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This study is a prospective, observational clinical research aimed at establishing a multimodal database encompassing clinical information and gut microbiome data from a sample of over 1,000 breast cancer patients comorbid with depression. The research involves collecting cohort sample information from breast cancer patients with comorbid depression, as well as fecal, blood, and saliva specimens for metagenomic sequencing, untargeted metabolite detection, and cortisol level analysis, respectively. Based on the collected multimodal data, diagnostic, efficacy prediction, and prognostic survival prediction models for breast cancer with comorbid depression will be developed. Additionally, a precision prediction cloud platform will be designed and deployed to support data upload, model prediction, and result visualization.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Neoadjuvant therapy breast cancer patient cohort | |||
| HR-positive breast cancer cohort under adjuvant treatment | |||
| Advanced triple-negative immunotherapy and HR-positive endocrine therapy cohorts |
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| Measure | Description | Time Frame |
|---|---|---|
| objective response rate,ORR | The propotion defined as subjects with complete remission (CR) and partial remission (PR) among all subjects. | 2025-03-11 to 2027-03-01 |
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Inclusion Criteria:
Exclusion Criteria:
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patients with breast cancer
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jun Huang,doctor | Contact | 86-18229944886 | 404369@csu.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Xiangya Hospital of Central South University | Recruiting | Changsha | Hunan | 410000 | China |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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peripheral venous blood, fecal sample, saliva and residual biopsy tissue or surgical specimens.
| D017437 |
| Skin and Connective Tissue Diseases |