Methylated Biomarkers Predictive of Endometrial Cancer Risk

N/AActive Not RecruitingNCT06800677

University of Manchester200 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

200

Conditions

Endometrial Cancer

Interventions

HysterectomyPROCEDURE

Elective hysterectomy

Eligibility

Sex: FEMALEMin age: 45 YearsMax age: 70 Years

Medical Language ↔ Plain English

Inclusion Criteria: 1. Women aged 45-70 years 2. Attending St Mary's Hospital, Manchester for an elective hysterectomy by any route for either the treatment of endometrial cancer or a benign gynaecological condition 3. Able to consent to participation in the study Exclusion Criteria: 1. Presence of malignancy asides from endometrial cancer 2. Undergoing elective hysterectomy for suspected ovarian cancer

Locations (1)

Manchester University NHS Foundation Trust

Manchester, United Kingdom

Outcomes

Primary Outcomes

Sensitivity, specificity, negative and positive predictive value of single gene methylation classifiers in predicting the presence of endometrial cancer in minimally- and invasive samples

Time frame: 1 day

Secondary Outcomes

Sensitivity, specificity, positive and negative predictive value of a multi-gene methylation classifier for predicting the presence of endometrial cancer

Time frame: 1 day

Data from ClinicalTrials.gov

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