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Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer
RECRUITINGSponsored by City of Hope Medical Center
Actively Recruiting
SponsorCity of Hope Medical Center
Started2026-05-01
Est. completion2027-01-01
Eligibility
Age18 Years+
Healthy vol.Accepted
Locations1 site
View on ClinicalTrials.gov →
NCT07587229
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.
Eligibility
Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria: * 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 Exclusion Criteria: * History of other malignancies * Inadequate or poor-quality tissue samples (e.g., contamination)
Conditions2
CancerGastric Cancer
Locations1 site
City of Hope Medical Center
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Actively Recruiting
SponsorCity of Hope Medical Center
Started2026-05-01
Est. completion2027-01-01
Eligibility
Age18 Years+
Healthy vol.Accepted
Locations1 site
View on ClinicalTrials.gov →
NCT07587229