Longitudinal analysis of lung cancer using tissue and blood samples.
Official title: Establishing a Longitudinal Cohort Study of Lung Cancer Using Tissue and Peripheral Blood Metabolomics to Explore Biomarkers and Therapeutic Mechanisms.
Run by The First Affiliated Hospital of Guangzhou Medical University · NCT06843707 · Data updated 2026-11-12
This study is trying to see if changes in blood and tissue samples from lung cancer patients can help doctors tell the difference between harmless and harmful lung nodules and improve treatment plans.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 75 Years |
| Sex | All |
| Enrollment | 2500 (estimated) |
| Sponsor | The First Affiliated Hospital of Guangzhou Medical University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | January 1, 2024 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2027 |
| Registry record updated | February 25, 2025 |
| Trial ID | NCT06843707 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18-75 with lung nodules confirmed by CT examination and good preoperative pulmonary function.
✕Probably not a fit
Patients with severe respiratory disorders or significant imaging artefacts in CT scans may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to establish a longitudinal cohort of lung cancer patients by analyzing tissue and peripheral blood samples for metabolomics. It will focus on key treatment time points, including initial screening for lung nodules, postoperative evaluations, and therapeutic monitoring. The goal is to identify metabolic alterations that could serve as biomarkers for distinguishing between benign and malignant lung nodules, predicting treatment efficacy, and assessing long-term prognosis. By uncovering the underlying metabolic mechanisms, the study seeks to enhance personalized management of lung cancer.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic and prognostic tools for lung cancer patients.
How similar studies have gone: Other studies utilizing metabolomics in cancer research have shown promise, indicating potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Signing of the informed consent form; 2. Male or female, aged 18-75 years; 3. Patients with lung nodules confirmed by CT examination; 4. Good preoperative pulmonary function cooperation and complete reporting; 5. Preoperative chest single/dual phase CT scans without significant artefacts and with complete imaging; 6. The interval between preoperative pulmonary function and single/dual phase CT scans does not exceed one month. Exclusion Criteria: 1. Poor preoperative pulmonary function cooperation or missing reports; 2. Preoperative chest single/dual phase CT scans exhibit significant artefacts or image omission; 3. The interval between preoperative pulmonary function and single/dual phase CT scans exceeds one month; 4. Complication with severe respiratory disorders (such as lung transplantation, pneumothorax, giant bullae, etc.); 5. Coexisting with other severe functional impairments; 6. Patients with obstructive lesions such as airway or esophageal stenosis; (8) Medication use before pulmonary function testing that does not meet the cessation guidelines; (9) Pulmonary function report quality graded D-F.
Where it's running
-
the First Affiliated of Guangzhou Medical University
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Jianxing He, Professer
- Email: drjiaxing.he@gmail.com
- Phone: 86-20-83337792
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.