Immunohistochemical testing of GISTs using CD117 markers: the UK NEQAS ICC & ISH external quality assessment data show significant differences in the performance of methods in regular use.

IF 11.9 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
British Journal of Biomedical Science Pub Date : 2026-07-17 eCollection Date: 2026-01-01 DOI:10.3389/bjbs.2026.16506
Andrew Dodson, Suzanne Parry
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引用次数: 0

Abstract

Background: CD117 (c-KIT) is a tyrosine kinase receptor protein, mutations in which are important in the tumourigenesis of gastrointestinal stromal tumour (GIST). Immunohistochemical detection of CD117 is the primary identifying feature in its diagnosis.

Introduction: UK NEQAS ICC & ISH conducts an EQA programme for CD117 expression in GIST. Between May-2020 and May-2025, 20 runs of this EQA were undertaken. The archived data was analysed to look for evidence regarding the quality of testing and associations between primary antibodies and stain quality.

Discussion: Total submissions were 2,656 (mean per run = 132.8; range = 125-140). The number of submissions awarded a quality score indicating at least acceptable stain quality was 2,642 (99.5%). The total number of submissions that failed was 14 (mean proportion per run = 0.5%; range = 0.0%-2.4%); those obtaining a borderline score totalled 158 (mean proportion = 5.9%; range = 0.7%-10.9%); those obtaining an acceptable score totalled 394 (mean proportion = 14.8%; range = 4.3-24.4%); and those obtaining a good/excellent score totalled 2,090 (mean proportion = 78.7%; range = 57.7%-94.2%). There was a strong trend for the proportion of submissions obtaining a good/excellent quality score to increase over time. Four primary antibodies were used: Clone 9.7 (102 submissions, 3.9%), YR145 (263 submissions, 10.0%), EP10 supplied by Leica Biosystems (EP10(LB), 415 submissions, 15.8%), EP10 supplied by Roche Diagnostics (EP10(RD), 505 submissions, 19.2%), and a polyclonal antiserum supplied by Agilent Dako (1,263 submissions, 48.1%). A total of 76 submissions (2.9%) that used other primaries or suppliers were excluded from analysis.

Conclusion: Demonstration of CD117 overexpression in GIST was undertaken to a very high quality standard in the majority of laboratories. For users of Dako Agilent supplied automation the highest quality staining was produced by using the polyclonal antiserum from the same supplier. Among users of Leica Biosystems and Roche Diagnostics automation the best staining was produced by using primary sourced from the same supplier that provided their automation. It is recommended that Clone 9.7 (Roche Diagnostics) should not be used as the results it produced were statistically significantly inferior to those of all other antibodies.

使用CD117标记物对gist进行免疫组化检测:英国NEQAS ICC和ISH外部质量评估数据显示,常规使用的方法在性能上存在显著差异。
背景:CD117 (c-KIT)是一种酪氨酸激酶受体蛋白,其突变在胃肠道间质瘤(GIST)的肿瘤发生中起重要作用。免疫组化检测CD117是其诊断的主要识别特征。英国NEQAS ICC & ISH开展了GIST中CD117表达的EQA项目。在2020年5月至2025年5月期间,进行了20次EQA。对存档的数据进行分析,以寻找有关检测质量和一抗与染色质量之间关系的证据。讨论:总共提交了2656份(平均每次运行= 132.8;范围= 125-140)。获得质量分数的提交数量表明至少可接受的染色质量为2,642(99.5%)。失败的参赛作品总数为14件(平均每次参赛比例为0.5%,范围为0.0%-2.4%);达到边缘性评分者158例(平均比例5.9%,范围0.7% ~ 10.9%);获得可接受评分者共394人,平均比例为14.8%,范围为4.3 ~ 24.4%;优秀者2090人(平均占比78.7%,范围57.7% ~ 94.2%)。随着时间的推移,获得良好/优秀质量分数的提交比例呈上升趋势。使用了四种一抗:克隆9.7(102份申报,3.9%)、YR145(263份申报,10.0%)、徕卡生物系统公司提供的EP10(EP10(LB), 415份申报,15.8%)、罗氏诊断公司提供的EP10(EP10(RD), 505份申报,19.2%)和安捷伦Dako公司提供的多克隆抗血清(1263份申报,48.1%)。共有76份(2.9%)使用其他主要供应商或供应商的提交被排除在分析之外。结论:大多数实验室对GIST中CD117的过表达进行了高质量的验证。对于Dako Agilent提供自动化的用户,使用来自同一供应商的多克隆抗血清产生最高质量的染色。在徕卡生物系统和罗氏诊断自动化的用户中,最好的染色是使用来自提供其自动化的同一供应商的原液生产的。建议克隆9.7(罗氏诊断)不应使用,因为其产生的结果在统计上明显低于所有其他抗体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
British Journal of Biomedical Science
British Journal of Biomedical Science 医学-医学实验技术
CiteScore
4.40
自引率
15.80%
发文量
29
审稿时长
>12 weeks
期刊介绍: The British Journal of Biomedical Science is committed to publishing high quality original research that represents a clear advance in the practice of biomedical science, and reviews that summarise recent advances in the field of biomedical science. The overall aim of the Journal is to provide a platform for the dissemination of new and innovative information on the diagnosis and management of disease that is valuable to the practicing laboratory scientist.
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