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Analysis of Immunohistochemical Expression of K19 in Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma Using Color Deconvolution-Image Analysis Method

机译:彩色反卷积-图像分析法分析口腔上皮异常增生和口腔鳞状细胞癌中K19的免疫组织化学表达

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K19 is an intermediate filament protein that has been investigated in oral squamous cell carcinoma (OSCC), but that has not been correlated with the amount of keratin produced within well-differentiated OSCC grade. The aim of the present study was to objectively analyze K19 immunoexpression in OSCC and to validate the utility of K19 in differentiation among grades of oral epithelial dysplasia (OED). Formalin-fixed tissues of 36 primary OSCC (22 well, 10 moderately, 4 poorly differentiated), 43 OED (23 mild, 8 moderate, 12 severe), and 11 normal oral epithelium (NOE) were included. K19 was immunostained using HRP-DAB method. The percentage of K19-positive area was found using color deconvolution program in ImageJ® image analysis system (public domain software, National Institutes of Health, Bethesda, MD, USA) and analyzed using independent samples t tests and ANOVA test. K19 scores in NOE, mild, moderate and severe OED were: 1.8, 3.4, 21, and 50.3%, respectively, with significant association with the grade (t test P 0.05). Well-differentiated OSCC with 30% keratin pearl formation expressed significantly higher K19 scores compared to well-differentiated OSCC with 30% keratin pearls (28.6 and 1.2%, respectively, P 0.05). K19 scores in moderately and poorly differentiated OSCC were 60.8 and 61.3%, respectively. K19 scores significantly differentiated between two subgroups of tumors within well-differentiated OSCC grade and reflected histologic differentiation as well as probably predicting the clinical outcome. Combining K19 immunostain with the regular H&E stain may be helpful to facilitate and assure assigning a more accurate grade for OED.
机译:K19是一种中间丝蛋白,已在口腔鳞状细胞癌(OSCC)中进行了研究,但与高分化OSCC等级中产生的角蛋白数量无关。本研究的目的是客观分析OSCC中的K19免疫表达,并验证K19在口腔上皮异型增生(OED)等级之间的区分中的效用。福尔马林固定的组织包括36例原发性OSCC(22例,中度10例,分化程度低4例),43例OED(23例轻度,8例中度,12例严重)和11例正常口腔上皮(NOE)。使用HRP-DAB方法对K19进行免疫染色。使用ImageJ®sups图像分析系统(公共领域软件,美国国立卫生研究院,贝塞斯达,马里兰州,美国)中的颜色反卷积程序找到K19阳性区域的百分比,并使用独立样本t检验和ANOVA检验进行分析。 NOE,轻度,中度和重度OED的K19评分分别为:1.8%,3.4%,21%和50.3%,与年级显着相关(t检验P <0.05)。与角蛋白珠> 30%的高分化OSCC相比,角蛋白珠<30%的高分化OSCC显着更高的K19评分(分别为28.6和1.2%,P <0.05)。中低分化OSCC的K19评分分别为60.8%和61.3%。在OSCC分级完全不同的两个肿瘤亚组之间,K19评分有显着差异,反映出组织学差异,也可能预测了临床结局。将K19免疫染色与常规H&E染色相结合可能有助于促进和确保为OED分配更准确的等级。

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