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Dataset Information

In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition.


ABSTRACT:

Background

Despite great development in genome and proteome high-throughput methods, treatment failure is a critical point in the management of most solid cancers, including breast cancer (BC). Multiple alternative mechanisms upon drug treatment are involved to offset therapeutic effects, eventually causing drug resistance or treatment failure.

Methods

Here, we optimized a computational method to discover novel drug target pathways in cancer subtypes using pathway cross-talk inhibition (PCI). The in silico method is based on the detection and quantification of the pathway cross-talk for distinct cancer subtypes. From a BC data set of The Cancer Genome Atlas, we have identified different networks of cross-talking pathways for different BC subtypes, validated using an independ

SUBMITTER: Cava C 

PROVIDER: S-EPMC5989433 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature