Identification of significantly mutated subnetworks in the breast cancer genome.

ABSTRACT: Recent studies showed that somatic cancer mutations target genes that are in specific signaling and cellular pathways. However, in each patient only a few of the pathway genes are mutated. Current approaches consider only existing pathways and ignore the topology of the pathways. For this reason, new efforts have been focused on identifying significantly mutated subnetworks and associating them with cancer characteristics. We applied two well-established network analysis approaches to identify significantly mutated subnetworks in the breast cancer genome. We took network topology into account for measuring the mutation similarity of a gene-pair to allow us to infer the significantly mutated subnetworks. Our goals are to evaluate whether the identified subnetworks can be used as biomarkers

SUBMITTER: Ajwad R 

PROVIDER: S-EPMC7804148 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature