Actively Recruiting
Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer
Led by City of Hope Medical Center · Updated on 2026-05-14
329
Participants Needed
1
Research Sites
35 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pathologically confirmed stage II or III gastric cancer
- Underwent curative surgical resection
- Received 5-FU-based adjuvant chemotherapy
- Availability of tumor tissue samples for analysis
You will not qualify if you...
- History of other malignancies
- Inadequate or poor-quality tissue samples (e.g., contamination)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
City of Hope Medical Center
Duarte, California, United States, 91016
Actively Recruiting
Research Team
A
Ajay Goel
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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