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巴雷特食管患者的表观遗传预后检测方法Esopredict的分析验证

Analytical Validation of Esopredict, an Epigenetic Prognostic Assay for Patients with Barrett's Esophagus.

作者信息

Laun Sarah, Pierre Francia, Kim Suji, Lunz Daniel, Maddala Tara, Braun Jerome V, Meltzer Stephen J, Kann Lisa

机构信息

Previse, Halethorpe, MD 21227, USA.

Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

出版信息

Diagnostics (Basel). 2024 Sep 10;14(18):2003. doi: 10.3390/diagnostics14182003.

Abstract

Esopredict is a prognostic assay that risk-stratifies Barrett's esophagus patients to predict future progression to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC). Established based on foundational studies at Johns Hopkins University, a risk algorithm was developed and clinically validated in two independent studies ( = 320). Esopredict is currently offered as a clinical test under the Clinical Laboratory Improvement Amendments (CLIA) guidelines. Here we present the analytical validation by repeated testing of FFPE tissues ( = 26 patients), cell lines, and contrived DNA controls to determine assay performance regarding analytical sensitivity (as defined by the limit of detection (LOD)), analytical specificity (as defined by the limit of blank (LOB)), accuracy as determined from the average positive and negative agreement, repeatability, and reproducibility. The LOD for the assay at 1.5% DNA methylation was significantly higher than the LOB, as determined by an unmethylated DNA control (0% methylated DNA). Inter- and intra-assay average positive agreement (APA) were 88% and 94%, respectively, while average negative agreement (ANA) values were 90% and 94%, respectively. Average inter- and intra-assay precision were <9% and <5% coefficient of variation (CV), respectively. These results confirm that Esopredict is a highly reproducible, sensitive, and specific risk categorization assay for the prediction of progression to HGD or EAC within 5 years.

摘要

Esopredict是一种预后检测方法,可对巴雷特食管患者进行风险分层,以预测未来进展为高级别异型增生(HGD)或食管腺癌(EAC)的可能性。基于约翰霍普金斯大学的基础研究建立,开发了一种风险算法,并在两项独立研究(n = 320)中进行了临床验证。目前,Esopredict作为一项临床检测,按照临床实验室改进修正案(CLIA)指南提供。在此,我们通过对福尔马林固定石蜡包埋(FFPE)组织(n = 26例患者)、细胞系和人工合成DNA对照进行重复检测,展示了分析验证过程,以确定该检测方法在分析灵敏度(由检测限(LOD)定义)、分析特异性(由空白限(LOB)定义)、由平均阳性和阴性一致性确定的准确性、重复性和再现性方面的性能。通过未甲基化DNA对照(0%甲基化DNA)确定,该检测方法在1.5%DNA甲基化时的LOD显著高于LOB。批间和批内平均阳性一致性(APA)分别为88%和94%,而平均阴性一致性(ANA)值分别为90%和94%。批间和批内平均精密度分别<9%和<5%变异系数(CV)。这些结果证实,Esopredict是一种高度可重复、灵敏且特异的风险分类检测方法,用于预测5年内进展为HGD或EAC的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c54/11431466/005323b477c4/diagnostics-14-02003-g001.jpg

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