About this trial
The primary aim of the project is to analyse gene expression in individual types of ectopic endometrium (ovarian endometriosis, peritoneal endometriosis, deep infiltrating endometriosis) and compare it with gene expression in eutopic endometrium. The analysis focuses on the identification of genes with significantly increased expression in each type of ectopic endometrium and comparison of their expression with the degree of disease, ovarian reserve and clinical manifestations of the disease (pain, infertility).
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
women (18-45 years)
signed informed consent with the study
absence of hormonal treatment 3 months before the planned procedure
patients without endometriosis
Disqualifiers
absence of informed consent
patients who do not meet the inclusion criteria during surgery
patient younger than 18 years of age or older than 45 years of age
Trial population
women (18-45 years) with or without endmetriosis
Trial design
Case-control
Prospective
Treatments tested in this trial
Molecular markes of fibrosis of single types of endometriosis and their use in predicting disease severity
Other interventionThe aim of the study is to analyze molecular markers of fibrosis in female patients with endometriosis vs. without endometriosis. These features will be compared for their clinical status and progression of the disease before and after treatment. Identification and validation of these features appears to be a crucial step in predicting progression of the disease. Moreover, we would be able to modify follow-up and treatment management in high-risk patients for endometriosis.
Treatment groups
Trial outcomes
Primary outcomes
Molecular markers of fibrosis of single types of endometriosis and their use in predicting disease severity
The aim of our study is to analyze molecular markers of fibrosis in eutopic and ectopic endometrium in women with endometriosis and compare them with endometrium of women without endometriosis. These markers will be correlated with the clinical state and course of disease before and after treatment. By this analysis we would like to find parameters that may correlate with the severity of the disease, risk of recurrence or postoperative complications.
Sponsors and contacts
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