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

June 22, 2026 updated by: Jie Wang, Cancer Institute and Hospital, Chinese Academy of Medical Sciences

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

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.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Jie Wang, MD,PhD
  • Phone Number: 8610-87788029
  • Email: zlhuxi@163.com

Study Contact Backup

Study Locations

  • China
      • Beijing, China
        • Recruiting
        • Cancer Hospital Chinese Academy of Medical Sciences
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

This study population consists of patients with pathologically confirmed advanced or locally advanced non-small cell lung cancer (NSCLC) who received immune checkpoint inhibitor (ICI)-based therapy (monotherapy or combination therapy) as first-line or later-line treatment. Participants are derived from real-world data across multiple centers in China, including Cancer Hospital, Chinese Academy of Medical Sciences, and its affiliated hospitals, as well as from completed phase III clinical trials (Choice-01, Rationale-307, Rationale-304). A total of approximately 600 patients will be included and classified into two groups based on overall survival: long-term survival group (LTS, OS > 5 years) and short-term survival group (STS, OS < 1 year).

Description

Inclusion Criteria:

  • 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.

Exclusion Criteria:

  • Patients whose systemic therapy did not include an immunotherapy regimen.
  • Patients lost to follow-up.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Long-term survival (LTS) group
patients with overall survival of more than 5 years after initial immunotherapy
Short-term survival (STS) group
patients with overall survival of less than 1 year after initial immunotherapy

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
OS
Time Frame: 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
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).

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Investigators

  • Principal Investigator: Jie Wang, MD, PhD, Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2026

Primary Completion (Estimated)

May 1, 2030

Study Completion (Estimated)

May 1, 2030

Study Registration Dates

First Submitted

June 17, 2026

First Submitted That Met QC Criteria

June 22, 2026

First Posted (Actual)

June 25, 2026

Study Record Updates

Last Update Posted (Actual)

June 25, 2026

Last Update Submitted That Met QC Criteria

June 22, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • NCC6168

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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