Identifying shared transcriptional risk patterns between atherosclerosis and cancer.

ABSTRACT: Cancer and cardiovascular disease (CVD) are the leading causes of death worldwide. Numerous overlapping pathophysiologic mechanisms have been hypothesized to drive the development of both diseases. Further investigation of these common pathways could allow for the identification of mutually detrimental processes and therapeutic targeting to derive mutual benefit. In this study, we intersect transcriptomic datasets correlated with disease severity or patient outcomes for both cancer and atherosclerotic CVD. These analyses confirmed numerous pathways known to underlie both diseases, such as inflammation and hypoxia, but also identified several novel shared pathways. We used these to explore common translational targets by applying the drug prediction software, OCTAD, to identify compounds th

SUBMITTER: Baylis RA 

PROVIDER: S-EPMC10448075 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature