Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules

NCT07047573 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2025-07-02

No results posted yet for this study

Summary

Research objective: To explore the clinical application effect of multi-omics detection based on flow cytometry analysis, single-cell data and images combined with clinical features in differentiating the benign and malignant nature of pulmonary nodules and the early diagnosis of lung cancer

Conditions

  • Lung Cancer (Diagnosis)
  • Pulmonary Nodule Persistent

Interventions

BIOLOGICAL

PBMCS were isolated from the peripheral blood of hospitalized patients with pulmonary nodules and incubated with nanoparticles loaded with tumor antigens for a specific period of time to detect cancer

Research on the in vitro Stimulation of Pbmc by Tumor Antigen Nanoparticles PBMCS were isolated from the peripheral blood of hospitalized patients with pulmonary nodules and incubated with nanoparticles loaded with tumor antigens for a specific period of time to detect cancer-related T cells or cytokines in vitro. The content of this type of T cells or cytokines is positively correlated with tumors. On the contrary, the content of T cells or cytokines in patients with benign pulmonary nodules is negatively correlated with the tumor. Furthermore, the benign and malignant nature of pulmonary nodules in patients is determined through the combination of patient imaging data and clinicopathological data.

Sponsors & Collaborators

  • Zhao Jun

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-06-01
Primary Completion
2026-06-30
Completion
2026-06-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07047573 on ClinicalTrials.gov