- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06083779
Early Detection of Endometrial Cancer Using Plasma Cell-free DNA Fragmentomics
A Prospective Study of Early Detection of Endometrial Cancer Using Plasma Cell-free DNA Fragmentomics
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Currently, there is no international consensus on the standard for endometrial cancer screening. The Expert Committee on Endometrial Cancer Screening in China released the "Expert Consensus on Endometrial Cancer Screening and Early Diagnosis (Draft)" in 2017, recommending the use of endometrial brushes for endometrial sampling and the use of endometrial cytology for slide preparation. Transvaginal ultrasound (TVS) can be used as an initial assessment and auxiliary method for endometrial cytology screening for endometrial cancer. For women without clinical symptoms, the routine method of endometrial cancer screening is mainly TVS to monitor endometrial thickness. Although TVS has high sensitivity, its specificity is very low, with a low positive predictive value (PPV) and a high false-positive rate, making it unable to distinguish between benign and malignant endometrial changes. There are also certain operator subjective judgments and instrument-related errors. For women with clinical symptoms, patients need endometrial cytology testing, that is, invasive endometrial sampling with an endometrial brush, followed by cytological slide preparation. Suspicious malignant tumor cells or malignant tumor cells should immediately undergo hysteroscopy and segmental diagnostic curettage to obtain endometrial biopsy tissue, and further clinical treatment should be carried out based on the pathological results. Due to the need to go deep into the uterus, the sampling failure rate for nulliparous women is as high as 20%, and the sampling failure rate for multiparous women is 8%. Whether it is endometrial cytology or hysteroscopic biopsy, which is close to the invasive operation of abortion, it will bring a lot of pain and economic burden to women. Moreover, there are currently no specific and sensitive tumor markers available for the diagnosis and follow-up of endometrial cancer. Therefore, it is urgent to develop a non-invasive, efficient screening detection method.
In short, the space for early screening of endometrial cancer is vast, and liquid biopsy is non-invasive, convenient and easy to accept. It is an important technical means for early screening research of endometrial cancer, and has great potential to improve the performance of early screening of endometrial cancer. In order to further verify the application value of cfDNA-based fragmentomics in early screening of endometrial cancer and better screen the high-risk population of endometrial cancer in China, this study intends to analyze the characteristics of five cfDNA fragments based on low-depth whole-genome sequencing technology (WGS), and integrate artificial intelligence machine learning technology to establish a prediction model for early screening of endometrial cancer based on cfDNA.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Bingzhong Zhang, MD
- Phone Number: 86 13925063030
- Email: 13925063030@163.com
Study Locations
-
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Guangdong
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Guangzhou, Guangdong, China
- Recruiting
- The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
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Contact:
- Bingzhong Zhang, MD
- Phone Number: 86 13925063030
- Email: 13925063030@163.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age minimum 18 years
- Patients diagnosed with early to mid-stage endometrial cancer (more than 50% are in FIGO stages I/II) through histological and/or cytological examination.
- Ability to understand and the willingness to sign a written informed consent document
- Participants can obtain comprehensive clinical and pathological information.
- Non-cancer controls are sex- and age-matched individuals without presence of any tumors or nodules or any other severe chronic diseases through systematic screening
Exclusion Criteria:
- Participants must not be pregnant or breastfeeding
- Participants must not have prior cancer histories or a second non-endometrial malignancy
- Participants must not have had any form of cancer treatment before enrollment or plasma collection, including surgery, chemotherapy, radiotherapy, targeted therapy and immunotherapy
- Participants must not present medical conditions of fever or have acute or immunological diseases that required treatment 14 days before plasma collection
- Participants who underwent organ transplant or allogenic bone marrow or hematopoietic stem cell transplantation
- Participants with clinically important abnormalities or conditions unsuitable for blood collection
- Any other disease or clinical condition of participants that the researcher believes may affect the compliance of the protocol, or affect the patient's signing of the informed consent form (ICF), which is not suitable to participate in this clinical trial.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Patients with endometrial cancer
the 108 patients with early to mid-stage endometrial cancer, more than 50% were in FIGO stages I/II.
|
the characteristics of five cfDNA fragments based on low-depth whole-genome sequencing technology (WGS)
|
healthy people
108 healthy people
|
the characteristics of five cfDNA fragments based on low-depth whole-genome sequencing technology (WGS)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Area under curve of the model for detecting endometrial cancer
Time Frame: 1 year
|
The area under curve of the model for the ultrasensitive early detection of endometrial cancer would be evaluate
|
1 year
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Bingzhong Zhang, MD, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- SYSKY-2023-848-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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