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基因组分类器对局限性前列腺癌患者风险分层和治疗强度的影响:一项系统评价

Impact of Genomic Classifiers on Risk Stratification and Treatment Intensity in Patients With Localized Prostate Cancer : A Systematic Review.

作者信息

Tabriz Amir Alishahi, Boyer Matthew J, Gordon Adelaide M, Carpenter David J, Gingrich Jeffrey R, Raman Sudha R, Sirohi Deepika, Rompre-Brodeur Alexis, Lunyera Joseph, Basher Fahmin, Bitting Rhonda L, Kosinski Andrzej S, Cantrell Sarah, Ear Belinda, Gierisch Jennifer M, Jacobs Morgan, Goldstein Karen M

机构信息

Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida (A.A.T.).

Durham VA Health Care System, Durham; and Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina (M.J.B.).

出版信息

Ann Intern Med. 2025 Feb;178(2):218-228. doi: 10.7326/ANNALS-24-00700. Epub 2025 Jan 21.

Abstract

BACKGROUND

Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.

PURPOSE

To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.

DATA SOURCES

MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.

STUDY SELECTION

Two investigators independently identified studies on risk classification and treatment choice after GC testing for patients with localized PCa considering first-line treatment.

DATA EXTRACTION

Relevant data extracted by 1 researcher and overread by a second. Risk of bias (ROB) was assessed in duplicate.

DATA SYNTHESIS

Ten studies reported risk reclassification after GC testing. In low ROB observational studies, very low- or low-risk patients with PCa were more likely to have their risk levels classified as the same or lower (GPS, 100% to 88.1%; Decipher, 87.2% to 82.9%; Prolaris, 76.9%). However, 1 randomized trial found that GC testing with GPS reclassified 34.5% of very low-risk and 29.4% of low-risk patients to a higher risk category. Twelve observational studies indicated that treatment decisions after GC testing either remained unchanged or slightly favored active surveillance. In contrast, analyses from a single randomized trial found fewer choices for active surveillance after GPS testing.

LIMITATIONS

Heterogeneity in screening patterns, risk-determination cutoffs, pathology, and clinical practices. Studies on treatment choice were moderate to high ROB.

CONCLUSION

Although GC tests do not consistently influence risk classification or treatment decisions, the differences observed between observational and randomized studies highlight a need for well-designed trials to explore the role of GC tests in patients with newly diagnosed PCa considering first-line treatment.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs. (PROSPERO: CRD42022347950).

摘要

背景

基于组织的基因组分类器(GCs)已被开发出来,以改善前列腺癌(PCa)的风险评估和治疗建议。

目的

总结Decipher、Oncotype DX基因组前列腺评分(GPS)和Prolaris基因组分类器对局限性PCa患者一线治疗时风险分层以及患者-临床医生治疗选择决策的影响。

数据来源

2010年1月至2024年8月发表在MEDLINE、EMBASE和科学网的数据。

研究选择

两名研究人员独立确定了关于局限性PCa患者一线治疗时GC检测后风险分类和治疗选择的研究。

数据提取

由一名研究人员提取相关数据,另一名研究人员进行复核。对偏倚风险(ROB)进行了两次评估。

数据综合

十项研究报告了GC检测后的风险重新分类情况。在低ROB观察性研究中,极低风险或低风险的PCa患者更有可能其风险水平被分类为相同或更低(GPS,100%至88.1%;Decipher,87.2%至82.9%;Prolaris,76.9%)。然而,一项随机试验发现,使用GPS进行的GC检测将34.5%的极低风险患者和29.4%的低风险患者重新分类为更高风险类别。十二项观察性研究表明,GC检测后的治疗决策要么保持不变,要么略倾向于主动监测。相比之下,一项随机试验的分析发现,GPS检测后主动监测的选择较少。

局限性

筛查模式、风险判定临界值、病理学和临床实践存在异质性。关于治疗选择的研究具有中度至高ROB。

结论

尽管GC检测并非始终影响风险分类或治疗决策,但观察性研究和随机试验之间观察到的差异凸显了需要精心设计试验,以探索GC检测在新诊断的考虑一线治疗的PCa患者中的作用。

主要资金来源

美国退伍军人事务部。(国际前瞻性系统评价注册库:CRD42022347950)

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