A quest to identify prostate cancer circulating biomarkers with a bench‐to‐bedside potential

JS Batra, S Girdhani, L Hlatky - Journal of biomarkers, 2014 - Wiley Online Library
JS Batra, S Girdhani, L Hlatky
Journal of biomarkers, 2014Wiley Online Library
Prostate cancer (PCA) is a major health concern in current times. Ever since prostate
specific antigen (PSA) was introduced in clinical practice almost three decades ago, the
diagnosis and management of PCA have been revolutionized. With time, concerns arose as
to the inherent shortcomings of this biomarker and alternatives were actively sought. Over
the past decade new PCA biomarkers have been identified in tissue, blood, urine, and other
body fluids that offer improved specificity and supplement our knowledge of disease …
Prostate cancer (PCA) is a major health concern in current times. Ever since prostate specific antigen (PSA) was introduced in clinical practice almost three decades ago, the diagnosis and management of PCA have been revolutionized. With time, concerns arose as to the inherent shortcomings of this biomarker and alternatives were actively sought. Over the past decade new PCA biomarkers have been identified in tissue, blood, urine, and other body fluids that offer improved specificity and supplement our knowledge of disease progression. This review focuses on superiority of circulating biomarkers over tissue biomarkers due to the advantages of being more readily accessible, minimally invasive (blood) or noninvasive (urine), accessible for sampling on regular intervals, and easily utilized for follow‐up after surgery or other treatment modalities. Some of the circulating biomarkers like PCA3, IL‐6, and TMPRSS2‐ERG are now detectable by commercially available kits while others like microRNAs (miR‐21, ‐221, ‐141) and exosomes hold potential to become available as multiplexed assays. In this paper, we will review some of these potential candidate circulating biomarkers that either individually or in combination, once validated with large‐scale trials, may eventually get utilized clinically for improved diagnosis, risk stratification, and treatment.
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