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Multi-omics Analyses on Etiology and Early Detection of Stomach Cancer Precursor Lesions
Sponsor: Karolinska Institutet
Summary
The overall aim is to utilize multi-omics approach to identify novel etiopathogenesis and early detection biomarkers for stomach cancer precursor lesions. To achieve this aim, first the investigators will use stored serum samples to perform metabolomics profiling among 12,599 twin subjects, among whom 1034 were deemed to have chronic atrophic gastritis based on measured pepsinogen I and II levels. Logistic regression will be used to search for metabolites related to the risk of chronic atrophic gastritis. Second, the investigators will further measure serum proteome by using two quantitatively precise proteomics assays, among the above-mentioned twin subjects. Identified protein biomarkers will be combined with metabolomics biomarkers to create a prediction model for chronic atrophic gastritis. The results will hopefully improve our understanding of the etiological factors and provide promising early detection biomarkers for stomach cancer precursor lesions.
Official title: Multi-omics Approach for Identification of Etiopathogenesis and Early Detection Biomarkers of Stomach Cancer Precursor Lesions
Key Details
Gender
All
Age Range
46 Years - 97 Years
Study Type
OBSERVATIONAL
Enrollment
12599
Start Date
2024-01-01
Completion Date
2026-12-31
Last Updated
2024-02-21
Healthy Volunteers
No
Conditions
Interventions
Metabolomic profiling
Metabolomic profiling using serum samples was performed based on Nightingale Blood Biomarker Analysis platform; Proteomic profiling will be performed by both Scanning SWATH and OLINK® Explore 384 Oncology panel.
Locations (1)
Karolinska Institutet
Solna, Stockholm County, Sweden