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BreastCOMPASS-BCNCT07252986

Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence

An observational study of Breast and Breast Cancer, run by Second Affiliated Hospital, Zhejiang University, School of Medicine at 1 site in China.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial summary

Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death. This project aims to construct a precision prediction system based on multi-omics (digital pathology, immunohistochemistry, proteomics, gene sequencing) and artificial… Read more about this study

Who is it for?
Any age, women only
Conditions the study is for
Breast, Breast Cancer, Pathology
How many people
2,000 participants
Where
1 siteChina
Study dates
1 Dec 2025to 30 Dec 2028
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages Any age
  • Women only
  • No healthy volunteers
  • Child, Adult, Older adult

Study population: The study population comprises female patients diagnosed with breast cancer between 2000 and 2028, identified through participating hospital centers. This includes patients who have developed distant (organ-specific) metastasis (liver, lung, bone, or brain) and for whom primary and/or metastatic tissue samples are available.

Who may be able to join

  • 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.

Who cannot join

  • Concomitant metastatic malignancy from another primary cancer.
  • Incomplete clinical information.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

China1 site, 1 recruiting
  • The Second Affiliated Hospital, Zhejiang University School of Medicine

    Hangzhou, Zhejiang, 310000

    Fengbo Huang, MD, 0571-87783914, keyanlunli_zheer@163.com

    Jian Huang, MD, PhD

    Recruiting

Other trials in China

About this study

Official title: A Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence and Its Clinical Translation Research

Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death. This project aims to construct a precision prediction system based on multi-omics (digital pathology, immunohistochemistry, proteomics, gene sequencing) and artificial intelligence to predict distant and organ-specific metastasis (bone, lung, liver, brain) in breast cancer, analyze its mechanisms, and provide new solutions for precision medicine.

Medical subject headings
Breast Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT07252986
Study groupRoleWhat they receive
Group 1Metastatic Risk Stratification (High/Medium/Low Risk)
Group 2Organ-Specific Metastasis (Bone/Lung/Liver/Brain)
Group 3Non-Metastatic Control Group

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Metastasis-Free Survival

    Time from initial breast cancer diagnosis to the occurrence of distant metastasis.

    Measured: From diagnosis up to December 30, 2028

Secondary outcomes (1)
  1. Performance of Prediction Models

    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)

    Measured: At the end of the study (December 2028)

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted28 Nov 2025
  2. Study start1 Dec 2025
  3. Primary completion30 Dec 2028 (estimated)
  4. Study completion30 Dec 2028 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Retrospective
Enrolment
2,000 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07252986
Sponsor's protocol ID
2025-COMPASS-BC
Other IDs
2025-COMPASS-BC
Acronym
COMPASS-BC
Status last verified
Feb 2026
First submitted
19 Nov 2025
Last updated
3 Mar 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No: 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.

Questions about this trial

What is this clinical trial studying?

An observational study of Breast and Breast Cancer, run by Second Affiliated Hospital, Zhejiang University, School of Medicine at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 3 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Fengbo Huang, MD (0571-87783914, keyanlunli_zheer@163.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Metastasis-Free Survival (time frame: From diagnosis up to December 30, 2028). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Mar 2026; AzTrials last refreshed its copy on 7 Nov 2026.

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