Functional impact of multi-omic interactions in breast cancer subtypes.

ABSTRACT: Multi-omic approaches are expected to deliver a broader molecular view of cancer. However, the promised mechanistic explanations have not quite settled yet. Here, we propose a theoretical and computational analysis framework to semi-automatically produce network models of the regulatory constraints influencing a biological function. This way, we identified functions significantly enriched on the analyzed omics and described associated features, for each of the four breast cancer molecular subtypes. For instance, we identified functions sustaining over-representation of invasion-related processes in the basal subtype and DNA modification processes in the normal tissue. We found limited overlap on the omics-associated functions between subtypes; however, a startling feature intersection with

SUBMITTER: Ochoa S 

PROVIDER: S-EPMC9850112 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature