Modeling and integration of N-glycan biomarkers in a comprehensive biomarker data model.

ABSTRACT: Molecular biomarkers measure discrete components of biological processes that can contribute to disorders when impaired. Great interest exists in discovering early cancer biomarkers to improve outcomes. Biomarkers represented in a standardized data model, integrated with multi-omics data, may improve the understanding and use of novel biomarkers such as glycans and glycoconjugates. Among altered components in tumorigenesis, N-glycans exhibit substantial biomarker potential, when analyzed with their protein carriers. However, such data are distributed across publications and databases of diverse formats, which hamper their use in research and clinical application. Mass spectrometry measures of 50 N-glycans on 7 serum proteins in liver disease were integrated (as a panel) into a cancer bioma

SUBMITTER: Lyman DF 

PROVIDER: S-EPMC9487899 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature