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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

An Update on Biochemical and Genomic Markers for Prostate Cancer.

Reza Falahatkar¹, Gholamreza Mokhtari², Madjid Momeni-Moghaddam³

¹Student Research Committee, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran. rfalahatkar76@gmail.com.

Urology Journal

|November 13, 2021

Summary

New prostate cancer biomarkers improve detection and risk assessment, aiding treatment decisions and reducing unnecessary biopsies. Further studies are needed for wider clinical adoption of these advanced diagnostic tools.

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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

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Area of Science:

Urology
Oncology
Biomarker Discovery

Background:

Prostate cancer diagnosis and management present challenges, particularly concerning prostate cancer-specific antigens.
Accurate prediction of therapeutic response, survival, and recurrence is crucial for patient care.

Purpose of the Study:

To review current and emerging biomarkers for prostate cancer detection and prognosis.
To assess the impact of new biomarkers on clinical decision-making.

Main Methods:

A comprehensive literature review was conducted using major scientific databases (PubMed, Embase, Web of Science, Cochrane).
Two independent investigators systematically searched for studies on prostate cancer biomarkers.

Main Results:

Combining prostate cancer biomarkers into single tests is a growing area, enhanced by genomic and molecular tools.
Tests like Prostate Health Index (PHI), SelectMDx, and Confirm MDx show promise in detection, risk stratification, and biopsy avoidance.

Conclusions:

Despite advancements, clinical application of prostate cancer biomarkers remains limited.
These biomarkers are vital for risk assessment, preventing unnecessary biopsies, and predicting patient outcomes.
Further research is required to fully integrate these biomarkers into routine practice.