Novel immunohistochemical assay utilizing the INSM1 (SP493) antibody demonstrates high specificity and sensitivity in detecting primary neuroendocrine lung neoplasms.

IF 3.5 3区 医学 Q2 PATHOLOGY
Katerina Dvorak, Alexander Gomez, Rafael Sainz
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引用次数: 0

Abstract

INTRODUCTION: About 15–20% of lung neoplasms are of neuroendocrine origin. In addition to evaluation of morphological features, these neoplasms can be identified by immunohistochemistry (IHC) using antibodies against neuroendocrine markers such as synaptophysin, chromogranin A, and neural cell adhesion molecule, CD56. Recent studies have shown that insulinoma-associated protein 1 (INSM1) is increasingly used as a diagnostic marker for neoplasms of neuroendocrine origin, as it is highly sensitive and specific. The primary focus of this study was to evaluate the sensitivity and specificity of a recently developed assay that uses a new INSM1 (SP493) antibody for detecting primary neuroendocrine lung neoplasms and to compare this IHC assay with currently used neuroendocrine markers. METHOD: Tissue microarrays containing 391 lung neoplasms were stained with INSM1 (SP493) antibody, INSM1 (MRQ-70) antibody, CONFIRM anti-Synaptophysin (SP11) antibody, anti-Chromogranin A (LK2H10) antibody, and CD56 (MRQ-42) antibody on BenchMark ULTRA instruments using OptiView IHC DAB Detection Kit or ultraView Universal DAB Detection Kit using manufacturer’s recommended protocols. Sensitivity, specificity, and accuracy were calculated for each biomarker. RESULTS: The sensitivity and specificity of the new assay using INSM1 (SP493) antibody for detecting primary lung neoplasms with neuroendocrine differentiation were 96.8% and 92.3%, respectively. Comparable results were seen for the lung neoplastic cases stained with INSM1 (MRQ-70) antibody, yielding a sensitivity of 94.9% and specificity of 94.1%. In contrast, the anti-Chromogranin A (LK2H10) antibody and CD56 (MRQ-42) antibody showed considerably lower sensitivities. The sensitivity was 78.7% for the anti-Chromogranin A (LK2H10) antibody and 85.4% for the CD56 (MRQ-42) antibody. However, the specificities of anti-Chromogranin A (LK2H10) antibody and CD56 (MRQ-42) antibody were comparable with the specificity of the INSM1 (SP493) antibody [91.7% for anti-Chromogranin A (LK2H10) antibody, 90.4% for CD56 (MRQ-42) antibody]. The performance of the anti-Synaptophysin (SP11) antibody was suboptimal, with a sensitivity of 82.9% and a specificity of 87.6%. CONCLUSIONS: Overall, our data demonstrate that the IHC assay using the newly developed INSM1 (SP493) antibody is highly specific and sensitive for identifying primary neuroendocrine lung neoplasms.

Abstract Image

利用INSM1 (SP493)抗体的新型免疫组化检测在检测原发性神经内分泌肺肿瘤中具有高特异性和敏感性。
简介:约15-20%的肺肿瘤为神经内分泌源性肿瘤。除了评估形态学特征外,这些肿瘤还可以通过免疫组织化学(IHC)识别,使用针对神经内分泌标记物的抗体,如突触素、嗜铬粒蛋白A和神经细胞粘附分子CD56。最近的研究表明,胰岛素瘤相关蛋白1 (INSM1)越来越多地被用作神经内分泌源性肿瘤的诊断标志物,因为它具有高度的敏感性和特异性。本研究的主要重点是评估最近开发的一种检测方法的敏感性和特异性,该方法使用一种新的INSM1 (SP493)抗体检测原发性神经内分泌肺肿瘤,并将这种免疫组化检测方法与目前使用的神经内分泌标志物进行比较。方法:使用OptiView IHC DAB检测试剂盒或ultraView通用DAB检测试剂盒,在BenchMark ULTRA仪器上对含有391个肺肿瘤的组织微阵列进行INSM1 (SP493)抗体、INSM1 (MRQ-70)抗体、CONFIRM抗synaptophysin (SP11)抗体、抗chromogranin A (LK2H10)抗体和CD56 (MRQ-42)抗体染色,使用制造商推荐的方案。计算每个生物标志物的敏感性、特异性和准确性。结果:采用INSM1 (SP493)抗体检测原发性肺肿瘤神经内分泌分化的灵敏度和特异性分别为96.8%和92.3%。用INSM1 (MRQ-70)抗体染色的肺肿瘤病例也有类似的结果,敏感性为94.9%,特异性为94.1%。相比之下,抗铬粒蛋白A (LK2H10)抗体和CD56 (MRQ-42)抗体的敏感性明显较低。抗嗜铬粒蛋白A (LK2H10)抗体的敏感性为78.7%,CD56 (MRQ-42)抗体的敏感性为85.4%。然而,抗chromogranin A (LK2H10)抗体和CD56 (MRQ-42)抗体的特异性与INSM1 (SP493)抗体的特异性相当[抗chromogranin A (LK2H10)抗体特异性为91.7%,CD56 (MRQ-42)抗体特异性为90.4%]。抗synaptophysin (SP11)抗体表现不佳,敏感性为82.9%,特异性为87.6%。结论:总的来说,我们的数据表明,使用新开发的INSM1 (SP493)抗体的免疫组化检测在识别原发性神经内分泌肺肿瘤方面具有高度特异性和敏感性。
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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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