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Tumor Regression Grade As Predictor of Adjuvant Therapy Benefits in Patients with Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy
Neoadjuvant therapy followed by surgery is preferred for locally advanced esophageal squamous cell carcinoma, but the necessity of adjuvant therapy remains controversial. Tumor regression grade reflects the response to neoadjuvant therapy and may predict patient prognosis, yet its role in guiding adjuvant therapy remains unexplored.
We aim to explore the role of TRG and other clinical characteristics in predicting the efficacy of postoperative adjuvant therapy in ESCC patients receiving neoadjuvant therapy. This study Includes patients who underwent R0 esophagectomy for thoracic ESCC after neoadjuvant therapy. Patients will be assessed by TRG and divided into good responders (TRG 0-1) and poor responders (TRG 2-3). The main variable of interest is adjuvant therapy, and the primary outcome is OS, defined as time from diagnosis until death. Cox proportional hazards regression models will be used to calculate hazard ratios and 95% confidence intervals to assess the impact of various variables on survival time.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Fujian Medical University Union Hospital
Fuzhou, Fujian, China
Start Date
October 1, 2024
Primary Completion Date
October 1, 2025
Completion Date
October 10, 2025
Last Updated
November 29, 2024
400
ESTIMATED participants
Chemotherapy
DRUG
Lead Sponsor
Fujian Medical University Union Hospital
Collaborators
NCT07359417
NCT05473156
Data Source & Attribution
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