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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Sequencing the transcriptional network of androgen receptor in prostate cancer
1Cancer Biology and Pharmacology, Genome Institute of Singapore, A(*)STAR (Agency for Science, Technology and Research), Singapore 138672, Singapore; Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117573, Singapore.
Abstract:
The progression of prostate cancer is largely dependent on the activity of the androgen receptor (AR), which in turn, correlates with the net output of the AR transcriptional regulatory network. A detailed and thorough understanding of the AR transcriptional regulatory network is therefore critical in the strategic manipulation of AR activity for the targeted eradication of prostate cancer cells. In this mini-review, we highlight some of the novel and unexpected mechanistic and functional insights of the AR transcriptional network derived from recent targeted sequencing (ChIP-Seq) studies of AR and its coregulatory factors in prostate cancer cells.
Insights
Understanding the androgen receptor (AR) network is key to treating prostate cancer. Recent ChIP-Seq studies reveal novel insights into the AR transcriptional network, aiding in targeted cancer cell eradication.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Prostate cancer progression is driven by androgen receptor (AR) activity.
- AR activity is linked to the AR transcriptional regulatory network's output.
- Targeting AR is a critical strategy for prostate cancer treatment.
Purpose of the Study:
- To review novel mechanistic and functional insights of the AR transcriptional network.
- To highlight findings from recent ChIP-Seq studies in prostate cancer cells.
- To underscore the importance of understanding the AR network for cancer therapy.
Main Methods:
- Review of recent targeted sequencing studies, specifically ChIP-Seq.
- Analysis of AR and its coregulatory factors in prostate cancer cells.
- Integration of mechanistic and functional data from ChIP-Seq studies.
Main Results:
- Identification of novel and unexpected insights into the AR transcriptional network.
- Elucidation of AR and coregulatory factor interactions.
- Characterization of network dynamics in prostate cancer cells.
Conclusions:
- A comprehensive understanding of the AR transcriptional network is crucial for effective prostate cancer treatment.
- Recent ChIP-Seq studies provide valuable mechanistic and functional insights.
- Targeted manipulation of the AR network holds promise for eradicating prostate cancer cells.
