Characterization of Multi-Omics Landscapes and AI Pathological Prediction Model for Long-Term Survival in NSCLC Immunotherapy
Condition(s) studied
Study 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.
Eligibility
Primary outcome measure(s)
- OS — From date of first ICI-based therapy initiation to death due to any cause, or censored at the date of last known follow-up, assessed up to 5 years (retrospectively collected from medical records).
Overall Survival
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Cancer Hospital Chinese Academy of Medical Sciences | Beijing | China | Recruiting |
More Cancer Institute and Hospital, Chinese Academy of Medical Sciences trials in China
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07668037 on ClinicalTrials.gov ↗ ← All trials in China