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Updated: Jun 28, 2026

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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
A multiple-loop, double-cube microarray design applied to prostate cancer cell lines with variable sensitivity to
Madeleine S Q Kortenhorst1, Marianna Zahurak, Shabana Shabbeer
1Prostate Cancer Program, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD 21231, USA.
Summary
This study used a novel microarray design to identify gene expression changes related to histone deacetylase inhibitor resistance in prostate cancer cells. The findings reveal key genes involved in cell cycle and apoptosis that may drive drug resistance.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Histone deacetylase inhibitors (HDACIs) are a promising class of drugs for cancer treatment.
- Understanding mechanisms of HDACI resistance is crucial for improving therapeutic efficacy.
- Microarray technology offers a powerful tool for analyzing gene expression patterns.
Purpose of the Study:
- To investigate the gene expression profiles associated with HDACI resistance in prostate cancer cells.
- To evaluate a novel "multiple-loop, double-cube" cDNA microarray experimental design for complex biological studies.
- To identify potential therapeutic targets and resistance mechanisms.
Main Methods:
- A "multiple-loop, double-cube" cDNA microarray experiment was conducted using DU145 and PC3 prostate cancer cell lines.
- Cells were treated with two HDACIs (vorinostat, valproic acid) for two durations (48, 96 hours).
- Data preprocessing involved Loess normalization, and statistical inference was performed using an ANOVA model. Western blot analysis validated key findings.
Main Results:
- HDACI treatment induced significant differential gene expression (2.8%–10%, P<0.001) in prostate cancer cells.
- Gene expression changes varied by cell line, HDACI type, and treatment duration.
- Identified genes implicated in cell cycle regulation and apoptosis, offering insights into resistance mechanisms.
Conclusions:
- The "multiple-loop, double-cube" microarray design is effective for identifying HDACI-induced gene expression changes.
- This approach can reveal molecular mechanisms underlying drug resistance in cancer.
- Findings contribute to the development of strategies to overcome HDACI resistance.

