Mapping the FOXA1 Interactome in ER+ Breast Cancer Cells Using Proximity Labeling Reveals Novel Interactions with the

Rosemary N Plagens1, Carla S Rodriquez Tirado2, Shen Li1

  • 1Lineberger Comprehensive Cancer Center, Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

PubMed

Insights

Researchers mapped proteins interacting with FOXA1, a key factor in hormone-driven cancers. They discovered new FOXA1 partners, some linked to poor survival in breast cancer patients, offering potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • FOXA1 is crucial for gene regulation in hormone-driven cancers, particularly breast cancer.
  • Its role in estrogen receptor-positive (ER+) breast cancer involves nuclear receptor binding and therapy resistance.
  • The full network of FOXA1 protein interactions is not well understood.

Purpose of the Study:

  • To systematically map FOXA1-interacting proteins in ER+ breast cancer cells.
  • To identify novel FOXA1 partners and understand their clinical relevance.
  • To investigate the functional interaction between FOXA1 and NR2C2.

Main Methods:

  • Proximity-dependent biotinylation (miniTurbo) coupled with quantitative LC-MS/MS proteomics.
  • Engineering MCF-7 cell lines with N- or C-terminus miniTurbo-tagged FOXA1.
  • ChIP-seq and RNA-seq for functional characterization of FOXA1-NR2C2 interaction.

Main Results:

  • Successfully identified known FOXA1 partners and 157 novel interactors.
  • Discovered that 42 new interactors, including NR2C2, correlate with poor relapse-free survival in ER+ breast cancer.
  • Demonstrated co-occupancy of FOXA1 and NR2C2 at genomic regions, driving tumor progression-related transcription.

Conclusions:

  • The study presents an expanded FOXA1 interactome in breast cancer.
  • Identified novel candidate proteins, such as NR2C2, as potential biomarkers and therapeutic targets.
  • Provides new insights into FOXA1's functional network in hormone-driven cancers.