2023-12-18
2026-10-31
2027-03-31
276
NCT06166147
Fudan University
Fudan University
OBSERVATIONAL
A Prospective Study of Liquid Biopsy for Pancreatic Cancer Early Detection
This study is a multi-center, observational study aiming at developing a machine learning-based early detection model using prospectively collected liquid biopsy samples from clinically-annotated individuals.
Peripheral blood samples from participants with new diagnosis of pancreatic cancers will be collected to characterize the cancer-specific circulating signals by sequencing cell free DNA. A noninvasive test integrating machine learning algorithm will be trained and validated through a two-stage approach in recruited well-classified individuals, along with non-cancers without clinical diagnosis of cancer after routine medical screening. The performance of liquid biospy assays discovering cancer from non-cancer will be evaluated in participants with benign disease as well as average risk individuals.
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Registration Dates | Results Reporting Dates | Study Record Updates |
---|---|---|
2023-11-07 | N/A | 2024-09-15 |
2023-12-08 | N/A | 2024-09-19 |
2023-12-12 | N/A | 2024-09 |
This section provides details of the study plan, including how the study is designed and what the study is measuring.
Primary Purpose:
N/A
Allocation:
N/A
Interventional Model:
N/A
Masking:
N/A
Arms and Interventions
Participant Group/Arm | Intervention/Treatment |
---|---|
: Cancer arm Participants with new diagnosis of pancreatic cancer, from whom a peripheral blood sample will be collected. | |
: Benign disease arm Participants with benign pancreatic diseases, from whom a peripheral blood sample will be collected. |
Primary Outcome Measures | Measure Description | Time Frame |
---|---|---|
Performance of cfDNA methylation-based model for discriminating pancreatic cancer versus non-cancer | Sensitivities of cfDNA methylation-based model at specificity of 99% and 95%, respectively. | 12 months |
Secondary Outcome Measures | Measure Description | Time Frame |
---|---|---|
Performance of models using multi-omic data for discriminating pancreatic cancer versus non-cancer | Sensitivities of model integrating multi-omics data at specificity of 99% and 95%,respectively. | 12 months |
Performance of pre-defined model in clinical sub-groups of interest | Sensitivity of pre-defined model in different pathological subtypes or different age groups or tumor marker-negative cases. | 12 months |
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact Name: Xian-Jun Yu, M.D., Ph.D. Phone Number: +86 21 64175590 Email: yuxianjun@fudanpci.org |
Study Contact Backup Name: Si Shi, M.D., Ph.D. Phone Number: +86 21 64175590 Email: |
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.
Ages Eligible for Study:
ALL
Sexes Eligible for Study:
40 Years
Accepts Healthy Volunteers:
This is where you will find people and organizations involved with this study.
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
No publications available