A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer.

ABSTRACT:

Background

Prioritizing candidate drugs based on genome-wide expression data is an emerging approach in systems pharmacology due to its holistic perspective for preclinical drug evaluation. In the current study, a network-based approach was proposed and applied to prioritize plant polyphenols and identify potential drug combinations in breast cancer. We focused on MEK5/ERK5 signalling pathway genes, a recently identified potential drug target in cancer with roles spanning major carcinogenesis processes.

Results

By constructing and identifying perturbed protein-protein interaction networks for luminal A breast cancer, plant polyphenols and drugs from transcriptome data, we first demonstrated their systemic effects on the MEK5/ERK5 signalling pathway. Subsequently, we applied

SUBMITTER: Odongo R 

PROVIDER: S-EPMC10880212 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature