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

Last updated: July 5, 2022
Sponsor: Nanfang Hospital of Southern Medical University
Overall Status: Active - Recruiting

Phase

N/A

Condition

Squamous Cell Carcinoma

Esophageal Disorders

Esophageal Cancer

Treatment

N/A

Clinical Study ID

NCT05392413
NFEC-2022-079
  • Ages 18-75
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Patients with metastatic advanced esophageal squamous cell carcinoma (stage IV)confirmed by histology or cytology who are ready to receive PD-1 monoclonal antibodycombined with TP chemotherapy regimen.
  • Eastern Cooperative Oncology Group (ECOG) performance status score between 0 and 2.
  • Have measurable lesions.
  • Expected survival > 3 months.
  • Subjects who have received anti-tumor therapy in the past should be enrolled after thetoxicity of the previous treatment has returned to the baseline level (except forresidual hair loss effects) or CTCAE v4.03 scale score ≤ 1.
  • Female or male subjects of reproductive age and their partners should agree to useeffective contraception from the time of signing the ICF until 6 months after the lastdose of study drug.
  • Absolute neutrophil count (ANC) ≥1.5×109/L, platelets ≥100×109/L, hemoglobin ≥9 g/dL.Liver: Bilirubin ≤1.5 times the upper limit of normal, alkaline phosphatase (AP) ,Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) ≤3.0 times theupper limit of normal (AP, AST, ALT ≤5 times the upper limit of normal are allowed ifthere is liver metastases) Renal: Calculated creatinine clearance ≥45 mL/min.

Exclusion

Exclusion Criteria:

  • Have active, or have had an autoimmune disease that is likely to recur (eg, systemiclupus erythematosus, rheumatoid arthritis, inflammatory bowel disease, autoimmunethyroid disease, vasculitis, psoriasis, etc.) or at risk (e.g., organ transplantrecipients requiring immunosuppressive therapy).
  • Subjects who need to receive glucocorticoid (prednisone > 10 mg/day or equivalent doseof other similar drugs) or other immunosuppressive therapy due to certain conditionswithin 14 days prior to study drug administration.
  • Major surgery, or radical radiation therapy, or palliative radiation therapy withinthe previous 14 days, or radiopharmaceuticals (strontium, samarium, etc.) within 56days before starting study treatment.
  • Received systemic anti-tumor therapy, including immunotherapy, biological therapy (tumor vaccines, cytokines, or growth factors to control cancer), etc. 14 days beforestarting study treatment.
  • Have suffered from interstitial lung disease, chemical pneumonia, hypersensitivitypneumonitis, connective tissue disease pneumonia, pulmonary fibrosis, acute lungdisease, etc. (except for local interstitial pneumonia induced by radiotherapy), oruncontrolled systemic disease, including diabetes and hypertension.
  • Patients with human immunodeficiency virus (HIV) infection.
  • patients with active pulmonary tuberculosis.
  • Any active infection requiring systemic therapy by intravenous infusion within 2 weeksprior to the first dose of study drug.
  • People who have received a solid organ transplant.
  • Patients who have received any antibody/drug (including anti-programmed death-1 (PD-1), PD-L1, etc.) targeting T-cell co-regulatory proteins (immune checkpoints).

Study Design

Total Participants: 200
Study Start date:
August 01, 2022
Estimated Completion Date:
December 31, 2026

Study 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.

Connect with a study center

  • Nanfang Hospital

    Guangzhou,
    China

    Active - Recruiting

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