Genetic risk profiles could change how we monitor Barrett's esophagus

NCT ID NCT07455422

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at whether sharing genetic risk information with Barrett's esophagus patients can improve their quality of life and reduce cancer worry. Researchers will collect tissue samples and use genetic analysis to create risk profiles. Half of the 266 participants will learn their risk profile, while the other half will not. The goal is to see if this approach leads to better, more cost-effective surveillance.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to
If successful, this could lead to more personalized and cost-effective surveillance for Barrett's esophagus patients, reducing unnecessary procedures and anxiety.
What could go wrong
This is an early-stage observational study, not testing a treatment. The risk model may not prove accurate enough to change practice, and results may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • AZ Delta

    Roeselare, Belgium, 8800, Belgium

  • Antwerp University Hospital

    Edegem, Antwerpen, 2650, Belgium

  • CHU LILLE - Centre Hospitalier Universitaire de Lille

    Lille, 59000, France

  • Ghent University Hospital (UZ Gent)

    Ghent, Belgium, 9000, Belgium

  • IRCCS Ospedale San Raffaele

    Milan, Milano, 20132, Italy

  • Karolinska University Hospital

    Solna, SE-171 76, Sweden

  • Rigshospitalet

    Copenhagen, 2100, Denmark

  • Sint-Augustinus Hospital (ZAS)

    Wilrijk, Antwerpen, 2610, Belgium

  • St James's Hospital

    Dublin, D08 NHY1, Ireland

  • University Hospital Leipzig

    Leipzig, Leipzig, 04103, Germany

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