Trials / Unknown
UnknownNCT05668910
Gastric Cancer Early Detection by Multi-dimensional Analysis of cfDNA
Development and Validation of a Blood-based Assay for Gastric Cancer Early Detection Using Multi-dimensional Analysis of Cell Free DNA Whole Methylome Sequencing-Protocol for an Observational, Case-control Study
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 360 (estimated)
- Sponsor
- GeneCast Biotechnology Co., Ltd. · Industry
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
To facilitate the early gastric cancer diagnosis, an assay based on assessing large-scale methylation and fragmentation profiles of the plasma cell free (cfDNA) will be developed and validated.
Detailed description
Cancer-related features in cell-free DNA (cfDNA) fragments have gradually been identified and play essential roles for non-invasive early cancer detection. Integrated analysis of several cfDNA features have proven to achieve enhanced detection sensitivity as compared to single feature. This study aims to develop and validate a novel blood-based whole methylome sequencing followed with a multi-dimensional model to analyze several features of cfDNA for GC early detection. Specifically, blood samples will be prospectively collected before gastroscopy. Cases and controls will be randomly divided into a training and a testing dataset at a ratio of 2:1. Plasma cfDNA will be isolated and extracted, followed with a bisulfite-free low-depth whole methylome sequencing. A multi-dimensional model named THorough Epigenetic Marker Integration Solution (THEMIS) including methylation, fragmentation, and chromosomal copy number alternation will be constructed in the training dataset. The performance of the model in differentiating cancer patients from non-cancer controls will then be evaluated in the testing dataset.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| GENETIC | whole genomic methylation and fragmentation profile analysis of cfDNA | The assay for gastric cancer early detection will be built based on low-depth methylone sequencing followed with a multi-dimensional model construction with analysing several features such as methylation, fragmentation, and chromosomal copy number alternation. |
Timeline
- Start date
- 2022-09-01
- Primary completion
- 2024-03-31
- Completion
- 2024-03-31
- First posted
- 2022-12-30
- Last updated
- 2022-12-30
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05668910. Inclusion in this directory is not an endorsement.