Clinical, Histological and In-depth Molecular Characterization as Well as Experimental Models of Liver Metastasis From Patients With Breast Cancer in Order to Identify New Potential Treatment Avenues.

NCT ID: NCT05720676

Last Updated: 2023-02-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

20 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-31

Study Completion Date

2025-03-31

Brief Summary

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The goal of this observational study is to learn about breast cancer liver metastasis in patients who met the following criteria:

* female;
* be ≥ 18 years of age on the day of signing informed consent;
* confirmed diagnosis of breast cancer liver metastases. Newly diagnosed patients with de-novo liver metastases are eligible;
* be planned for liver surgery.

The main questions it aims to answer are:

1. To characterize the tumour cells and their microenvironment in the liver metastases at the transcriptomic and protein single-cell level;
2. To determine the levels and patterns of immune infiltrates in liver metastases from BC patients;
3. To identify biological features associated with the histopathological growth patterns in liver metastases.
4. To create patient-derived xenografts (PDX) and organoids (PDO) from liver metastases isolated from patients with BC;
5. To perform a histopathological and molecular comparison of liver metastases, PDX and PDO isolated from the same patient

Participants will be willing and able to provide written informed consent for this study and tissue samples for research purposes.

Detailed Description

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Conditions

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Breast Cancer Liver Metastases

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* be willing and able to provide written informed consent for this study;
* female;
* be ≥ 18 years of age on the day of signing informed consent;
* confirmed diagnosis of breast cancer liver metastases. Newly diagnosed patients with de-novo liver metastases are eligible;
* be planned for liver surgery;
* be willing to provide tissue samples for research purposes.

Exclusion Criteria

* unwillingness to provide the samples or clinical information needed for the study;
* History of radiofrequency destruction (RF), stereotactic Body Radiotherapy (SBRT) or intra-arterial treatment such as chemoembolization (TACE) or selective internal radiation therapy (SIRT) performed on the metastasis to be examined (accepted if performed in other metastasis);
* Has an active autoimmune disease that has required systemic treatment in the past 2 years prior to the surgery (i.e. with use of disease modifying agents, corticosteroids or immunosuppressive drugs). Replacement therapy (e.g., thyroxine, insulin, or physiologic corticosteroid replacement therapy for adrenal or pituitary insufficiency, etc.) is not considered a form of systemic treatment;
* Presence of immunodeficiency or immune dysregulatory diseases and conditions which require active immune modulatory treatment of any kind, or required treatment in the past two years from date of diagnosis of breast cancer;
* History or current evidence of any condition, therapy, or laboratory abnormality that might confound the results in the opinion of the treating investigator.
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Jules Bordet Institute

OTHER

Sponsor Role collaborator

Erasme University Hospital

OTHER

Sponsor Role collaborator

GZA Ziekenhuizen Campus Sint-Augustinus

OTHER

Sponsor Role collaborator

KU Leuven

OTHER

Sponsor Role lead

Responsible Party

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Sophia Leduc

PhD Student

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Sophia Leduc

Leuven, , Belgium

Site Status

Countries

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Belgium

Facility Contacts

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Sophia Leduc, PhD

Role: primary

Other Identifiers

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S-64813

Identifier Type: -

Identifier Source: org_study_id

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