Circulating Immune Markers for Prognostic Evaluation in Postoperative Lung Cancer Patients
NCT ID: NCT07242482
Last Updated: 2025-11-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
200 participants
OBSERVATIONAL
2025-12-17
2029-12-31
Brief Summary
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Detailed Description
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This study investigates peripheral blood immune markers as non-invasive prognostic indicators. Antigen-specific effector T cells (ETASTs) are identified via multiparametric flow cytometry, co-expressing CD137 (a T-cell activation marker) and IFN-γ (an effector cytokine) following ex vivo stimulation with tumor-associated antigens. The effector T cell to regulatory T cell ratio (Teff/Treg) reflects systemic immune homeostasis, with imbalances promoting tumor immune evasion.
Blood samples (approximately 10 mL) are collected preoperatively via venipuncture and processed within 4 hours. Peripheral blood mononuclear cells (PBMCs) are isolated using Ficoll density gradient centrifugation. For ETAST detection, PBMCs undergo stimulation with a peptide pool of common NSCLC antigens (e.g., NY-ESO-1, MAGE-A3) for 6 hours in the presence of brefeldin A, followed by intracellular staining and analysis on a BD FACSCanto II flow cytometer. Teff cells are defined as CD4+ or CD8+ T cells expressing IFN-γ, TNF-α, or IL-2; Treg cells as CD4+CD25+FoxP3+. Data acquisition targets at least 100,000 events per sample, with analysis using FlowJo software.
Follow-up includes clinical assessments every 3 months for the first 2 years, then every 6 months up to 3 years, monitoring recurrence via CT scans, PET-CT if indicated, and survival endpoints. Exploratory analyses may incorporate next-generation sequencing for driver mutations (e.g., EGFR, ALK) from tumor tissue to correlate with immune profiles.
Ethical considerations prioritize participant safety, with all procedures approved by the institutional review board. Data are de-identified and stored securely, complying with GCP standards.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Preoperative Peripheral Blood Immune Marker Analysis.
Preoperative collection of approximately 5 mL peripheral blood via venipuncture, followed by isolation of peripheral blood mononuclear cells (PBMCs) using Ficoll density gradient centrifugation. PBMCs are analyzed via multiparametric flow cytometry on a BD FACSCanto II system to quantify antigen-specific effector T cells (ETASTs, co-expressing CD137 and IFN-γ after ex vivo stimulation with NSCLC antigen peptide pools like NY-ESO-1 and MAGE-A3) and the effector T cell to regulatory T cell ratio (Teff/Treg, with Teff as CD4+/CD8+ expressing IFN-γ/TNF-α/IL-2 and Treg as CD4+CD25+FoxP3+). Analysis uses FlowJo software, targeting 100,000 events per sample. This non-invasive prognostic assessment is distinct from routine clinical blood tests by its focus on tumor-specific immune activation and balance, without therapeutic intent or alteration of standard care.
Eligibility Criteria
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Inclusion Criteria
* Diagnosed with primary non-small cell lung cancer (NSCLC) and scheduled to undergo curative lung resection at the Department of Thoracic Surgery of our institution.
* Postoperative pathological stage is IB (with tumor size \>4cm or high-risk factors: poor differentiation, vascular invasion, visceral pleural invasion, sub-lobar resection, etc.), IIA, IIB, or IIIB (according to the AJCC 8th edition).
* ECOG performance status of 0 or 1.
* Voluntarily signs the informed consent form.
Exclusion Criteria
* History of other active malignancies.
* Diagnosed with severe autoimmune diseases, active infections, or immunodeficiency disorders.
* Presence of severe cardiac, hepatic, or renal dysfunction.
* Pregnant or lactating women.
18 Years
80 Years
ALL
No
Sponsors
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Zhao Jun
OTHER
Responsible Party
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Zhao Jun
Thoracic Surgery
Locations
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Soochow university, Suzhou, Jiangsu 215000
Suzhou, Jiangsu, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2025979
Identifier Type: -
Identifier Source: org_study_id
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