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Alternative Splicing Based Prediction of Chemotherapy Response in Gastric Cancer

NCT07587229 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 329

Last updated 2026-05-14

No results posted yet for this study

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.

Conditions

Interventions

OTHER

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.

Sponsors & Collaborators

  • City of Hope Medical Center

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-01
Primary Completion
2027-01-01
Completion
2027-01-01

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07587229 on ClinicalTrials.gov