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Updated: Jun 24, 2026

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Genomic strategy for targeting therapy in castration-resistant prostate cancer
Prateek Mendiratta1, Elahe Mostaghel, Justin Guinney
1The Duke Institute for Genome Sciences & Policy, Duke Comprehensive Cancer Center, Duke University, Durham, NC 27710, USA.
Purpose:
Despite treatments which lower circulating androgens, advanced prostate cancers often maintain androgen receptor (AR) signaling. The variable response to secondary hormonal manipulations in men with castrate-resistant prostate cancer (CRPC) creates a compelling need for strategies to individualize therapy based on the molecular features of each patient's tumor.
Methods:
A transcription-based AR activity signature was developed from an androgen-sensitive prostate cancer cell (LNCaP) and tested on independent data sets of prostate cancer cell lines and human tumors to assess its precision and accuracy in detecting AR activity. The AR signature was applied to multiple sets of prostate specimens to determine how AR activity changes with hormone therapy and progression and oncogenic pathway analysis was used to identify biologic pathways correlating with AR activity.
Results:
A robust AR signature accurately predicts AR activity in multiple prostate cancer cell lines, has minimal variation between replicate samples, and accurately reflects an individual's hormone status and intraprostatic dihydrotestosterone levels. The AR signature finds AR activity to be high in local, untreated prostate tumors and decreased in prostate tissue after neoadjuvant hormone therapy and in CRPC. Heterogeneity of AR activity exists along the spectrum of prostate cancer progression and decreasing predicted AR activity correlates with increasing predicted Src activity and sensitivity to dasatinib (Src-targeting kinase inhibitor).
Conclusion:
A transcription-based AR signature can detect AR activity within individual prostate cancer specimens and has the potential to help individualize and improve care for patients with CRPC.
Insights
A new androgen receptor (AR) activity signature accurately detects AR signaling in prostate cancer. This tool may help personalize treatment for advanced prostate cancer patients, including those with castrate-resistant prostate cancer (CRPC).
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Advanced prostate cancer often retains androgen receptor (AR) signaling despite treatment.
- Variable responses to hormonal therapies in castrate-resistant prostate cancer (CRPC) necessitate personalized treatment strategies.
Purpose of the Study:
- To develop and validate a transcription-based AR activity signature for assessing AR signaling in prostate cancer.
- To evaluate the signature's ability to predict AR activity in various prostate cancer contexts and correlate it with other oncogenic pathways.
Main Methods:
- Developed a transcription-based AR activity signature using LNCaP prostate cancer cells.
- Tested the signature on independent cell line and human tumor datasets.
- Analyzed AR activity changes during hormone therapy and cancer progression, correlating with oncogenic pathway activity.
Main Results:
- The AR signature accurately predicts AR activity across cell lines and human tumors, reflecting hormone status.
- AR activity is high in untreated tumors, decreases after hormone therapy and in CRPC.
- Decreasing AR activity correlates with increasing Src activity and sensitivity to dasatinib.
Conclusions:
- A transcription-based AR signature reliably detects AR activity in individual prostate cancer specimens.
- This signature holds potential for improving personalized treatment strategies for CRPC patients.
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