Early Detection of Gastric Cancer Using Plasma Cell-free DNA Fragmentomics
NCT05269056 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2022-06-02
Summary
The purpose of this study is to enable non-invasive early detection of gastric 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 gastric cancer patients and healthy individuals will be subjected to whole-genome sequencing. Features, such as cell-free DNA fragmentation, copy number variations and microbiome, will be assessed to generate this model.
Conditions
- Early Gastric Cancer
Sponsors & Collaborators
-
Nanjing Geneseeq Technology Inc.
collaborator INDUSTRY -
Zhejiang Cancer Hospital
lead OTHER
Principal Investigators
-
Xiangdong Cheng, MD, PhD · Zhejiang Cancer Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-09-01
- Primary Completion
- 2022-11-01
- Completion
- 2023-05-31
Countries
- China
Study Locations
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