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Updated: Jul 17, 2026
Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Genomic profiling of hormone-naïve lymph node metastases in patients with prostate cancer
Pamela L Paris1, Matthias D Hofer, Giancarlo Albo
1Department of Urology, University of California at San Francisco Comprehensive Cancer Center, San Francisco, CA 94115, USA.
Abstract:
The progression of organ-confined prostate cancer to metastatic cancer is inevitably fatal. Consequently, identification of structural changes in the genome and associated transcriptional responses that drive this progression is critical to understanding the disease process and the development of biomarkers and therapeutic targets. In this study, whole genome copy number changes in genomes of hormone-naïve lymph node metastases were profiled using array comparative genomic hybridization, and matched primaries were included for a subset. Matched primaries and lymph node metastases showed very similar copy number profiles that are distinct from primary tumors that fail to metastasize.
Insights
Genomic copy number profiles of prostate cancer lymph node metastases closely matched their primary tumors. These profiles differed significantly from non-metastatic primary tumors, offering insights into cancer progression.
Area of Science:
- Genomic analysis
- Cancer biology
- Prostate cancer research
Background:
- Prostate cancer progression to metastasis is a fatal outcome.
- Understanding genomic alterations driving metastasis is crucial for biomarker and therapeutic target development.
Purpose of the Study:
- To identify structural genomic changes and transcriptional responses associated with prostate cancer metastasis.
- To compare genomic profiles of primary tumors and lymph node metastases.
Main Methods:
- Whole genome copy number changes were profiled using array comparative genomic hybridization (aCGH).
- Hormone-naïve lymph node metastases and matched primary tumors were analyzed.
Main Results:
- Lymph node metastases exhibited highly similar copy number profiles to their matched primary tumors.
- Metastatic tumor profiles were distinct from primary tumors that did not metastasize.
Conclusions:
- Genomic profiles are conserved between primary prostate tumors and their lymph node metastases.
- Distinct genomic alterations may characterize the metastatic potential of prostate cancer.