To Conduct Multi-omics Integrated Studies in Peripheral Blood, Such as Fragment Omics, Metabolomics and Epigenetics, and Establish Non-invasive Dynamic Follow-up Monitoring Programs During Perioperative and Postoperative Periods (Observational Study)
NCT07291921 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-03-03
Summary
This project aims to innovatively integrate multi-omics data, including plasma metabolomics, radiomics, and cfDNA multi-level information, combined with survival data (e.g., RFS), to establish a novel multidimensional approach for noninvasive postoperative recurrence monitoring in lung cancer using artificial intelligence algorithms. The goal is to develop a new noninvasive recurrence monitoring system for lung cancer.
Conditions
- Lung Neoplasms
- Neoadjuvant Therapy
- Immunotherapy
- Minimal Residual Disease
Sponsors & Collaborators
-
Peking University People's Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-05-08
- Primary Completion
- 2027-10-31
- Completion
- 2027-10-31
Countries
- China
Study Locations
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