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Dataset Information

Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease.


ABSTRACT:

Background

Peripheral biomarkers are increasingly vital non-invasive methods for monitoring coronary artery disease (CAD) progression. Their superiority in early detection, prognosis evaluation and classified diagnosis is becoming irreplaceable. Nevertheless, they are still less explored. This study aimed to determine and validate the diagnostic and therapeutic values of differentially expressed immune-related genes (DE-IRGs) in CAD.

Methods

We downloaded clinical information and RNA sequence data from the GEO database. We used R software, GO, KEGG and Cytoscape to analyze and visualize the data. A LASSO method was conducted to identify key genes for diagnostic model construction. The ssGSEA analysis was used to investigate the differential immune cell infiltration. Besides,

SUBMITTER: Feng X 

PROVIDER: S-EPMC9444127 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature