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Multi-omics Detection Techniques for Differentiating Benign and Malignant Pulmonary Nodules
Sponsor: Zhao Jun
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
Official title: Clinical Application Research on Differentiating Benign and Malignant Pulmonary Nodules Based on Multi-omics Detection Technology
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
150
Start Date
2025-06-01
Completion Date
2026-06
Last Updated
2025-07-02
Healthy Volunteers
Yes
Interventions
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.
Locations (1)
Soochow university
Suzhou, Jiangsu, China