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DOvEEgene/WISE Genomics: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics
Sponsor: McGill University
Summary
This study aims to develop and validate a test for detecting ovarian and endometrial cancers early. It relies on detecting somatic mutations that are associated with these cancers from a uterine pap test. A saliva sample is also collected that acts as an internal control and has the ability to detect deleterious germline mutations associated with common hereditary cancers (such as breast, ovarian, endometrial, colon, and pancreatic cancers). A machine learning classifier is then used to discriminate between cancer and benign disease.
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1200
Start Date
2014-01
Completion Date
2026-10
Last Updated
2025-06-18
Healthy Volunteers
No
Conditions
Locations (1)
Royal Victoria Hospital (Glen Site)
Montreal, Quebec, Canada