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基于血液的生物标志物对胰腺癌的诊断准确性:系统评价和荟萃分析。

Diagnostic Accuracy of Blood-based Biomarkers for Pancreatic Cancer: A Systematic Review and Meta-analysis.

机构信息

Department of Surgery, Trinity St. James's Cancer Institute, Trinity College Dublin, Dublin, Ireland.

Department of Gastroenterology, Tallaght University Hospital, Dublin, Ireland.

出版信息

Cancer Res Commun. 2022 Oct 20;2(10):1229-1243. doi: 10.1158/2767-9764.CRC-22-0190. eCollection 2022 Oct.

Abstract

UNLABELLED

Pancreatic ductal adenocarcinoma (PDAC) has a 5-year survival rate below 5%. Carbohydrate antigen 19-9 (CA19-9) is the most commonly used blood-based biomarker for PDAC in current clinical practice, despite having been shown repeatedly to be inaccurate and have poor diagnostic performance. This review aims to assess the reported diagnostic accuracy of all blood-based biomarkers investigated to date in PDAC, by directly comparing individual biomarkers and multi-biomarker panels, both containing CA19-9 and not (novel). A systematic review was conducted in accordance with PRISMA standards in July 2020. Individualized search strategies for three academic databases identified 5,885 studies between the years 1973 and 2020. After two rounds of screening, 250 studies were included. Data were extracted and assessed for bias. A multivariate three-level meta-analysis with subgroup moderators was run in R using AUC values as effect size. On the basis of this model, the pooled AUC value for all multi-biomarker panels (AUC = 0.898; 95% confidence interval (CI): 0.88-0.91) was significantly higher than all single biomarkers (AUC = 0.803; 95% CI: 0.78-0.83; < 0.0001). The pooled AUC value for CA19-9 alone was significantly lower compared with the multi-biomarker panels containing CA19-9 ( < 0.0001). For the novel biomarkers, the pooled AUC for single biomarkers was also significantly lower compared with multi-biomarker panels ( < 0.0001). Novel biomarkers that have been repeatedly examined across the literature, such as TIMP-1, CEA, and CA125, are highlighted as promising. These results suggest that CA19-9 may be best used as an addition to a panel of biomarkers rather than alone, and that multi-biomarker panels generate the most robust results in blood-based PDAC diagnosis.

SIGNIFICANCE

In a systematic review and three-level multivariate meta-analysis, it is shown for the first time that blood-based multi-biomarker panels for the diagnosis of PDAC exhibit superior performance in comparison with single biomarkers. CA19-9 is demonstrated to have limited utility alone, and to perform poorly in patient control cohorts of both healthy and benign individuals. Multi-biomarker panels containing CA19-9 produce the best diagnostic performance overall.

摘要

目的

本综述旨在通过直接比较目前已研究的个体生物标志物和包含 CA19-9 或不包含 CA19-9(新型)的多生物标志物组合,评估迄今为止报道的所有用于胰腺导管腺癌(PDAC)的基于血液的生物标志物的诊断准确性。

方法

按照 PRISMA 标准于 2020 年 7 月进行系统评价。个体化的搜索策略在三个学术数据库中确定了 1973 年至 2020 年之间的 5885 项研究。经过两轮筛选,共纳入 250 项研究。提取数据并评估偏倚。使用 R 中的 AUC 值作为效应量进行多变量三级荟萃分析。基于该模型,所有多生物标志物组合的汇总 AUC 值(AUC=0.898;95%置信区间(CI):0.88-0.91)显著高于所有单一生物标志物(AUC=0.803;95%CI:0.78-0.83;<0.0001)。与包含 CA19-9 的多生物标志物组合相比,CA19-9 单独的汇总 AUC 值显著降低(<0.0001)。对于新型生物标志物,与多生物标志物组合相比,单个生物标志物的汇总 AUC 值也显著降低(<0.0001)。文献中反复检查的新型标志物,如 TIMP-1、CEA 和 CA125 等,被认为具有很大的应用前景。

结果

本系统评价和三级多变量荟萃分析表明,首次证实基于血液的 PDAC 诊断多生物标志物组合的表现优于单一生物标志物。CA19-9 单独使用的效用有限,在健康和良性个体的患者对照队列中表现不佳。包含 CA19-9 的多生物标志物组合总体上产生了最佳的诊断性能。

结论

CA19-9 可能最好作为多标志物组合的补充而不是单独使用,多标志物组合在 PDAC 的血液诊断中具有最佳的诊断性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea30/10035398/94b04f65f573/crc-22-0190_fig1.jpg

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