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Research on Early Diagnosis and Risk Stratification Biomarkers of Anti-Tumor Drug-Associated Interstitial Pneumonia Driven by Multi-Omics Integration
Sponsor: Fuzhou University Affiliated Provincial Hospital
Summary
This study aims to construct an early diagnostic biomarker panel and risk stratification model for anti-tumor drug-related ILD through integrative analysis of multi-omics data including genomics, transcriptomics, proteomics, and metabolomics. Using baseline and post-treatment longitudinal samples collected from a multi-center prospective cohort, we will apply machine learning to screen for stable and reproducible feature sets and evaluate their sensitivity, specificity, and clinical applicability in an independent validation cohort. The goal is to achieve early identification and stratified management of ILD, optimize treatment decisions, reduce the incidence of severe adverse events, and improve patient survival and quality of life.
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2025-09
Completion Date
2026-09
Last Updated
2025-09-24
Healthy Volunteers
Yes