减少前列腺癌患者的过度治疗:利用鹿特丹欧洲前列腺癌筛查随机研究的长期随访数据重新审视欧洲泌尿学协会的治疗前风险组别分类。

IF 8.3 1区 医学 Q1 ONCOLOGY
Ivo I de Vos, Charlotte Rosenstand, Renée Hogenhout, Roderick C N van den Bergh, Sebastiaan Remmers, Monique J Roobol
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引用次数: 0

摘要

背景和目的:前列腺癌(PCa)的针对性治疗需要准确的风险分层。本研究探讨了欧洲泌尿外科协会(EAU)分类在预测PCa长期特异性死亡率(PCSM)方面的有效性,并评估了替代系统是否能改善低风险疾病患者的识别:这项研究包括两个局部 PCa 患者队列:一个是筛查发现的 PCa(n = 1563;S-队列),另一个是临床发现的 PCa(n = 755;C-队列),所有这些患者都来自一项基于人群的随机筛查研究,他们都接受了原发性根治性前列腺切除术或单一放射治疗。患者根据传统的EAU风险分类和另一种风险分类进行分层,其中低风险疾病根据当代主动监测(AS)资格标准进行调整。评估了每种风险分类和队列的15年随时间变化的曲线下面积(AUC)和确诊后15年的PCSM累积发病率:S队列和C队列的中位随访时间分别为20年和12年,EAU分类在预测PCSM方面的15年AUC分别为0.76(95%置信区间[CI]:0.71-0.80)和0.72(95%置信区间:0.65-0.79)。替代分类法在S队列中的15年AUC为0.74(95% CI:0.69-0.79),在C队列中为0.75(95% CI:0.68-0.81)。与EAU分类法相比,替代分类法在S-队列中发现的低风险男性比EAU分类法多45%,在C-队列中发现的低风险男性比EAU分类法多83%,但15年的PCSM发病率在统计学上没有显著增加(S-队列亚危险比:1.33 [95% CI:0.66-2.68];C-队列亚危险比:0.99 [95% CI:0.29-3.38]):EAU分类能准确预测PCSM,但根据AS资格调整后的另一种分类能识别出更多的低风险男性。患者总结:本研究表明,虽然常用的前列腺癌治疗前风险分类能准确预测疾病预后,但基于主动监测资格标准的替代系统能将更多男性确定为低风险。采用这种分类方法可以提高主动监测的接受度和使用率,减少不必要的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing Overtreatment of Prostate Cancer Patients: Revisiting the European Association of Urology Pretreatment Risk Group Classification Using Long-term Follow-up Data from the European Randomized Study of Screening for Prostate Cancer Rotterdam.

Background and objective: Tailored treatment for prostate cancer (PCa) requires accurate risk stratification. This study examines the effectiveness of the European Association of Urology (EAU) classification in predicting long-term PCa-specific mortality (PCSM) and assesses whether an alternative system can improve the identification of patients with low-risk disease.

Methods: This study included two cohorts of patients with localized PCa: one with screen-detected PCa (n = 1563; S-cohort) and the other with clinically detected PCa (n = 755; C-cohort), all from a population-based, randomized screening study, who underwent primary radical prostatectomy or radiation monotherapy. Patients were stratified according to the traditional EAU risk classification and an alternative risk classification where low-risk disease is adjusted according to contemporary active surveillance (AS) eligibility criteria. The 15-yr time-dependent area under the curve (AUC) and the cumulative incidence of PCSM at 15 yr after diagnosis were assessed for each risk classification and cohort.

Key findings and limitations: With a median follow-up of 20 yr in the S-cohort and 12 yr in the C-cohort, the EAU classification demonstrated 15-yr AUCs of 0.76 (95% confidence interval [CI]: 0.71-0.80) and 0.72 (95% CI: 0.65-0.79), respectively, for predicting PCSM. The alternative classification showed a 15-yr AUC of 0.74 (95% CI: 0.69-0.79) in the S-cohort and 0.75 (95% CI: 0.68-0.81) in the C-cohort. The alternative classification identified 45% more men having a low risk in the S-cohort and 83% more in the C-cohort than the EAU classification, with no statistically significant increase in the 15-yr PCSM incidence (S-cohort subhazard ratio: 1.33 [95% CI: 0.66-2.68]; C-cohort subhazard ratio: 0.99 [95% CI: 0.29-3.38]).

Conclusions and clinical implications: The EAU classification predicts PCSM accurately, but an alternative classification, adjusted for AS eligibility, identifies substantially more men as having a low risk. This could enhance AS acceptance and utilization in clinical practice, reducing overtreatment.

Patient summary: This study shows that while a commonly used pretreatment risk classification for prostate cancer predict disease prognosis accurately, an alternative system based on active surveillance eligibility criteria identifies many more men as having a low risk. Adopting this classification could enhance the acceptance and use of active surveillance, reducing unnecessary treatments.

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来源期刊
CiteScore
15.50
自引率
2.40%
发文量
128
审稿时长
20 days
期刊介绍: Journal Name: European Urology Oncology Affiliation: Official Journal of the European Association of Urology Focus: First official publication of the EAU fully devoted to the study of genitourinary malignancies Aims to deliver high-quality research Content: Includes original articles, opinion piece editorials, and invited reviews Covers clinical, basic, and translational research Publication Frequency: Six times a year in electronic format
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