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Development and Application of Accurate Detection Technology Based on Multimodal Data of Breast Cancer Comobid Depression
Sponsor: Xiangya Hospital of Central South University
Summary
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.
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2025-03-11
Completion Date
2027-04-01
Last Updated
2025-04-22
Healthy Volunteers
No
Conditions
Locations (1)
Xiangya Hospital of Central South University
Changsha, Hunan, China