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Updated: Jun 17, 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
Special Issue "Cancer Biomarker: Current Status and Future Perspectives"
1Experimental Pharmacology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy.
International Journal of Molecular Sciences
|March 13, 2025
Summary
Omics technologies rapidly identify diverse biomarkers, including DNA, RNA, microRNAs, long non-coding RNAs, proteins, and metabolites. These advancements aid in understanding complex biological alterations for various applications.
Area of Science:
- Biomarker Discovery
- Molecular Biology
- Omics Technologies
Background:
- Recent advancements in omics technologies have accelerated biomarker identification.
- Diverse molecular data types are utilized, including DNA, RNA, microRNAs (miRNAs), and long non-coding RNAs.
- Proteomic, metabolic, and lipidomic alterations are also key areas of investigation.
Discussion:
- Omics technologies provide a comprehensive view of biological systems.
- The integration of multi-omics data enhances biomarker discovery and validation.
- Understanding these molecular signatures is crucial for disease diagnosis and prognosis.
Key Insights:
- DNA, RNA, miRNA, lncRNA, protein, and metabolite alterations serve as valuable biomarkers.
- High-throughput omics platforms enable large-scale biomarker profiling.
- These biomarkers have potential applications in precision medicine and diagnostics.
Outlook:
- Future research will focus on integrating multi-omics data for more robust biomarker panels.
- Clinical translation of omics-based biomarkers is expected to increase.
- Continued technological innovation will further expand the scope of biomarker discovery.

