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Decipher基因组分类器在前列腺癌中的临床影响。

The Clinical Impact of the Decipher Genomic Classifier in Prostate Cancer.

作者信息

Li Sophia, A Berg Stephanie, Sayan Mutlay

机构信息

Department of Radiation Oncology, Brigham and Women's Hospital and Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

Lank Center for Genitourinary Oncology at Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.

出版信息

Eurasian J Med. 2025 May 5;57(2):1-4. doi: 10.5152/eurasianjmed.2025.25828.

Abstract

The Decipher genomic classifier (GC) is a 22-gene expression test that refines risk stratification and informs treatment decisions in localized prostate cancer. Traditional clinicopathologic factors, including prostate-specific antigen levels and kinetics, Gleason score, histologic variants, and tumor stage, do not fully capture disease heterogeneity, leading to potential overtreatment or undertreatment. The Decipher GC has demonstrated clinical utility across risk groups, helping to distinguish candidates for active surveillance in low-risk prostate cancer, refine the need for androgen deprivation therapy in intermediate-risk disease, and guide treatment intensification in high-risk patients. In the post-radical prostatectomy setting, the GC aids in determining the need for early salvage radiation therapy and hormonal therapy. While retrospective studies support its prognostic value, limitations include heterogeneity in study designs and the lack of established predictive utility for treatment response. Ongoing prospective trials, such as NRG GU-009 and NRG GU-010, aim to validate further the Decipher GC's role in clinical decision-making and treatment personalization.

摘要

Decipher基因组分类器(GC)是一种检测22个基因表达的测试,可优化局限性前列腺癌的风险分层并为治疗决策提供依据。传统的临床病理因素,包括前列腺特异性抗原水平和动态变化、 Gleason评分、组织学变异以及肿瘤分期,无法完全体现疾病的异质性,从而导致潜在的过度治疗或治疗不足。Decipher GC已在各个风险组中显示出临床实用性,有助于区分低风险前列腺癌中适合进行主动监测的患者,明确中度风险疾病中雄激素剥夺治疗的必要性,并指导高风险患者加强治疗。在前列腺癌根治术后的情况下,GC有助于确定是否需要早期挽救性放射治疗和激素治疗。虽然回顾性研究支持其预后价值,但其局限性包括研究设计的异质性以及缺乏已确立的治疗反应预测效用。正在进行的前瞻性试验,如NRG GU-009和NRG GU-010,旨在进一步验证Decipher GC在临床决策和治疗个性化中的作用。

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