Key genes for modulating information flow play a temporal role as breast tumor coexpression networks are dynamically

Nadia M Penrod1, Jason H Moore

  • 1Department of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth College, HB7937 One Medical Center Dr., Lebanon, NH 03766, USA.

Abstract

Insights

Breast tumor gene networks dynamically rewire in response to letrozole treatment. Key regulatory genes shift positions, indicating adaptation to drug perturbation at the molecular level.

Area of Science:

  • Genomics
  • Systems Biology
  • Cancer Research

Background:

  • Genes function within complex regulatory networks, not in isolation.
  • Understanding molecular adaptation of breast tumors to letrozole requires analyzing gene expression changes within these networks.

Purpose of the Study:

  • To investigate the dynamic changes in gene coexpression networks in breast tumors during letrozole treatment.
  • To identify key genes that maintain network integrity and control information flow under drug pressure.

Main Methods:

  • Transcriptomic data from sequential tumor biopsies (diagnosis, 10-14 days, 90 days of letrozole treatment).
  • Construction of temporal gene coexpression networks using pairwise partial correlation.
  • Network structure characterization and identification of influential genes.

Main Results:

  • Letrozole treatment caused significant rewiring of the breast tumor coexpression network.
  • Only 20% of gene-gene relationships remained conserved during treatment; 80% were condition-dependent.
  • Genes with high centrality, crucial for network integrity, showed transient influence, rarely maintaining high scores across all time points.

Conclusions:

  • Genes critical for network integrity and information flow dynamically change as breast tumors adapt to letrozole.
  • The gene coexpression network exhibits substantial plasticity in response to letrozole perturbation.

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