Multi-omics Analyses on Etiology and Early Detection of Stomach Cancer Precursor Lesions

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.

Sex

All

Minimum age

46 Years

Maximum age

97 Years

1. Inclusion Criteria:

   * participants from the Screening Across the Lifespan (SALT) study within Swedish Twin Registry (STR) who responded to a questionnaire on common diseases and provide a blood sample;
   * both twins in the pair had to be alive and living in Sweden;
   * had been enrolled in other STR DNA sampling projects;
2. Exclusion Criteria:

   * previously declined participation in future studies;
   * whose blood samples were unavailable or didn't pass initial lab-based QC;
   * whose samples were unable to link to the available environmental data.