Pelvic Microbiomes of Benign and Malignant Ovarian Diseases
MTBOD-1
The Role of Pelvic Microbiomes During the Malignant Transformation of Benign Ovarian Diseases
1 other identifier
observational
40
1 country
1
Brief Summary
This case-control study aims to compare the pelvic microbiomes of benign ovarian diseases and ovarian malignancies by 16s RNA techniques and culture. Discharges/flushing fluid from vagina, faces and fimbria end of fallopian tube are collected from age and menopausal status matched patient before and during procedures of laparoscopies. The discharges/flushing fluid would be sent for 16s RNA analysis and microculture respectively, and the results would get self-contrasted comparison and case-control comparison.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jan 2018
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 22, 2017
CompletedStudy Start
First participant enrolled
January 1, 2018
CompletedFirst Posted
Study publicly available on registry
January 3, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2021
CompletedNovember 14, 2018
November 1, 2018
2 years
December 22, 2017
November 9, 2018
Conditions
Outcome Measures
Primary Outcomes (2)
Difference of species distribution of microorganism according to 16s RNA analysis
The difference of species of microorganism distribution according to 16s RNA sequencing analysis between control group and study group, and between different sampling sites in each arm
2 years
Difference of species distribution of microorganism according to microculture outcomes
Difference of species distribution of microorganism according to microculture outcomes between control group and study group, and between different sampling sites in each arm
2 years
Study Arms (2)
Benign ovarian disease
The group consists of patients of benign ovarian diseases and health conditions (eg infertility), who would accept the tests of pelvic microbiomes.
Malignant ovarian disease
The group consists of patients of high grade serous carcinoma, who would accept the tests of pelvic microbiomes.
Interventions
16s RNA analysis and microculture of discharges/flushing fluid from vagina, faces and fimbria end of fallopian tube
Eligibility Criteria
Group of benign ovarian diseases: patients with definite benigh ovarian diseases or health conditions (eg infertlity) Group of malignant ovarian diseases: patients with definite diagnosis of high grade serous carcinoma
You may qualify if:
- Laparoscopy procedures
- Specific pathological diagnosis
You may not qualify if:
- Previous history of pelvic surgeries
- Evidences of pelvic inflammation diseases
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Lei Lilead
- Academy Military Medical Science, Chinacollaborator
Study Sites (1)
Peking Union Medical College Hospital
Beijing, Beijing Municipality, 100730, China
Biospecimen
Discharges/flushing fluid from vagina, faces and fimbria end of fallopian tube are going to sent for analysis of 16s RNA.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Lei Li, MD
Peking Union Medical College Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
December 22, 2017
First Posted
January 3, 2018
Study Start
January 1, 2018
Primary Completion
January 1, 2020
Study Completion
January 1, 2021
Last Updated
November 14, 2018
Record last verified: 2018-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- For ever
We would share individual participant data to all other researchers