医学
前列腺切除术
前列腺癌
疾病
肿瘤科
癌症
破译
内科学
生物标志物
生化复发
危险分层
生物信息学
前列腺
液体活检
生物标志物发现
癌症研究
生物
作者
Marco Moschini,Martin Spahn,Agostino Mattei,John C. Cheville,Robert Jeffrey Karnes
出处
期刊:BMC Medicine
[BioMed Central]
日期:2016-04-04
卷期号:14 (1): 67-67
被引量:59
标识
DOI:10.1186/s12916-016-0613-7
摘要
Localized prostate cancer (PCa) is a clinically heterogeneous disease, which presents with variability in patient outcomes within the same risk stratification (low, intermediate or high) and even within the same Gleason scores. Genomic tools have been developed with the purpose of stratifying patients affected by this disease to help physicians personalize therapies and follow-up schemes. This review focuses on these tissue-based tools. At present, four genomic tools are commercially available: Decipher™, Oncotype DX®, Prolaris® and ProMark®. Decipher™ is a tool based on 22 genes and evaluates the risk of adverse outcomes (metastasis) after radical prostatectomy (RP). Oncotype DX® is based on 17 genes and focuses on the ability to predict outcomes (adverse pathology) in very low-low and low-intermediate PCa patients, while Prolaris® is built on a panel of 46 genes and is validated to evaluate outcomes for patients at low risk as well as patients who are affected by high risk PCa and post-RP. Finally, ProMark® is based on a multiplexed proteomics assay and predicts PCa aggressiveness in patients found with similar features to Oncotype DX®. These biomarkers can be helpful for post-biopsy decision-making in low risk patients and post-radical prostatectomy in selected risk groups. Further studies are needed to investigate the clinical benefit of these new technologies, the financial ramifications and how they should be utilized in clinics.
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