PLX190333

GSE152246: Gene expression changes following dihydrotestosterone (DHT) treatment in HCI-009 PDXs

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Triple-negative breast cancer (TNBC) is aggressive and difficult, and few targeted therapies are available to treat this patient population. The androgen receptor (AR) has emerged as a potential target in breast cancer. Newer generation AR inhibitors, such as Seviteronel (Sevi), are unique in their ability to inhibit AR both directly and by blocking upstream androgen synthesis. The purpose of this study was to investigate the pre-clinical activity of Sevi in TNBC and further explore the effectiveness of targeting both androgen biosynthesis and AR activity in combination with other downstream acting agents. AR overexpressing (AR+) TNBC cell lines, xenografts and androgen responsive patient-derived xenograft (PDX) models were using to show how effectively Sevi inhibits AR activity and cell/tumor proliferation. Single cell RNA-sequencing of the AR+ cell line MDA-MB-453 illustrated heterogeneity in AR levels and identified cell cycle pathway activation in ARHigh versus ARLow expressing cells. Combination treatment with the cell cycle CDK4/6 inhibitor abemaciclib and Sevi showed synergy in AR+ TNBC cells and increased effectiveness, compared to each drug alone, in an AR+ TNBC xenograft model. While cell cycle inhibitors have been approved for use in hormone-receptor positive breast cancer, our studies suggest that these drugs may be equally effective in AR+ TNBC cells, especially when combined with AR antagonists. Implications. These data suggest that targeting AR signaling at multiple points throughout the pathway may be an effective was to treat patients with AR+ TNBC. SOURCE: Jessica Christenson (jessica.christenson@cuanschutz.edu) - Jennifer Richer University of Colorado Anschutz Medical Campus

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team