Clinical Trial

Characterization of Multi-Omics Landscapes and AI Pathological Prediction Model for Long-Term Survival in NSCLC Immunotherapy

Recruiting
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Summary
This study is a retrospective, multicenter, observational cohort study in patients with advanced or locally advanced non-small cell lung cancer (NSCLC). The aim of this study was to establish a long-term survival (LTS) versus short-term survival (STS) real-world cohort, to systematically characterize the multi-omics landscapes, and to develop and validate an artificial intelligence (AI) pathological prediction model based on routine H\&E-stained images for predicting immune microenvironment features and long-term survival outcomes following immunotherapy.
Trial Details
NCT Number NCT07668037
Lead Sponsor Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Conditions Non-Small Cell Carcinoma of Lung, Immunotherapy, Advanced Non-Small Cell Lung Cancer
Enrollment 600 participants
Start Date 2026-05-01
Primary Completion 2030-05-01 (estimated)
Study Completion 2030-05-01 (estimated)
Updated on ClinicalTrials.gov 2026-06-25