Suppr超能文献

循环肿瘤 DNA 作为肝细胞癌微创生物标志物的诊断性能:系统评价和荟萃分析。

Diagnostic performance of circulating tumor DNA as a minimally invasive biomarker for hepatocellular carcinoma: a systematic review and meta-analysis.

机构信息

Hepatobiliary Pancreatic Department, The First Hospital of Jilin University, Changchun, Jilin, China.

Department of Hepatobiliary and Pancreatic Medicine, The First Hospital of Jilin University, Changchun, Jilin, China.

出版信息

PeerJ. 2022 Nov 3;10:e14303. doi: 10.7717/peerj.14303. eCollection 2022.

Abstract

PURPOSE

This study aimed to assess the diagnostic performance of circulating tumor DNA (ctDNA) in hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

We enrolled all relevant studies published up to 5 January 2022. Three primary subgroups were investigated: qualitative or quantitative ctDNA analyses, combined alpha-fetoprotein (AFP), and ctDNA assay. In addition to the three primary subgroups, we also evaluated the diagnostic value of methylated SEPTIN9 (mSEPT9), which has been studied extensively in the diagnosis of hepatocellular carcinoma. After a search based on four primary databases, we used a bivariate linear mixed model to analyze the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). We also plotted hierarchical summary receiver operating characteristics (HSROC) and utilized lambda as well as the area under the curve (AUC) to create summary receiver operating characteristic (SROC) curves to estimate the diagnostic value of ctDNA.

RESULTS

A total of 59 qualified articles with 9,766 subjects were incorporated into our meta-analysis. The integrated SEN, SPE, and DOR in the qualitative studies were 0.50 (95% CI [0.43-0.56]), 0.90 (95% CI [0.86-0.93]), and 8.72 (95% CI [6.18-12.32]), respectively, yielding an AUC of 0.78 and lambda of 1.93 (95% CI [1.56-2.33]). For quantitative studies, the corresponding values were 0.69 (95% CI [0.63-0.74]), 0.84 (95% CI [0.77-0.89]), 11.88 (95% CI [7.78-18.12]), 0.81, and 2.32 (95% CI [1.96-2.69]), respectively. Six studies were included to evaluate the SETP9 methylation, which yielded an AUC of 0.86, a SEN of 0.80 (95% CI [0.71-0.87]), and a SPE of 0.77 (95% CI [0.68-0.85]). Likewise, ctDNA concentration yielded an AUC of 0.73, with a SEN of 0.63 (95% CI [0.56-0.70]) and a SPE of 0.86 (95% CI [0.74-0.93]). AFP combined with ctDNA assay resulted in an AUC of 0.89, with a SEN of 0.82 (95% CI [0.77-0.86]) and a SPE of 0.84 (95% CI [0.76-0.90]).

CONCLUSION

This study shows that circulating tumor DNA, particularly mSEPT9, shows promising diagnostic potential in HCC; however, it is not enough to diagnose HCC independently, and ctDNA combined with conventional assays such as AFP can effectively improve diagnostic performance.

摘要

目的

本研究旨在评估循环肿瘤 DNA(ctDNA)在肝细胞癌(HCC)中的诊断性能。

材料与方法

我们纳入了截至 2022 年 1 月 5 日发表的所有相关研究。我们研究了三个主要亚组:定性或定量 ctDNA 分析、联合甲胎蛋白(AFP)和 ctDNA 检测。除了这三个主要亚组外,我们还评估了甲基化 SEPTIN9(mSEPT9)的诊断价值,mSEPT9 已在肝细胞癌的诊断中进行了广泛研究。在基于四个主要数据库进行搜索后,我们使用双变量线性混合模型来分析汇总敏感性(SEN)、特异性(SPE)、阳性似然比(PLR)、阴性似然比(NLR)和诊断比值比(DOR)。我们还绘制了分层综合受试者工作特征(HSROC)曲线,并利用 lambda 以及曲线下面积(AUC)绘制综合受试者工作特征(SROC)曲线,以评估 ctDNA 的诊断价值。

结果

共有 59 篇符合条件的文章,包含 9766 名受试者被纳入我们的荟萃分析。定性研究中的综合 SEN、SPE 和 DOR 分别为 0.50(95%CI[0.43-0.56])、0.90(95%CI[0.86-0.93])和 8.72(95%CI[6.18-12.32]),AUC 为 0.78,lambda 为 1.93(95%CI[1.56-2.33])。对于定量研究,相应的值分别为 0.69(95%CI[0.63-0.74])、0.84(95%CI[0.77-0.89])、11.88(95%CI[7.78-18.12])、0.81 和 2.32(95%CI[1.96-2.69])。我们纳入了 6 项研究来评估 SETP9 甲基化,其 AUC 为 0.86,SEN 为 0.80(95%CI[0.71-0.87]),SPE 为 0.77(95%CI[0.68-0.85])。同样,ctDNA 浓度的 AUC 为 0.73,SEN 为 0.63(95%CI[0.56-0.70]),SPE 为 0.86(95%CI[0.74-0.93])。AFP 联合 ctDNA 检测的 AUC 为 0.89,SEN 为 0.82(95%CI[0.77-0.86]),SPE 为 0.84(95%CI[0.76-0.90])。

结论

本研究表明,循环肿瘤 DNA,特别是 mSEPT9,在 HCC 中具有有前景的诊断潜力;然而,它还不足以独立诊断 HCC,ctDNA 与 AFP 等常规检测方法联合使用可以有效提高诊断性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bcf/9637356/4b9ea1a85365/peerj-10-14303-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验