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.
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
objective response rate,ORR
Timeframe: 2025-03-11 to 2027-03-01