Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy

Thomas M Campbell1, Mauro A A Castro2, Bruce A J Ponder1

  • 1Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, United Kingdom.

Plos One
|December 21, 2016
PubMed

Insights

Researchers identified key gene modulators for breast cancer risk. These modulators target transcription factors (TFs) involved in estrogen receptor-positive (ER+) breast cancer, offering potential new therapeutic avenues.

Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Transcription factors (TFs) are critical drivers of breast cancer risk and progression.
  • Understanding the regulatory networks of these TFs is essential for developing targeted therapies.

Purpose of the Study:

  • To identify upstream modulators of key transcription factors (TFs) involved in estrogen receptor-positive (ER+) breast cancer.
  • To uncover novel genes that regulate TF activity in breast cancer development.

Main Methods:

  • Application of the Modulator Inference by Network Dynamics (MINDy) algorithm for computational analysis.
  • Assay of 189 potential modulators identified through computational predictions.
  • Functional characterization of candidate genes to confirm their role as TF modulators.

Main Results:

  • Over 500 potential TF modulators were computationally identified.
  • Experimental validation confirmed 55 genes possessing functional characteristics of TF modulators.
  • Identified modulators are associated with key TFs (ESR1, FOXA1, GATA3, SPDEF) in ER+ breast cancer.

Conclusions:

  • The study successfully identified novel gene modulators of critical transcription factors in breast cancer.
  • These identified modulators represent potential therapeutic targets for altering TF activity in ER+ breast cancer.
  • Further research into these modulators may lead to new strategies for breast cancer treatment.

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