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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Integrative genomic profiling of human prostate cancer
Barry S Taylor1, Nikolaus Schultz, Haley Hieronymus
1Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Cancer Cell
|June 29, 2010
Summary
Prostate cancer genome analysis identified NCOA2 as an oncogene in 11% of tumors. DNA copy-number alterations also revealed distinct low- and high-risk disease clusters, improving upon Gleason score.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Prostate cancer genome annotation is crucial for understanding and treating the disease.
- Previous studies have focused on specific genetic alterations, but a comprehensive analysis integrating multiple genomic data types is needed.
Purpose of the Study:
- To comprehensively annotate the genomes of prostate cancer tumors.
- To identify novel oncogenes and tumor suppressors in prostate cancer.
- To explore the relationship between genomic alterations and clinical outcomes.
Main Methods:
- Concordant assessment of DNA copy number, mRNA expression, and exon resequencing in 218 prostate cancer tumors.
- Analysis of DNA copy-number data to identify genomic alterations.
- Correlation of genomic findings with clinical outcome data.
Main Results:
- The nuclear receptor coactivator NCOA2 was identified as an oncogene in approximately 11% of prostate tumors.
- The TMPRSS2-ERG fusion was associated with a novel deletion at chromosome 3p14, implicating FOXP1, RYBP, and SHQ1 as potential tumor suppressors.
- DNA copy-number alterations robustly defined low- and high-risk disease clusters, outperforming Gleason score for risk stratification.
Conclusions:
- NCOA2 is a potential therapeutic target in a subset of prostate cancers.
- FOXP1, RYBP, and SHQ1 may function as cooperative tumor suppressors in prostate cancer.
- Genomic copy-number alterations provide a powerful tool for refining prostate cancer risk assessment beyond traditional methods.
