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| ID | Type | Description | Link |
|---|---|---|---|
| F22-01302 | Other Grant/Funding Number | Canadian Institutes of Health Research (CIHR) | |
| F21-03695 | Other Grant/Funding Number | Canadian Institutes of Health Research (CIHR) |
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| Name | Class |
|---|---|
| Canadian Institutes of Health Research (CIHR) | OTHER_GOV |
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The study goal is to investigate a non-invasive approach to predict endometrial cancer (EC) risk, better understand disease progression and identify opportunities for intervention.
This two-part case-cohort prospective study will recruit patients whose abnormal uterine bleeding is being evaluated via endometrial biopsy. Participants will complete an online health questionnaire, and a subset will be invited to self-collect vaginal samples for sequencing.
Selected sequenced participants will be invited for longitudinal monitoring (questionnaires, wearable fitness tracker) and an additional vaginal self-collection to identify persistent genetic mutations or microbiome alterations 6-8 months later.
Purpose:
To improve the prediction of EC and its precursors by integrating data from questionnaires and biological biomarkers obtained from non-invasive tests (vaginal DNA and microbiome swabs, vaginal pH). We also want to better understand pre-malignant disease progression and identify opportunities for earlier intervention.
Hypotheses:
Justification:
Non-invasive tests and questionnaires may be used to predict onset of endometrial carcinoma or its precursors and can be used to triage those participants with abnormal bleeding who require an endometrial biopsy.
Objectives:
To enhance understanding of the progression of EC and propose non-invasive methods for detection in patients who are experiencing abnormal uterine bleeding and have already been referred to a gynecologist for an endometrial biopsy.
Research Design:
This is a prospective case-cohort study that will recruit n=1000+ participants over the age of 35 years whose abnormal uterine bleeding is being evaluated via endometrial biopsy. Prospective participants will consent to access the information in their medical records, including access to their pathology report. A subset of participants (n=450) will be invited to self-collect vaginal DNA and microbiome samples using swabs and vaginal pH using a litmus kit for sequencing and analysis. A subset of those who retain their uterus (i.e. are not directed to a hysterectomy per standard clinical management) (n=200+), will be invited to take part in longitudinal monitoring using a wearable fitness tracker (Fitbit) and questionnaires, and an additional vaginal self-collection.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EIN/EC BIOPSY RESULT | Vaginal samples sequenced. Participation ends here. | ||
| EH BIOPSY RESULT | Vaginal samples sequenced. Subset invited to move on to longitudinal monitoring and samples sequenced for 6 additional months. | ||
| NEGATIVE BIOPSY RESULT | Control for natural and spontaneous changes in vaginal samples sequenced. Random subset selected to move on to longitudinal monitoring and samples sequenced for 6 additional months. |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Performance of cfDNA Mutation Detection for Endometrial Pathology | Cell-free DNA (cfDNA) extracted from vaginal swabs will be sequenced to identify endometrial cancer-associated mutations. Diagnostic performance will be evaluated by calculating sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for detecting endometrial pathology, using biopsy-confirmed pathology as the reference standard. | Through study completion, anticipated 1-2 years |
| Association Between Vaginal Microbiome Profile and Endometrial Pathology | Vaginal microbiome DNA extracted from swabs will be sequenced and processed into operational taxonomic units (OTUs) using an in-house bioinformatics pipeline. OTUs will be compared across biopsy-confirmed pathology groups and evaluated against previously published microbiome signatures predictive of endometrial cancer. | Through study completion, anticipated 1-2 years |
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Inclusion Criteria:
Study Part A:
Study Part B/Longitudinal monitoring:
Exclusion Criteria:
Study Part A:
Study Part B/Longitudinal monitoring:
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The study investigators will have 10-15 study gynecologists across British Columbia, Canada, who will be recruiting study participants from patients who are referred to them for an endometrial biopsy due to abnormal uterine bleeding. The investigators aim to recruit ~1000 participants in Study Part A in order to achieve their target sample size of n=50 EIN/EC and n=150 EH.
Sequenced participants will be invited to participate in Study Part B/ Longitudinal monitoring and provide additional samples.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Aline Talhouk, PhD | Contact | +1 (604) 875-4111 | 21365 | a.talhouk@ubc.ca |
| Jennifer Ellis-White | Contact | +1 (604) 875-4111 | 21369 | jelliswh@student.ubc.ca |
| Name | Affiliation | Role |
|---|---|---|
| Aline Talhouk, PhD | University of British Columbia | Principal Investigator |
| Anna Tinker, MD | University of British Columbia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| VGH Research Pavilion | Recruiting | Vancouver | British Columbia | V5Z 1M9 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23935463 | Background | Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P. Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies. PLoS Med. 2013;10(7):e1001492. doi: 10.1371/journal.pmed.1001492. Epub 2013 Jul 30. |
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| ID | Term |
|---|---|
| D016889 | Endometrial Neoplasms |
| D008796 | Metrorrhagia |
| ID | Term |
|---|---|
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
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Vaginal DNA Vaginal microbiome Vaginal pH
| D009369 |
| Neoplasms |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |
| D014592 | Uterine Hemorrhage |
| D006470 | Hemorrhage |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |