Ontology highlight
ABSTRACT: Background
The most effective way to reduce cancer burden is Q2 prevention which is dependent on identifying individuals at risk for a particular cancer and counseling them to avoid exposure to causative agents. Other than a few well characterized environmental agents linked to specific cancers, linkage between any particular environmental exposure and a specific type of cancer is mostly unknown. Thus, we propose a systems approach to analyze publicly available large datasets to identify candidate agents that play a role in organ-specific carcinogenesis.Methods
Publicly available datasets for mRNA and miRNA expression in ovarian cancer were queried to define the differentially expressed genes that are also targets of differentially expressed miRNAs. These target genes were
SUBMITTER: States JC
PROVIDER: S-EPMC4035223 | biostudies-literature | 2014 Jun
REPOSITORIES: biostudies-literature