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NCT06083779

Early Detection of Endometrial Cancer Using Plasma Cell-free DNA Fragmentomics

Status unknown Last updated 16 October 2023
What this trial tests

trial testing low-depth whole-genome sequencing technology in Endometrial Cancer in 216 participants. Status unknown.

Timeline
1 August 2023
Primary endpoint
31 January 2024
30 April 2024

Quick facts

Lead sponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment216
Start date1 August 2023
Primary completion31 January 2024
Estimated completion30 April 2024
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Who can join

18 and older, female only, with Endometrial Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to enable non-invasive early detection of endometrial cancer in high-risk populations through the establishment of a multimodal machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage endometrial cancer patients and healthy individuals will be subjected to whole-genome sequencing. Five different feature types, including Fragment Size Distribution, nucleosome features, SBS Signatures, BreakPoint Motif , and Copy Number Variation will be assessed to generate this model.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Beyond the Microscope: Integrating Liquid Biopsies into the Molecular Pathology Era of Endometrial Cancer.
    Perez M, Carvajal LL, Wong A, Poppiti R, et al · · 2025 · PMID 40869308 · DOI 10.3390/ijms26167987

Verify or expand the search:

Other recruiting trials for Endometrial Cancer

Currently open trials in the same condition.

Other Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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