Triple negative breast cancer: a multi-omics network discovery strategy for candidate targets and driving pathways

Area of Science:

• Oncology
• Genomics
• Bioinformatics

Background:

• Triple negative breast cancer (TNBC) accounts for 15% of breast cancers and is defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and HER2.
• TNBC is notably aggressive, characterized by larger tumor size, rapid proliferation, and increased metastasis.
• A significant challenge in TNBC treatment is the lack of effective molecular targets.

Purpose of the Study:

• To identify novel transcriptional regulatory mechanisms driving TNBC.
• To discover potential molecular targets and biomarkers for TNBC diagnosis and treatment.
• To leverage an integrative multi-omics approach for understanding TNBC complexity.

Main Methods:

• Employed a systematic and integrative transcriptomics and interactomics approach.
• Utilized transcriptional regulatory and protein-protein interaction networks.
• Analyzed multi-omics data to identify key molecular pathways.

Main Results:

• Identified TNBC-specific molecular pathways, including Janus kinase-signal transducers, and activators of transcription (JAK-STAT) signaling.
• Identified the tumor necrosis factor (TNF) signaling pathway as relevant to TNBC.
• Discovered potential molecular targets and biomarkers through network analysis.

Conclusions:

• The integrative multi-omics approach provides insights into TNBC's transcriptional control.
• Identified pathways like JAK-STAT and TNF signaling are crucial in TNBC.
• This research offers a foundation for developing novel diagnostics and personalized therapeutics for TNBC.