Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructs.

ABSTRACT: Cancer arises from a deregulation of both intracellular and intercellular networks that maintain system homeostasis. Identifying the architecture of these networks and how they are changed in cancer is a pre-requisite for designing drugs to restore homeostasis. Since intercellular networks only appear in intact systems, it is difficult to identify how these networks become altered in human cancer using many of the common experimental models. To overcome this, we used the diversity in normal and malignant human tissue samples from the Cancer Genome Atlas (TCGA) database of human breast cancer to identify the topology associated with intercellular networks in vivo. To improve the underlying biological signals, we constructed Bayesian networks using metagene constructs, which represented grou

SUBMITTER: Kaiser JL 

PROVIDER: S-EPMC5289651 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature