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Updated: Feb 6, 2026

An Orthotopic Murine Model of Human Prostate Cancer Metastasis
Published on: September 18, 2013
Identification of an oncogenic network with prognostic and therapeutic value in prostate cancer
Fiorella Magani1,2, Eric R Bray3, Maria J Martinez2
1Sheila and David Fuente Graduate Program in Cancer Biology, University of Miami Miller School of Medicine, Miami, FL, USA.
Abstract:
Identifying critical pathways governing disease progression is essential for accurate prognosis and effective therapy. We developed a broadly applicable and novel systems-level gene discovery strategy. This approach focused on constitutively active androgen receptor (AR) splice variant-driven pathways as representative of an intractable mechanism of prostate cancer (PC) therapeutic resistance. We performed a meta-analysis of human prostate samples using weighted gene co-expression network analysis combined with experimental AR variant transcriptome analyses. An AR variant-driven gene module that is upregulated during human PC progression was identified. We filtered this module by identifying genes that functionally interacted with AR variants using a high-throughput synthetic genetic array screen in Schizosaccharomyces pombe This strategy identified seven AR variant-regulated genes that also enhance AR activity and drive cancer progression. Expression of the seven genes predicted poor disease-free survival in large independent PC patient cohorts. Pharmacologic inhibition of interacting members of the gene set potently and synergistically decreased PC cell proliferation. This unbiased and novel gene discovery strategy identified a clinically relevant, oncogenic, interacting gene hub with strong prognostic and therapeutic potential in PC.
Insights
Researchers discovered a novel gene network driving prostate cancer (PC) progression and therapeutic resistance. This finding offers new targets for improving PC prognosis and treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Systems Biology
Background:
- Identifying key pathways is crucial for prostate cancer (PC) prognosis and therapy.
- Therapeutic resistance in PC is often driven by constitutively active androgen receptor (AR) splice variants.
- Novel strategies are needed to uncover genes involved in AR variant-driven resistance.
Purpose of the Study:
- To develop a systems-level gene discovery strategy to identify critical pathways in PC.
- To uncover AR variant-driven genes that contribute to PC progression and therapeutic resistance.
- To identify potential prognostic and therapeutic targets for prostate cancer.
Main Methods:
- Meta-analysis of human prostate samples using weighted gene co-expression network analysis.
- Experimental AR variant transcriptome analyses.
- High-throughput synthetic genetic array screen in *Schizosaccharomyces pombe* to identify functional interactions with AR variants.
Main Results:
- Identified an AR variant-driven gene module upregulated during PC progression.
- Discovered seven AR variant-regulated genes that enhance AR activity and promote cancer progression.
- These seven genes predicted poor disease-free survival in independent PC patient cohorts.
- Pharmacologic inhibition of interacting genes synergistically decreased PC cell proliferation.
Conclusions:
- A novel, unbiased gene discovery strategy identified a clinically relevant gene hub in PC.
- This gene hub is oncogenic, has strong prognostic potential, and offers therapeutic opportunities.
- Targeting this AR variant-regulated gene network may overcome therapeutic resistance in prostate cancer.
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