尿EN-2用于预测前列腺癌：系统评价与荟萃分析。
Urinary EN-2 to predict prostate cancer: Systematic review and meta-analysis.
作者信息
Rosa Maria Inês da, Dondossola Eduardo Ronconi, Alexandre Maria Cecilia Manenti, Madeira Kristian, Cardoso Florentino de Araújo, Grande Antonio José
机构信息
Epidemiology Laboratory, Universidade do Extremo Sul Catarinense (Unesc), Criciúma, SC, Brazil.
Graduate Studies Program in Collective Health, Unesc, Criciúma, SC, Brazil.
出版信息
Rev Assoc Med Bras (1992). 2017 Jul;63(7):656-661. doi: 10.1590/1806-9282.63.07.656.
INTRODUCTION
Prostate cancer is the second type of cancer diagnosed and the fifth cause of death in men worldwide. Early diagnosis helps to control disease progression. Currently, prostate specific antigen is the standard biomarker, as it has a broad scope of identification and, thus, new and more specific biomarkers must be studied.
OBJECTIVE
To evaluate the accuracy of engrailed-2 protein (EN2) in urine as a prostate cancer biomarker.
METHOD
A comprehensive search was conducted in the period from January 2005 to July 2016 using the following electronic databases: Medline (PubMed), Embase, Cochrane Library and Lilacs. The keywords used in the databases were: "engrailed-2," "EN2," "prostatic neoplasms." The search was limited to humans and there was no language restriction. Critical appraisal of the included studies was performed according to Quadas-2. Statistical analysis was performed using Meta-DiSc® and RevMan 5.3 softwares.
RESULTS
A total of 248 studies were identified. After title and abstract screening, 231 studies were removed. A total of 17 studies were read in full and two studies were included in the meta-analysis. The pooled sensitivity was 66% (95CI 0.56-0.75) and specificity was 89% (95CI 0.86-0.92). The DOR was 15.08 (95CI 8.43-26.97).
CONCLUSION
The EN2 test showed high specificity (89%) and low sensitivity (66%).
引言
前列腺癌是全球男性中第二常见的诊断癌症类型，也是第五大致死原因。早期诊断有助于控制疾病进展。目前，前列腺特异性抗原是标准生物标志物，由于其识别范围广泛，因此必须研究更新、更具特异性的生物标志物。
目的
评估尿液中 engrailed-2 蛋白（EN2）作为前列腺癌生物标志物的准确性。
方法
于 2005 年 1 月至 2016 年 7 月期间，使用以下电子数据库进行全面检索：医学文献数据库（PubMed）、Embase、Cochrane 图书馆和拉丁美洲及加勒比地区卫生科学数据库（Lilacs）。数据库中使用的关键词为：“engrailed-2”、“EN2”、“前列腺肿瘤”。检索限于人类研究，且无语言限制。根据 QUADAS-2 对纳入研究进行严格评价。使用 Meta-DiSc®和 RevMan 5.3 软件进行统计分析。
结果
共识别出 248 项研究。经过标题和摘要筛选，排除 231 项研究。共全文阅读了 17 项研究，其中两项研究纳入荟萃分析。合并敏感性为 66%（95%置信区间 0.56 - 0.75），特异性为 89%（95%置信区间 0.86 - 0.92）。诊断比值比为 15.08（95%置信区间 8.43 - 26.97）。
结论
EN2 检测显示出高特异性（89%）和低敏感性（66%）。
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