metastatic malignancy from another primary cancer.
- Incomplete clinical information.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
|
Group 1
Metastatic Risk Stratification (High/Medium/Low Risk)
|
|
Group 2
Organ-Specific Metastasis (Bone/Lung/Liver/Brain)
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Group 3
Non-Metastatic Control Group
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Metastasis-Free Survival
Time Frame: From diagnosis up to December 30, 2028
|
Time from initial breast cancer diagnosis to the occurrence of distant metastasis.
|
From diagnosis up to December 30, 2028
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Performance of Prediction Models
Time Frame: At the end of the study (December 2028)
|
Evaluate the performance of (1) the metastatic risk stratification model, (2) the organ-specific metastasis prediction model, and (3) the metastasis time-window prediction model. Measure: Accuracy and Area Under the Curve (AUC). (Target accuracy ≥80%, AUC ≥0.80) |
At the end of the study (December 2028)
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2025-COMPASS-BC (Other Identifier: The Second Affiliated Hospital, Zhejiang University School of Medicine)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Sharing of IPD is not guaranteed and is strictly conditional. First, consent for the long-term storage and future research use of data is collected as a separate, optional item on the Informed Consent Form. Therefore, IPD cannot be shared from any participant who does not provide this specific optional consent.
Second, the study involves highly sensitive multi-modal data, including digital pathology, proteomics, and genomic sequencing. This data is subject to strict privacy-preserving protocols (such as encryption and differential privacy) and oversight by the institutional data security committee to protect participant confidentiality and prevent re-identification.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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