Methylated Biomarkers Predictive of Endometrial Cancer Risk
NCT06800677 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-01-30
Summary
The goal of this observational study is to identify endometrial cancer risk predictive biomarkers and to optimise the methodology for their detection and quantification in non-invasive samples.
Conditions
Interventions
- PROCEDURE
-
Hysterectomy
Elective hysterectomy
Sponsors & Collaborators
-
Queen Mary University of London
collaborator OTHER -
University of Manchester
lead OTHER
Eligibility
- Min Age
- 45 Years
- Max Age
- 70 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-07-31
- Primary Completion
- 2026-06-30
- Completion
- 2026-12-31
Countries
- United Kingdom
Study Locations
More Related Trials
-
A Cohort Study of Uterine Malignancies
NCT05635123 ·Status: RECRUITING
-
Endometrial Changes in Breast Cancer Women.
NCT05717634 ·Status: UNKNOWN
-
Detection of Endometrial Cancer Through Risk Modelling
NCT06268626 ·Status: RECRUITING
-
Study and Transformation of Tumor Molecular Features Screening Model of Endometrial Carcinoma Surgical Approach
NCT05894915 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Non-Invasive Diagnosis of Endometrial Cancer
NCT05737797 ·Status: RECRUITING ·Phase: NA
-
Leveraging Methylated DNA Markers (MDMs) in the Detection of Endometrial Cancer, Ovarian Cancer, and Cervical Cancer
NCT05051722 ·Status: RECRUITING
-
Endometrial Cancer Screening in High-risk Populations
NCT06125886 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Vibrational Spectroscopy for Endometrial Cancer Diagnosis
NCT05026073 ·Status: UNKNOWN
-
Early Detection of Cancers in Low Resource Countries
NCT01178736 ·Status: UNKNOWN
-
Molecular Biomarkers Predicting Early Development of Endometrial Carcinoma
NCT05273099 ·Status: UNKNOWN
-
The Study of Massively Parallel Sequencing in Early Detection for Gynecologic Malignant Tumor
NCT02166515 ·Status: UNKNOWN
-
Benign Reproductive Tissue Analysis for Endometrial Cancer Markers
NCT00481754 ·Status: COMPLETED
-
Predictive Clinical and Biological Parameters in Gynecological Cancer
NCT01977274 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
The Exploration of Personalized ctDNA Based MRD in the Clinical Significance of Cervical Cancer
NCT06283875 ·Status: NOT_YET_RECRUITING
-
An Observational Study Based on Endometrial Cancer Risk Screening Model
NCT05634798 ·Status: UNKNOWN
-
A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer.
NCT06841653 ·Status: RECRUITING
-
Investigations of Reproductive Cancers in Women
NCT06527157 ·Status: RECRUITING
-
Detection of Tumor DNA Through Cervical Smear and Liquid Biopsy in Endometrial Cancer Patients and Evaluation of Prognostic and Predictive Values of Tumor DNA Assay
NCT05504161 ·Status: UNKNOWN
-
Screening of Biomarkers on Endometrial Cancers
NCT00674349 ·Status: UNKNOWN ·Phase: NA
-
Biomarkers in Tumor Tissue Samples From Patients With Stage III, Stage IV, or Recurrent Endometrial Cancer
NCT01164735 ·Status: COMPLETED
-
Identification and Characterization of Endometrial Cancer With Specific Tumor Markers in Serum and Endometrial Tissue
NCT03498924 ·Status: COMPLETED
-
Quality of Life in Survivors of Gynecologic Cancer
NCT00003795 ·Status: COMPLETED
-
Risk Factors for Concurrent Endometrial Carcinoma in Patients With a Curettage Diagnosis of Endometrial Hyperplasia
NCT01273636 ·Status: UNKNOWN
-
Phenotypic Spectrum of CTCs in Tumors of the Female Reproductive System
NCT04817501 ·Status: COMPLETED
-
Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
NCT06365905 ·Status: RECRUITING