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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| reactive group | According to the treatment effect, the patients were divided into two groups: reactive and non-reactive. | ||
| non-reactive group | According to the treatment effect, the patients were divided into two groups: reactive and non-reactive. |
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| Measure | Description | Time Frame |
|---|---|---|
| peripheral blood immune cells and immune molecules | 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. | 2022.1-2026.12 |
| Imaging examination | Including X-rays, CT, PET-CT and MR | 2022.1-2026.12 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with advanced esophageal cell carcinoma who are ready to receive PD-1 monoclonal antibody therpy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shuai Chu | Contact | 18665000310 | shine9533@smu.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Lei Zheng | Nanfang Hospital, Southern Medical University | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Nanfang Hospital | Recruiting | Guangzhou | China |
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| ID | Term |
|---|---|
| D000077277 | Esophageal Squamous Cell Carcinoma |
| ID | Term |
|---|---|
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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| D009369 | Neoplasms |
| D018307 | Neoplasms, Squamous Cell |
| D004938 | Esophageal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D006258 | Head and Neck Neoplasms |
| D004066 | Digestive System Diseases |
| D004935 | Esophageal Diseases |
| D005767 | Gastrointestinal Diseases |