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DOvEEgene: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics (DOvEEgene)

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ClinicalTrials.gov Identifier: NCT02288676
Recruitment Status : Recruiting
First Posted : November 11, 2014
Last Update Posted : May 2, 2024
Sponsor:
Collaborators:
McGill University Health Centre/Research Institute of the McGill University Health Centre
Genome Quebec
Jewish General Hospital
Information provided by (Responsible Party):
Dr. Lucy Gilbert, McGill University

Tracking Information
First Submitted Date October 28, 2014
First Posted Date November 11, 2014
Last Update Posted Date May 2, 2024
Actual Study Start Date January 2014
Estimated Primary Completion Date October 2025   (Final data collection date for primary outcome measure)
Current Primary Outcome Measures
 (submitted: September 7, 2018)
Detection of cancer-related mutations [ Time Frame: 3 years ]
Diagnosis ovarian and endometrial cancers by detection of cancer-related mutation taken by brush sample of uterus with high sensitivity and specificity.
Original Primary Outcome Measures
 (submitted: November 7, 2014)
Detection of cancer-related mutations [ Time Frame: On average, 18 months after clinic visit ]
This outcome will allow us to determine which of the sampling methods most correctly identifies the presence/absence of cancer-related mutations.
Change History
Current Secondary Outcome Measures
 (submitted: September 7, 2018)
  • Patient related outcomes including pain and acceptability [ Time Frame: 3 years ]
    Pain scores reported by participants on numeric pain and discomfort scale (NPS). Patients' attitude towards the test including willingness to have it done on an annual basis will be evaluated.
  • Risks associated with the DOvEEgene test [ Time Frame: 3 years ]
    Evaluate all risks associated with the DOvEEgene test including complications from the sampling technique as well as unnecessarily interventions resulting from false positive tests.
Original Secondary Outcome Measures
 (submitted: November 7, 2014)
  • Pain scores, reported by participants on Visual Analogue Scale [ Time Frame: During clinic visit, on average 20 minutes ]
    Directly following each collection, participants will be asked to rate their pain on the Visual Analogue Scale.
  • Discomfort scores, reported by participants on Visual Analogue Scale [ Time Frame: During clinic visit, on average 20 minutes ]
    Directly following each collection, participants will be asked to rate their discomfort on the Visual Analogue Scale.
  • Acceptability of methods, reported by participants [ Time Frame: During clinic visit, on average 20 minutes ]
    Participants will be asked if -hypothetically- they would be willing to undergo such a procedure on an annual basis as a screening test, should it prove to be useful.
Current Other Pre-specified Outcome Measures Not Provided
Original Other Pre-specified Outcome Measures Not Provided
 
Descriptive Information
Brief Title DOvEEgene: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics
Official Title DOvEEgene: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics
Brief Summary This study aims to develop and validate a test for diagnosing ovarian and endometrial cancers early. It relies on detecting somatic mutations that are associated with these cancers in a biofluids sample taken from the cervix and the uterine cavity.
Detailed Description

For women in high-income countries, ovarian/fallopian tube and endometrial cancers are within the top four cancers in terms of incidence, death and healthcare expenditure. The deaths associated with these cancers are largely caused by stage III/IV disease, for which cure rates have not changed in three decades, despite escalating costs of treatment. Attempts at early diagnosis have been ineffective in reducing mortality, because the high-grade subtypes, which account for the majority of deaths, metastasize while the primary cancer is still small, has not caused symptoms, and is undetectable by imaging or blood tumour markers.

In recent years, the recognition that somatic mutations are early steps in carcinogenesis has led to a shift from tests such as imaging and non-specific blood tumour markers to technology that detects cancer-associated mutations in cervical, uterine, or blood samples. Several DNA-tagging technologies have been shown to be capable of identifying small amount of cancer DNA among thousands of normal cells, the proverbial needle in a haystack.

This investigation aims to develop and validate an in-house developed DNA tagging technology 'DOvEEgene-Haloplex' for the early diagnosis of endometrial and ovarian cancers. The assay pipeline for barcoding and agnostic testing of the biofluids must lend itself to automation and high throughput testing. It must have good sensitivity and more importantly very high specificity, as the only way to corroborate a positive test is to remove the uterus, tubes and ovaries.

Study Type Observational
Study Design Observational Model: Case-Control
Time Perspective: Cross-Sectional
Target Follow-Up Duration Not Provided
Biospecimen Not Provided
Sampling Method Non-Probability Sample
Study Population The participating hospitals run multiple weekly routine gynecology and gynecologic oncology clinics. The cases include women scheduled to undergo surgery for tumor removal, for either proven or suspected upper genital tract cancer. The controls include women scheduled to have a hysterectomy, bilateral salpingectomy (removal of the fallopian tubes) with/without bilateral oophorectomy (removal of the ovaries) to treat benign conditions.
Condition
  • Ovarian Neoplasms
  • Endometrial Neoplasms
  • Endometrial Cancer
  • Ovarian Cancer
  • Screening
  • Safety
  • Reduced Mortality
  • Reduced Morbidity
  • Early Diagnosis
Intervention Not Provided
Study Groups/Cohorts
  • Case Group
    Participants must have suspected or confirmed upper genital tract cancer (uterine, tubal and ovarian) and must be scheduled to undergo surgery for tumor removal.
  • Control Group
    Participants must not be under investigation for any pre-cancerous or cancerous lesions of the genital tract, and must be scheduled for a hysterectomy, bilateral salpingectomy with/without bilateral oopherectomy for presumed benign condition.
Publications *

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruitment Information
Recruitment Status Recruiting
Estimated Enrollment
 (submitted: February 18, 2020)
1200
Original Estimated Enrollment
 (submitted: November 7, 2014)
280
Estimated Study Completion Date October 2026
Estimated Primary Completion Date October 2025   (Final data collection date for primary outcome measure)
Eligibility 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.

Sex/Gender
Sexes Eligible for Study: Female
Ages 18 Years and older   (Adult, Older Adult)
Accepts Healthy Volunteers No
Contacts
Contact: Dr. Lucy Gilbert, MD,MSc,FRCOG (514) 934-1934 ext 34049 lucy.gilbert@mcgill.ca
Contact: Dr. Claudia Martins, PhD (514) 934-1934 ext 35249 claudia.martins@mcgill.ca
Listed Location Countries Canada
Removed Location Countries  
 
Administrative Information
NCT Number NCT02288676
Other Study ID Numbers A08-M79-13B
Has Data Monitoring Committee No
U.S. FDA-regulated Product Not Provided
IPD Sharing Statement Not Provided
Current Responsible Party Dr. Lucy Gilbert, McGill University
Original Responsible Party Dr. Lucy Gilbert, McGill University, Professor, Department of Obstetrics and Gynecology
Current Study Sponsor McGill University
Original Study Sponsor Same as current
Collaborators
  • McGill University Health Centre/Research Institute of the McGill University Health Centre
  • Genome Quebec
  • Jewish General Hospital
Investigators
Principal Investigator: Dr. Lucy Gilbert, MD,MSc,FRCOG Professor, McGill University
Study Director: Dr Ioannis Ragoussis, PhD Genome Quebec
PRS Account McGill University
Verification Date May 2024