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RecruitingNCT05392413

Immune Indicator Model for Predicting Efficacy of PD-1 Monoclonal Antibody

Construction and Application of Immune Indicator Model for Predicting Efficacy of PD-1 Monoclonal Antibody in the Treatment of Advanced Esophageal Cancer

Status
Recruiting
Phase
Study type
Observational
Enrollment
200 (estimated)
Sponsor
Nanfang Hospital, Southern Medical University · Academic / Other
Sex
All
Age
18 Years – 75 Years
Healthy volunteers

Summary

200 patients with advanced esophageal cancer who received PD-1 monoclonal antibody treatment would be enrolled in this study. Changes in peripheral blood immune cells before and after treatment would be recorded and used for machine learning to establish a prediction model for the efficacy of PD-1 monoclonal antibody treatment.

Detailed description

PD-1 monoclonal antibody has been used as a first-line drug for the treatment of advanced esophageal cancer, however, the ideal predictor of efficacy has not been established. The peripheral immune system plays an important role in driving anti-tumor effects, and the characteristics of peripheral immune cells can predict the effect of PD-1 monoclonal antibody therapy. However, the value of a single indicator for predicting the effect of PD-1 monoclonal antibody therapy is greatly limited. 200 patients with advanced esophageal cancer who received PD-1 monoclonal antibody treatment would be enrolled. Changes in peripheral blood immune cells before and after treatment would be recorded and used for machine learning to establish a prediction model for the efficacy of PD-1 monoclonal antibody treatment. The application between the indicator model and the expression level of PD-L1 in tumor tissue in predicting the efficacy of PD-1 monoclonal antibody in advanced esophageal cancer will be also study. This study aims to establish a peripheral blood immune cell-based models to predict the efficacy of PD-1 monoclonal antibody therapy for advanced esophageal cancer, provide a basis for guiding the selection of treatment options for advanced esophageal cancer, and improve the efficacy of PD-1 monoclonal antibody therapy.

Conditions

Timeline

Start date
2022-08-01
Primary completion
2025-12-31
Completion
2026-12-31
First posted
2022-05-26
Last updated
2022-07-06

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT05392413. Inclusion in this directory is not an endorsement.