DOvEEgene/WISE Genomics: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics
Ovarian Neoplasms | Endometrial Neoplasms | Ovarian Cancer | Endometrial Cancer | Early Diagnosis | Safety |...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.
null
Participation Requirements
-
Sex:
FEMALE -
Eligible Ages:
18 and up
Participation Criteria
Case Inclusion:
* Subjects should have suspected or confirmed cancer of the upper genital tract.
* Participant will undergo surgery for tumour removal.
Control inclusion:
• Subjects should be scheduled to have a hysterectomy, bilateral salpingectomy, with or without bilateral oophorectomy, for presumed benign disease.
Study Location
Royal Victoria Hospital (Glen Site)
Royal Victoria Hospital (Glen Site)Montreal, Quebec
Canada
Contact Study Team
Jewish General Hospital
Jewish General HospitalMontreal, Quebec
Canada
Contact Study Team
- Study Sponsored By
- McGill University
- Participants Required
- More Information
- Study ID:
NCT02288676