- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04661072
Congenital Uterine Anomalies: Identifying Cancer Associations and Genetic and Environmental Factors to Improve Clinical Care
Study Overview
Status
Conditions
Detailed Description
Aim 1: To identify female subjects diagnosed with a Congenital Uterine Anomaly (CUA) receiving care at Yale New Haven Health.
Aim 2: Identify (i) the prevalence of renal, breast, ovarian, uterine and vaginal cancers associated with CUAs, and (ii) the association of environmental factors, via a survey obtained by phone, email or interview.
Aim 3: Conduct genetic evaluation of the index subjects, parents, sister(s) (as feasible), and female offspring to identify potential causes and patterns of inheritance using whole exome sequencing (WES) and microarray.
Following informed consent, blood will be collected for genetic evaluation. DNA will be extracted from EDTA-blood and analyzed using an integrated approach of microarray for copy number variations (CNV), and Whole Exome Sequencing (WES) for Single Nucleotide Variation (SNV).
Undertaking review of the medical records will identify the cohort of patients we wish to survey to then ascertain further information regarding their CUA diagnosis and other related details. The information to be elicited from the survey are outlined in the attached survey questions. Key associations we seek to investigate include (1) the type and prevalence of renal, breast, ovarian, uterine and vaginal cancers among patients with Mullerian Anomaly, and (2) identifying potential in-utero exposure to particular environmental agents in patients with CUAs.
Review of the medical records will enable us to undertake this first key step of establishing a cohort of subjects with MA and an initial data set related to their specific health information. We anticipate further investigations may build upon this initial data set, both with the cohort established, and more broadly with collaborators and additional national and international cohorts of patients with MA.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Alla Vash-Margita, MD
- Phone Number: 203-785-4010
- Email: alla.vash-margita@yale.edu
Study Contact Backup
- Name: Miranda Margetts, PhD
- Email: miranda.margetts@yale.edu
Study Locations
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Connecticut
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New Haven, Connecticut, United States, 06511
- Recruiting
- Yale University
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Contact:
- Monica G Konstantino, RN
- Phone Number: 203-785-5816
- Email: monica.konstantino@yale.edu
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Principal Investigator:
- Alla Vash-Margita, MD, FACOG
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- females
- age: 13 or older
- encounters limited to: Yale New Haven Hospital, Bridgeport Hospital, Greenwich Hospital and Lawrence+ Memorial Hospital.
- diagnosis of any variation of CUA
Exclusion Criteria:
- who will decline to participate in a study upon contact
- non-English speaking except Spanish speaking
- unable to participate in consent or assent process due to mental disability
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Patients with Congenital Uterine Anomalies (CUA)
The rates of renal, breast, uterine, ovarian and vaginal cancers in women who have been diagnosed with a CUA will be studies
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Prevalence of breast cancer in women with CUA's compared to women without CUA's
Time Frame: 6-months
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Prevalence of breast cancer in women with CUA's compared to women without CUA's will be measured
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6-months
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Prevalence of ovarian cancer in women with CUA's compared to women without CUA's
Time Frame: 6-months
|
Prevalence of ovarian cancer in women with CUA's compared to women without CUA's will be measured
|
6-months
|
Prevalence of uterine cancer in women with CUA's compared to women without CUA's
Time Frame: 6-months
|
Prevalence of uterine cancer in women with CUA's compared to women without CUA's will be measured
|
6-months
|
Prevalence of cervical cancer in women with CUA's compared to women without CUA's
Time Frame: 6 month
|
Prevalence of cervical cancer in women with CUA's compared to women without CUA's will be measured
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6 month
|
Prevalence of vaginal cancer in women with CUA's compared to women without CUA's
Time Frame: 6 month
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Prevalence of vaginal cancer in women with CUA's compared to women without CUA's will be measured
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6 month
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Prevalence of renal cancer in women with CUA's compared to women without CUA's
Time Frame: 6 month
|
Prevalence of renal cancer in women with CUA's compared to women without CUA's will be measured
|
6 month
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Whole exome sequencing (WES) and microarray
Time Frame: 24 months
|
WES and microarray will be conducted in subjects with CUAs.
The discovery of possible causative genes would be measured using yes/no outcome variable.
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24 months
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Alla Vash-Margita, MD, Yale University
- Principal Investigator: Emanuele Pelosi, MD, Yale University
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2000028592
- 1R03HD109641-01A1 (U.S. NIH Grant/Contract)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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