NCT06572852

Brief Summary

This study is a multicentric, observational, case-control, non-profit with additional procedures. It aims to deepen the understanding of the chronic gynecological conditions of endometriosis and adenomyosis, which significantly impact women's reproductive health. Its purpose is to improve early diagnosis and personalized treatment of these conditions using a multi-omic approach, that integrates genetic, epigenetic, imaging, and endometrial receptivity data. The goal is also to refine image-based predictions through recent advancements in artificial intelligence and to study uterine extracellular vesicles to assess fertility non-invasively. The study targets patients with endometriosis and/or adenomyosis and involves women seeking fertility treatments at assisted reproduction centers, who will serve as a control population. The study comprises both prospective and retrospective components. The prospective recruitment involves the collection of blood and uterine fluid samples, while the retrospective element utilizes pre-existing biobank samples for comprehensive genetic and epigenetic analysis.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
530

participants targeted

Target at P75+ for all trials

Timeline
4mo left

Started Nov 2024

Geographic Reach
1 country

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress83%
Nov 2024Aug 2026

First Submitted

Initial submission to the registry

August 23, 2024

Completed
4 days until next milestone

First Posted

Study publicly available on registry

August 27, 2024

Completed
2 months until next milestone

Study Start

First participant enrolled

November 7, 2024

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2026

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 30, 2026

Expected
Last Updated

October 7, 2025

Status Verified

October 1, 2025

Enrollment Period

1.3 years

First QC Date

August 23, 2024

Last Update Submit

October 2, 2025

Conditions

Keywords

Case-controlRetrospectiveProspectiveGeneticEndometriosisAdenomyosisMachine learningEpigenetic

Outcome Measures

Primary Outcomes (2)

  • Identification of epigenetic profile

    To identify specific CpG sites that exhibit differential methylation levels between endometriosis cases and controls. These methylation profiles, polygenic risk scores (PRS), and clinical questionnaire data will be used to classify cases and controls through machine learning analysis.

    2 years

  • Identification of genetic profile

    In addition to the differential methylation analysis, 'high-resolution SNP genotyping' will be employed. This genotyping will adjust the methylation analysis and aid in deriving polygenic risk scores.

    2 years

Secondary Outcomes (1)

  • Development and validation of a diagnostic model

    2 years

Other Outcomes (1)

  • Characterization of uterine fluid extracellular vesicles (UF-EVs)

    2 years

Study Arms (5)

Cases with both endometriosis and adenomyosis

100 women diagnosed with both endometriosis and adenomyosis (cases). These participants are part of couples seeking fertility treatment at Assisted Reproduction Centers. The diagnosis of both endometriosis and adenomyosis will be made through ultrasound imaging at the IVF centers. The recruitment involves the collection of blood for genetic and epigenetic analysis, and acquiring ultrasound images for machine learning analysis.

Other: No intervention

Cases with only endometriosis

15 women diagnosed exclusively with endometriosis (cases): This subgroup consists of women who have been diagnosed with endometriosis but show no ultrasound evidence of adenomyosis. The recruitment involves the collection of blood for genetic and epigenetic analysis, acquiring ultrasound images for machine learning analysis, and collecting uterine fluid samples to study gene expression profiles through uterine fluid extracellular vesicles (UF-EVs).

Other: No intervention

Cases with only adenomyosis

15 women diagnosed exclusively with adenomyosis (cases): This subgroup includes women diagnosed solely with adenomyosis, without any ultrasonographic signs of endometriosis. The recruitment involves the collection of blood for genetic and epigenetic analysis, acquiring ultrasound images for machine learning analysis, and collecting uterine fluid samples to study gene expression profiles through uterine fluid extracellular vesicles (UF-EVs).

Other: No intervention

Controls

400 women from couples seeking fertility treatment at infertility clinics (controls): These participants, who will be part of couples attempting to conceive, will be actively seeking treatment for infertility or other gynecological symptoms. Crucially, these individuals will have undergone ultrasound screenings that have excluded the presence of endometriosis or adenomyosis. The recruitment involves the collection of blood for genetic and epigenetic analysis, and acquiring ultrasound images for machine learning analysis.

Other: No intervention

Cases of endometriosis with pre-existing genotyping data

This group will consist of 300 DNA biobanked samples from women diagnosed with endometriosis. These samples come with pre-existing genotyping data, which will be integrated into the study to provide a robust genetic baseline for comparative analyses.

Other: No intervention

Interventions

No intervention

Cases of endometriosis with pre-existing genotyping dataCases with both endometriosis and adenomyosisCases with only adenomyosisCases with only endometriosisControls

Eligibility Criteria

Age18 Years - 40 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodNon-Probability Sample
Study Population

The study will involve a total of 530 participants selected from two Assisted Reproduction Centers. The participant population includes: * Group A: 100 women diagnosed with both endometriosis and adenomyosis (cases). * Group B: 15 women diagnosed exclusively with endometriosis (cases). * Group C: 15 women diagnosed exclusively with adenomyosis (cases). * 400 women from couples seeking fertility treatment at infertility clinics (controls). Additionally, Group D will consist of 300 DNA biobank samples from women diagnosed with endometriosis.

You may qualify if:

  • Participants eligible for cases with endometriosis and adenomyosis, must meet the following criteria:
  • Able to give informed consent for participation in the study.
  • European descent.
  • Confirmed diagnosis of both endometriosis and adenomyosis through ultrasound screening.
  • Listed for assisted reproductive treatment, specifically within their first or second IVF cycle.
  • Participants eligible for cases with only endometriosis must meet the following criteria:
  • Able to give informed consent for participation in the study.
  • European descent.
  • Confirmed diagnosis of endometriosis with no ultrasound evidence of adenomyosis.
  • Enrolled in an assisted reproductive treatment cycle involving embryo thawing.
  • Participants eligible for cases with only adenomyosis must meet the following criteria:
  • Able to give informed consent for participation in the study.
  • European descent.
  • Confirmed diagnosis of adenomyosis with no ultrasound evidence of endometriosis.
  • Enrolled in an assisted reproductive treatment cycle involving embryo thawing.
  • +6 more criteria

You may not qualify if:

  • Patients unable or unwilling to sign the informed consent
  • Individuals who exhibit the presence of sactosalpinx or other uterine pathologies such as fibroids, polyps, or irregular endometrial thickening will be excluded from participation in this study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Azienda Ospedaliero Universitaria Renato Dulbecco di Catanzaro

Catanzaro, Catanzaro, 88100, Italy

ACTIVE NOT RECRUITING

IRCCS San Raffaele Hospital

Milan, Milano, 20132, Italy

RECRUITING

Related Publications (2)

  • Giacomini E, Scotti GM, Vanni VS, Lazarevic D, Makieva S, Privitera L, Signorelli S, Cantone L, Bollati V, Murdica V, Tonon G, Papaleo E, Candiani M, Vigano P. Global transcriptomic changes occur in uterine fluid-derived extracellular vesicles during the endometrial window for embryo implantation. Hum Reprod. 2021 Jul 19;36(8):2249-2274. doi: 10.1093/humrep/deab123.

    PMID: 34190319BACKGROUND
  • Vercellini P, Vigano P, Bandini V, Buggio L, Berlanda N, Somigliana E. Association of endometriosis and adenomyosis with pregnancy and infertility. Fertil Steril. 2023 May;119(5):727-740. doi: 10.1016/j.fertnstert.2023.03.018. Epub 2023 Mar 21.

    PMID: 36948440BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

The biological samples collected for the study include blood and uterine fluid.

MeSH Terms

Conditions

EndometriosisAdenomyosis

Condition Hierarchy (Ancestors)

Genital Diseases, FemaleFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesGenital DiseasesUterine Diseases

Study Officials

  • MASSIMO CANDIANI

    IRCCS San Raffaele

    PRINCIPAL INVESTIGATOR

Central Study Contacts

LUCA PAGLIARDINI

CONTACT

ENRICO PAPALEO

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

August 23, 2024

First Posted

August 27, 2024

Study Start

November 7, 2024

Primary Completion

February 28, 2026

Study Completion (Estimated)

August 30, 2026

Last Updated

October 7, 2025

Record last verified: 2025-10

Data Sharing

IPD Sharing
Will not share

Locations