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Development and Application of Accurate Detection Technology Based on Multimodal Data of Breast Cancer Comobid Depression

NCT06938373 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2025-04-22

No results posted yet for this study

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.

Conditions

  • Breast Neoplasms

Sponsors & Collaborators

  • Xiangya Hospital of Central South University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-11
Primary Completion
2027-03-01
Completion
2027-04-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06938373 on ClinicalTrials.gov