Fact CheckerSign in

NCT07668037Recruiting

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

Characterization of Multi-Omics Landscapes in Long-Term Survival Following Immunotherapy and Development of an AI Pathological Prediction Model for Long-Term Survival Based on H&E-Stained Images in Advanced Non-Small Cell Lung Cancer

Source: ClinicalTrials.gov · Last updated 25 Jun 2026

Brief summary (registry, in English)

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.

Status (registry)
Recruiting
Study type
Observational
Enrollment
600 (estimated)
First submitted
17 Jun 2026
Start date
1 May 2026
Primary completion date
1 May 2030
Lead sponsor
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Diseases
Lung cancer
NCT number
NCT07668037

What you commit to

  • Study type: Observational
  • Planned participants: 600
  • From 1 May 2026 to the primary completion date, 1 May 2030
  • 1 site in 1 country
  • Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Prior treatment

  • Patients whose systemic therapy did not include an immunotherapy regimen.

Other

  • Patients lost to follow-up.

Who the study is looking for

  • Patients with pathologically confirmed advanced or locally advanced non-small cell lung cancer (NSCLC).
  • Patients derived from real-world data of multiple centers (including Cancer Hospital, Chinese Academy of Medical Sciences; Cancer Hospital of Shanxi, Chinese Academy of Medical Sciences \[Shanxi Cancer Hospital\]; and other participating centers) or from completed phase III clinical trials (e.g., Choice-01, Rationale-307, Rationale-304).
  • Patients who received first-line or later-line immune checkpoint inhibitor (ICI) monotherapy or ICI-based combination therapy.
  • Patients with complete clinical information and available follow-up data.

Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.

SiteCityCountrySite status
Cancer Hospital, Chinese Academy of Medical Sciences
Coordinator of this site? Confirm its status
BeijingChinaRecruiting

This page is information, not medical advice. Discuss any trial with your doctor.