Increased entropy of signal transduction in the cancer metastasis phenotype.

ABSTRACT:

Background

The statistical study of biological networks has led to important novel biological insights, such as the presence of hubs and hierarchical modularity. There is also a growing interest in studying the statistical properties of networks in the context of cancer genomics. However, relatively little is known as to what network features differ between the cancer and normal cell physiologies, or between different cancer cell phenotypes.

Results

Based on the observation that frequent genomic alterations underlie a more aggressive cancer phenotype, we asked if such an effect could be detectable as an increase in the randomness of local gene expression patterns. Using a breast cancer gene expression data set and a model network of protein interactions we derive constrained

SUBMITTER: Teschendorff AE 

PROVIDER: S-EPMC2925356 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature