Zhang Cong, Chao Fan, Wang Shiyu, Han Dunsheng, Chen Gang
Department of Urology, Jinshan Hospital, Fudan University, Shanghai 201508, China.
Department of Surgery, Shanghai Medical College, Fudan University, Shanghai 200032, China.
J Oncol. 2022 May 27;2022:1505087. doi: 10.1155/2022/1505087. eCollection 2022.
The detection of cell-free DNA (cfDNA) as a part of "liquid biopsy" of prostate cancer (PCa) has been widely explored. However, its diagnostic value for PCa remains controversial. Based on the data from the latest literature published in the past decade, the present review was conducted to clarify the diagnostic value of cfDNA in PCa.
The related studies were systematically searched in the databases of PubMed, Embase, Web of Science, and Cochrane Library from January 1, 2010 to December 1, 2020. Sensitivity (SEN), specificity (SPE), and other relative parameters were pooled using a random model.
14 eligible studies with 1049 PCa patients and 973 controls were selected based on the inclusion and exclusion criteria. Results demonstrated that cfDNA showed favorable SPE (0.89, 95% CI: 0.79, 0.94) but unsatisfied SEN (0.56, 95% CI: 0.43, 0.68) in the PCa diagnosis. The positive likelihood ratios (PLR), negative likelihood ratios (NLR), and diagnostic odds ratios (DOR) were 5.1 (95% CI: 3.1, 8.5), 0.49 (95% CI: 0.39, 0.63), and 10 (95% CI: 6, 17), respectively. The summary receiver operating characteristic graph (SROC) with an area under the curve (AUC) of 0.80 (95% CI: 0.76, 0.83) was constructed which indicated favorable diagnostic accuracy for PCa. Results of the subgroup analysis and metaregression analysis reminded "ethnicity" and "methylation" might be sources of heterogeneity. The potential publication bias was not found using Deek's funnel plot asymmetry test ( > 0.05).
Our meta-analysis illustrated that the cfDNA could undertake a promising role in the PCa diagnosis.
作为前列腺癌(PCa)“液体活检”的一部分,游离DNA(cfDNA)的检测已得到广泛探索。然而,其对PCa的诊断价值仍存在争议。基于过去十年发表的最新文献数据,进行本综述以阐明cfDNA在PCa中的诊断价值。
在2010年1月1日至2020年12月1日期间,在PubMed、Embase、Web of Science和Cochrane图书馆数据库中系统检索相关研究。使用随机模型汇总敏感性(SEN)、特异性(SPE)和其他相关参数。
根据纳入和排除标准,选择了14项符合条件的研究,包括1049例PCa患者和973例对照。结果表明,cfDNA在PCa诊断中显示出良好的SPE(0.89,95%CI:0.79,0.94),但SEN不令人满意(0.56,95%CI:0.43,0.68)。阳性似然比(PLR)、阴性似然比(NLR)和诊断优势比(DOR)分别为5.1(95%CI:3.1,8.5)、0.49(95%CI:0.39,0.63)和10(95%CI:6,17)。构建了曲线下面积(AUC)为0.80(95%CI:0.76,0.83)的汇总受试者工作特征图(SROC),表明对PCa具有良好的诊断准确性。亚组分析和Meta回归分析结果提示“种族”和“甲基化”可能是异质性来源。使用Deek漏斗图不对称检验未发现潜在的发表偏倚(>0.05)。
我们的Meta分析表明,cfDNA在PCa诊断中可能发挥有前景的作用。