Identification of the molecular subgroups in coronary artery disease by gene expression profiles

• DOI: 10.1002/jcp.28324
• Publication Date: 2019-02-26T06:59:44Z
• Authors: Xiao‐Yan Peng; Yong Wang; Haibo Hu; Xian‐Jin Zhang; Qi Li
• Keywords: Subgroup analysis

Coronary artery disease (CAD) is the most common type of cardiovascular and becomes a leading cause death worldwide. Aiming to uncover underlying molecular features for different types CAD, we classified 352 CAD cases into three subgroups based on gene expression profiles, which were retrieved from Gene Expression Omnibus database. Also, these present patterns clinical characteristics. To transcriptomic differences between subgroups, weighted co-expression analysis (WGCNA) was used identified six subgroup-specific WGCNA modules. Characterization WCGNA modules revealed that lipid metabolism pathways, specifically upregulated in subgroup I, might be an indicator increased severity. Moreover, II considered as early-stage because normal-like patterns. In contrast, mammalian target rapamycin signaling pathway significantly III. Although III did not have significant prognostic difference, their intrinsic biological characteristics highly different, suggesting transcriptome classification may represent risk factors both age conclusion, unique patterns, indicating patients each should receive more personalized treatment.