Nanfang Hospital
Guangzhou, China
Location status: Recruiting
Location contact
Lei Zheng
CONTACT
NCT Number: NCT05392413
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.
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Guangzhou, China
Location status: Recruiting
Lei Zheng
CONTACT
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.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 2022.1-2026.12
Including absolute count of lymphocyte subsets, T lymphocyte subsets, B lymphocyte subsets, NK cell subsets, regulatory T cells, MDSC, etc. and IL-6, IL-10, etc.
Time frame: 2022.1-2026.12
Including X-rays, CT, PET-CT and MR
Contact information is provided by the study sponsor or research team.
Nanfang Hospital, Southern Medical University
Other
Construction and Application of Immune Indicator Model for Predicting Efficacy of PD-1 Monoclonal Antibody in the Treatment of Advanced Esophageal Cancer
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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