Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer

Recruiting now

Conditions studied: Gastric Cancer

In brief

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.

Key facts

Study ID

NCT07587229

Run by

City of Hope Medical Center

People needed

329

Starts

2026-05-01

Expected to finish

2027-01-01

Last updated by the study team

2026-05-14

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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 may not qualify if…

• History of other malignancies
• Inadequate or poor-quality tissue samples (e.g., contamination)

Where it is running

• City of Hope Medical Center — Duarte, California, United States (enrolling)

Full record on ClinicalTrials.gov

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