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AI-Powered Deciphering of the Immune Cell Interaction Network in the Lung Cancer Microenvironment to Identify Immunotherapy Beneficiaries

AI-Powered Deciphering of the Immune Cell Interaction Network in the Lung Cancer Microenvironment to Identify Immunotherapy Beneficiaries

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500109066
Enrollment
Unknown
Registered
2025-09-11
Start date
2025-09-15
Completion date
Unknown
Last updated
2025-09-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

lung cancer

Interventions

Lung cancer group:none

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.For patients with non-small cell lung cancer (NSCLC) stage Ia to IIIb, the diagnosis of lung cancer is based on the 9th edition of the International Lung Cancer Staging Criteria (TNM staging), combined with the results of imaging, pathology and laboratory tests; 2.Scheduled to undergo immunotherapy; 3.Through screening period examinations, including physical examination, vital signs, 12-lead ECG, infectious disease screening, and laboratory tests.

Exclusion criteria

Exclusion criteria: 1. Exclude patients who cannot tolerate tissue collection; 2. Patients who are unwilling to sign the informed consent.

Design outcomes

Primary

MeasureTime frame
Spatial distribution, functional status, and interaction patterns of immune cells;—

Secondary

MeasureTime frame
CTC, ctDNA, exosome;—

Countries

China

Contacts

Public ContactHui Xiao

Shanghai General Hospital

xiaohui771210@163.com+86 21 37798587

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026