首页> 外文期刊>Histopathology: Official Journal of the British Division of the International Academy of Pathology >Inter- and intra-observational variability in immunohistochemistry: A multicentre analysis of diffuse large B-cell lymphoma staining
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Inter- and intra-observational variability in immunohistochemistry: A multicentre analysis of diffuse large B-cell lymphoma staining

机译:免疫组化中观察间和观察间的变异性:弥漫性大B细胞淋巴瘤染色的多中心分析

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Aims: Although many immunohistochemical (IHC) cancer biomarkers have been identified, very few have translated into routine clinical practice, primarily because of technical and observational inconsistencies between studies. However, despite the obvious need to address such variability, very few studies have done so. Methods and results: Using bcl-6, CD10, MUM1, GCET1 and FOXP1 antibody staining on diffuse large B-cell lymphoma cases (n=138) as a model, we employed Cronbach α analysis to quantify interobserver and intraobserver variability between four independent observers (two per institution), scoring two tissue microarrays (TMAs) stained at both institutions using differing staining procedures. The overall concordance between all observations irrespective of staining procedure or TMA source was high (average α=0.951), with the highest level being reached for CD10 staining (average α=0.967) and the lowest for bcl-6 (average α=0.924). Interslide and interinstitutional reproducibility were similarly high (average α=0.952 and average α=0.934, respectively). Interobserver/intrainstitutional and interobserver/interinstitutional comparisons showed lower levels of concordance (average α=0.870 and average α=0.877, respectively), and intraobserver/interinstitutional comparisons showed the lowest levels of concordance (average α=0.810), particularly for bcl-6 staining (α=0.658). Conclusions: This study suggests that most variability in IHC studies between centres results from inherent limitations of the biomarkers investigated rather than procedural or observational differences.
机译:目的:尽管已鉴定出许多免疫组织化学(IHC)癌症生物标志物,但很少有转化为常规临床实践的方法,这主要是由于研究之间的技术和观察上的不一致。然而,尽管显然需要解决这种可变性,但很少有研究这样做。方法和结果:以弥漫性大B细胞淋巴瘤病例(n = 138)的bcl-6,CD10,MUM1,GCET1和FOXP1抗体染色为模型,我们采用Cronbachα分析来量化四个独立观察者之间的观察者间和观察者内变异性(每个机构两个),在两个机构使用不同的染色程序对两个组织微阵列(TMA)进行染色。不论染色程序或TMA来源如何,所有观察之间的总体一致性都很高(平均α= 0.951),CD10染色达到最高水平(平均α= 0.967),而bcl-6达到最低水平(平均α= 0.924)。 。幻灯片间和机构间的可重复性都很高(平均α= 0.952和平均α= 0.934)。观察者间/机构间和观察者间/机构间的比较显示出较低的一致性水平(分别为平均α= 0.870和平均α= 0.877),观察者/机构间的比较显示出最低的一致性水平(平均α= 0.810),尤其是对于bcl-6染色(α= 0.658)。结论:这项研究表明,各中心之间IHC研究的最大差异是由于所研究生物标志物的固有局限性,而不是程序或观察上的差异。

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