Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer

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.

NCT Number	NCT07587229
Lead Sponsor	City of Hope Medical Center
Conditions	Gastric Cancer
Enrollment	329 participants
Start Date	2026-05-01
Primary Completion	2027-01-01 (estimated)
Study Completion	2027-01-01 (estimated)
Updated on ClinicalTrials.gov	2026-05-14