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NCT Number: NCT07190703

Research on Early Diagnosis and Risk Stratification Biomarkers of Anti-Tumor Drug-Associated Interstitial Pneumonia Driven by Multi-Omics Integration

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.

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Key information

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults ≥18 years of age with the ability to independently provide written informed consent, fulfilling the criteria for either the oncology or control cohort, capable of undergoing baseline BALF and peripheral blood sampling at treatment commencement or time of diagnosis, and consenting to serial blood sampling at 2-4 weeks and 8-12 weeks following treatment initiation.

Exclusion criteria

  • Active infection or established non-drug-related etiology of ILD (including but not limited to connective tissue disease-associated ILD, environmental or occupational exposure-induced ILD, active radiation pneumonitis)
  • Prolonged pre-enrollment treatment with moderate-to-high dose systemic corticosteroids or immunosuppressive agents that would compromise baseline evaluation
  • Absolute contraindications to bronchoscopic procedures or inability to comply with scheduled key follow-up assessments
  • Severe decompensated comorbid conditions
  • Pregnancy or lactation period.

Treatment and study plan

Primary outcomes

  1. Treatment Response Rate

    Time frame: 12 week

Study contacts

Contact information is provided by the study sponsor or research team.

Xiujuan Yao

CONTACT

[email protected]

+8613950391209

Sponsors and collaborators

Lead sponsor

Fuzhou University Affiliated Provincial Hospital

Other

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Sep 24, 2025
Registry last updated
Sep 24, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.