Perturbations of pathway co-expression network identify a core network in metastatic breast cancer

Area of Science:

• Oncology
• Bioinformatics
• Genomics

Background:

• Metastasis is the primary cause of mortality in advanced breast cancer (BC).
• Current treatments like chemotherapy and hormone therapy face challenges due to frequent and poorly understood drug resistance.
• Understanding the molecular mechanisms of BC metastasis is crucial for improving patient outcomes.

Purpose of the Study:

• To explore the molecular mechanisms underlying breast cancer metastasis using bioinformatics analysis.
• To identify key pathways and genes involved in BC metastasis and drug resistance.
• To construct and analyze a pathway co-expression network for BC metastasis.

Main Methods:

• Downloaded and analyzed microarray gene expression profiles from the Gene Expression Omnibus (GEO) dataset for metastatic and non-metastatic BC patients.
• Normalized and merged gene expression data using the Combat tool.
• Generated a pathway co-expression network and investigated protein-protein interaction networks to identify hub genes.

Main Results:

• Identified 17 pathways and 128 interactions within the pathway co-expression network.
• Determined pathways that significantly influence network efficiency.
• Identified hub genes within the protein interaction network, suggesting their importance in BC metastasis.

Conclusions:

• The developed pathway co-expression network provides a framework for understanding BC metastasis mechanisms.
• The identified pathways and hub genes may offer novel targets for therapeutic strategies against BC metastasis and drug resistance.
• Further validation of the network's prognostic role is supported by survival analysis.