Clinical trial Recruiting at 1 site Observational Ages 18 to 75

Longitudinal study on lung cancer using proteomics analysis

Official title: LcProt: Proteomics Longitudinal Cohort Study on Lung CancerProspective Longitudinal Cohort Study of Lung Cancer Based on Peripheral Blood and Tissue Proteomics

Run by The First Affiliated Hospital of Guangzhou Medical University · NCT06778512 · Data updated 2026-11-12

This study is trying to see if analyzing proteins in blood and tissue samples from lung cancer patients can help doctors better understand the disease and improve treatment outcomes.

Quick facts

Study typeObservational
Ages18 Years to 75 Years
SexAll
Enrollment2500 (estimated)
SponsorThe First Affiliated Hospital of Guangzhou Medical University
Academic / other
Locations1 site (Guangzhou, Guangdong)
StatusRecruiting
StartedJune 1, 2019
Main results expectedDecember 1, 2026
Study endsDecember 2026
Registry record updatedJanuary 16, 2025
Trial IDNCT06778512 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 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 for proteomics analysis in lung cancer patients by utilizing tissue and peripheral blood samples. It will focus on key treatment time points, including screening, postoperative efficacy prediction, and evaluation of therapeutic outcomes. The goal is to explore the potential of proteomics in distinguishing between benign and malignant lung conditions and assessing long-term prognosis. By analyzing protein profiles, the study seeks to enhance the understanding of lung cancer diagnosis and treatment.

Why it matters

Potential benefit: If successful, this study could improve the accuracy of lung cancer diagnosis and treatment efficacy predictions for patients.

How similar studies have gone: While proteomics has been explored in other cancer studies, this specific longitudinal approach in lung cancer is relatively novel.

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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.