Research on Early Diagnosis and Risk Stratification Biomarkers of Anti-Tumor Drug-Associated Interstitial Pneumonia Driven by Multi-Omics Integration
NCT07190703 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-09-24
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.
Conditions
- Anti-Tumor Drug-Associated Interstitial Pneumonia
Sponsors & Collaborators
-
Fuzhou University Affiliated Provincial Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-09-30
- Primary Completion
- 2026-09-30
- Completion
- 2026-09-30
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