DOvEEgene: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- 280
Summary
- Conditions
- Early Diagnosis
- Endometrial Cancer
- Endometrial Neoplasms
- Ovarian Cancer
- Ovarian Neoplasms
- Reduced Morbidity
- Reduced Mortality
- Safety
- Screening
- Type
- Observational
- Design
- Observational Model: Case-ControlTime Perspective: Cross-Sectional
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Only males
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 th...
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.
Tracking Information
- NCT #
- NCT02288676
- 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