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Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer
Sponsor: City of Hope Medical Center
Summary
This study aims to develop a model to predict response to chemotherapy in gastric cancer using RNA splicing information from tumor tissue. By analyzing genetic patterns and applying machine learning, the study seeks to identify patients who are less likely to benefit from treatment, helping guide clinical decision-making.
Official title: A Multicenter Observational Study to Develop and Validate an Alternative Splicing-Based Machine Learning Model for Predicting Response to 5-FU-Based Adjuvant Chemotherapy in Gastric Cancer (VERSA-GC Study)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
329
Start Date
2026-05-01
Completion Date
2027-01-01
Last Updated
2026-05-14
Healthy Volunteers
No
Conditions
Interventions
Observational study (no intervention)
This is an observational study without assigned interventions. All patients received standard-of-care 5-FU-based adjuvant chemotherapy, and no experimental intervention was performed.
Locations (1)
City of Hope Medical Center
Duarte, California, United States