Transcriptomic Heterogeneity in Cancer as a Consequence of Dysregulation of the Gene-Gene Interaction Network

Area of Science:

• Oncology
• Systems Biology
• Bioinformatics

Background:

• Cancer is characterized by dysregulated cellular pathways.
• Pathway dysregulation leads to reduced control over transcript levels.
• Transcriptomic heterogeneity in cancer correlates with pathway dysregulation.

Purpose of the Study:

• To identify and characterize mechanisms of transcriptomic heterogeneity increase in cancer.
• To link specific molecular events to increased pathway dysregulation.
• To validate these mechanisms using cancer genomics data.

Main Methods:

• Statistical modeling to identify heterogeneity-driving scenarios.
• In silico exploration of identified mechanisms.
• Analysis of oncogenomics data from breast cancer studies.

Main Results:

• Four primary scenarios for increased transcriptomic heterogeneity were identified: activation of molecular switches, structural regulator changes, temporal regulator changes, and weakened gene-gene interactions.
• These mechanisms provide a framework for understanding pathway dysregulation in cancer.
• The proposed mechanisms were found to be plausible in vivo using breast cancer data.

Conclusions:

• Transcriptomic heterogeneity in cancer arises from specific, identifiable pathway dysregulation mechanisms.
• Understanding these mechanisms can offer insights into cancer development and progression.
• The study provides a computational and data-driven approach to investigate cancer biology.