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免疫组织化学与分子技术检测子宫内膜癌微卫星不稳定性和 p53 突变的诊断性能比较。

Diagnostic Performance of Immunohistochemistry Compared to Molecular Techniques for Microsatellite Instability and p53 Mutation Detection in Endometrial Cancer.

机构信息

Department of Medical Oncology, CHU Liège, 4000 Liège, Belgium.

Department of Gynecology and Obstetrics, CHU Liège, 4000 Liège, Belgium.

出版信息

Int J Mol Sci. 2023 Mar 2;24(5):4866. doi: 10.3390/ijms24054866.

Abstract

Molecular algorithms may estimate the risk of recurrence and death for patients with endometrial cancer (EC) and may impact treatment decisions. To detect microsatellite instabilities (MSI) and p53 mutations, immunohistochemistry (IHC) and molecular techniques are used. To select the most appropriate method, and to have an accurate interpretation of their results, knowledge of the performance characteristics of these respective methods is essential. The objective of this study was to assess the diagnostic performance of IHC versus molecular techniques (gold standard). One hundred and thirty-two unselected EC patients were enrolled in this study. Agreement between the two diagnostic methods was assessed using Cohen's kappa coefficient. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the IHC were calculated. For MSI status, the sensitivity, specificity, PPV and NPV were 89.3%, 87.3%, 78.1% and 94.1%, respectively. Cohen's kappa coefficient was 0.74. For p53 status, the sensitivity, specificity, PPV, and NPV were 92.3%, 77.1%, 60.0% and 96.4%, respectively. Cohen's kappa coefficient was 0.59. For MSI status, IHC presented a substantial agreement with the polymerase chain reaction (PCR) approach. For the p53 status, the moderate agreement observed between IHC and next generation sequencing (NGS) methods implies that they cannot be used interchangeably.

摘要

分子算法可用于评估子宫内膜癌(EC)患者的复发和死亡风险,并可能影响治疗决策。为了检测微卫星不稳定性(MSI)和 p53 突变,常使用免疫组织化学(IHC)和分子技术。为了选择最合适的方法,并对其结果进行准确解读,了解这些方法各自的性能特征至关重要。本研究旨在评估 IHC 与分子技术(金标准)的诊断性能。本研究纳入了 132 例未经选择的 EC 患者。使用 Cohen's kappa 系数评估两种诊断方法之间的一致性。计算 IHC 的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。对于 MSI 状态,IHC 的敏感性、特异性、PPV 和 NPV 分别为 89.3%、87.3%、78.1%和 94.1%。Cohen's kappa 系数为 0.74。对于 p53 状态,IHC 的敏感性、特异性、PPV 和 NPV 分别为 92.3%、77.1%、60.0%和 96.4%。Cohen's kappa 系数为 0.59。对于 MSI 状态,IHC 与聚合酶链反应(PCR)方法具有显著一致性。对于 p53 状态,IHC 与下一代测序(NGS)方法之间观察到的中度一致性意味着它们不能互换使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f27c/10002995/02d9829ad8ab/ijms-24-04866-g001.jpg

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