Safdarjung Hospital Campus, National Institute of Pathology (ICMR), Room 602, 6th floor, New Delhi, 110029, India.
Pathol Oncol Res. 2012 Apr;18(2):383-9. doi: 10.1007/s12253-011-9456-x. Epub 2011 Sep 10.
The aim of this study is to identify immunohistochemical (IHC) markers that can reliably separate schwannoma (SCHW) and fibroblastic meningioma (FM). We selected 106 cases of intracranial SCHW (n = 56) and FM (n = 50) and constructed a tissue microarray (TMA) of core diameter of 1.0 mm from archival formalin-fixed paraffin-embedded tissue. A TMA-IHC was performed using 14 antibodies. After IHC staining, 98 cores were found suitable for evaluation. The IHC staining was scored as 0-2+ (0, negative; 1+, weak and/or focal 2+ strong and/or diffuse positive). A discriminant analysis (DA) (Wilks'Lambda test) was performed to assess the relative importance of these biomarkers in classifying the two groups FM and SCHW. It showed that WT-1 (Wilks'λ 0.085, p < 0.001), EMA (Wilks'λ 0.253, p < 0.001), S100 (Wilks'λ 0.487, p < 0.001), Claudin-1 (Wilks' λ 0.57, p < 0.001) and Ezrin (Wilks'λ 0.656, p < 0.001), SPARC (Wilks'λ 0.751, p < 0.01), NP-Y (Wilks'λ, 0.819, p < 0.001) and EGFR (Wilks'λ 0.845, p = 0.026) were some of the statistically significant markers that discriminated SCHW and FM. For sensitivity and specificity for SCHW the significant markers [Area under the curve (95% CI), p-value] by ROC analysis were WT-1 [0.990(0.000, 1.000), <0.001], S100 [0.880(0.808, 0.951), <0.001] while for diagnosing FM the most sensitive and specific markers were EMA [0.957(0.914, 1.000), <. 001], Claudin-1 [0.857(0.782, 0.932), <0.001] and ezrin [0.792(0.700,0.884),<0.001]. WT-1, Claudin-1 and Ezrin may be potentially useful immunohistochemical adjuncts to EMA and S100 that differentiate SCHW from FM.
本研究旨在确定免疫组织化学（IHC）标志物，以可靠地区分神经鞘瘤（SCHW）和纤维母细胞瘤（FM）。我们选择了 106 例颅内 SCHW（n=56）和 FM（n=50），并从存档的福尔马林固定石蜡包埋组织中构建了直径为 1.0mm 的组织微阵列（TMA）。使用 14 种抗体进行了 TMA-IHC。IHC 染色后，发现 98 个核心适合评估。IHC 染色评分 0-2+（0，阴性；1+，弱和/或局灶性 2+，强和/或弥漫性阳性）。进行判别分析（DA）（Wilks'Lambda 检验）以评估这些生物标志物在分类 FM 和 SCHW 两组中的相对重要性。结果表明，WT-1（Wilks'λ 0.085，p<0.001）、EMA（Wilks'λ 0.253，p<0.001）、S100（Wilks'λ 0.487，p<0.001）、Claudin-1（Wilks'λ 0.57，p<0.001）和 Ezrin（Wilks'λ 0.656，p<0.001）、SPARC（Wilks'λ 0.751，p<0.01）、NP-Y（Wilks'λ，0.819，p<0.001）和 EGFR（Wilks'λ 0.845，p=0.026）是区分 SCHW 和 FM 的一些具有统计学意义的标志物。ROC 分析显示，用于 SCHW 的敏感性和特异性的有意义标志物 [曲线下面积（95%CI），p 值]为 WT-1 [0.990（0.000，1.000），<0.001]，S100 [0.880（0.808，0.951），<0.001]，而用于诊断 FM 的最敏感和最特异的标志物为 EMA [0.957（0.914，1.000），<0.001]、Claudin-1 [0.857（0.782，0.932），<0.001]和 Ezrin [0.792（0.700，0.884），<0.001]。WT-1、Claudin-1 和 Ezrin 可能是有助于区分 SCHW 和 FM 的 EMA 和 S100 的有用的免疫组织化学辅助手段。
