Batra Jaspreet Singh, Girdhani Swati, Hlatky Lynn
Center of Cancer Systems Biology, GeneSys Research Institute, Tufts University, School of Medicine, 736 Cambridge Street, SEMC-CBR112, Boston, MA 02135, USA.
J Biomark. 2014;2014:321680. doi: 10.1155/2014/321680. Epub 2014 Mar 12.
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.
前列腺癌(PCA)是当今主要的健康问题。自从大约三十年前前列腺特异性抗原(PSA)被引入临床实践以来,PCA的诊断和管理发生了革命性变化。随着时间的推移,人们开始关注这种生物标志物的固有缺点,并积极寻找替代物。在过去十年中,已在组织、血液、尿液和其他体液中鉴定出新的PCA生物标志物,这些标志物具有更高的特异性,并补充了我们对疾病进展的认识。本综述重点关注循环生物标志物相对于组织生物标志物的优势,因为循环生物标志物更容易获取、微创(血液)或无创(尿液)、可定期采样,并且在手术后或其他治疗方式后易于用于随访。一些循环生物标志物,如PCA3、IL-6和TMPRSS2-ERG,现在可以通过市售试剂盒检测到,而其他一些,如微小RNA(miR-21、-221、-141)和外泌体,有可能作为多重检测方法应用。在本文中,我们将综述一些潜在的候选循环生物标志物,这些标志物单独或联合使用,一旦经过大规模试验验证,最终可能会在临床上用于改善诊断、风险分层和治疗。