Signaling Complexity Measured by Shannon Entropy and Its Application in Personalized Medicine.

ABSTRACT: Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, molecular profiles differ between patients, and most tumors exhibit inherent heterogeneity. Hence, imprecise targeting commonly results in side effects, reduced efficacy, and drug resistance. By contrast, personalized medicine aims to establish a molecular diagnosis specific to each patient, which is currently feasible due to the progress achieved with high-throughput technologies. In this report, we explored data from human RNA-seq and protein-protein interaction (PPI) networks using bioinformatics to investigate the relationship between tumor entropy and aggressiveness. To compare PPI subnetworks of different sizes, we calculated the Shannon entropy associated with vertex co

SUBMITTER: Conforte AJ 

PROVIDER: S-EPMC6816034 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature