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
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Tracking Information | |||||||||
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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 |
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.
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Original Primary Outcome Measures |
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.
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Change History | |||||||||
Current Secondary Outcome Measures |
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Original Secondary Outcome Measures |
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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. |
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Study Type | Observational | ||||||||
Study Design | Observational Model: Case-Control Time Perspective: Cross-Sectional |
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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. | ||||||||
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Intervention | Not Provided | ||||||||
Study Groups/Cohorts |
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Publications * |
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||||||
Recruitment Status | Recruiting | ||||||||
Estimated Enrollment |
1200 | ||||||||
Original Estimated Enrollment |
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:
Control inclusion: • Subjects should be scheduled to have a hysterectomy, bilateral salpingectomy, with or without bilateral oophorectomy, for presumed benign disease. |
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Sex/Gender |
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Ages | 18 Years and older (Adult, Older Adult) | ||||||||
Accepts Healthy Volunteers | No | ||||||||
Contacts |
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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 |
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Investigators |
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PRS Account | McGill University | ||||||||
Verification Date | May 2024 |