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NOT YET RECRUITING
NCT06856798

Construction of a Prognostic and Prediction Model for Perioperative Immunotherapy in NSCLC: A Multi - Omics Perspective

Sponsor: Ziming Li

View on ClinicalTrials.gov

Summary

This research focuses on exploring biomarkers for the application of PD - 1/PD - L1 immune checkpoint inhibitors in the perioperative immunotherapy of lung cancer. Multi - index tests are conducted on tissues prior to treatment, as well as blood samples at baseline and during the treatment course. The goal is to identify biomarkers capable of predicting the efficacy of neoadjuvant and adjuvant immunotherapies. Additionally, by integrating these multiple - index data into models, patients are to be stratified based on their potential benefits from perioperative immunotherapy, providing personalized guidance for clinical decision - making.

Official title: Construction of a Efficacy Stratification Prognostic and Prediction Model for Perioperative Immunotherapy in Non - Small Cell Lung Cancer Based on Multi - Omics Biomarkers

Key Details

Gender

All

Age Range

18 Years - 80 Years

Study Type

OBSERVATIONAL

Enrollment

120

Start Date

2025-03-10

Completion Date

2028-02-09

Last Updated

2025-03-04

Healthy Volunteers

No