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使用带有新型免疫组织化学分析插件的ImageJ分析验证口腔癌前组织和癌组织中肌腱蛋白-C的免疫表达:一项免疫组织化学定量分析。

Validation of immunoexpression of tenascin-C in oral precancerous and cancerous tissues using ImageJ analysis with novel immunohistochemistry profiler plugin: An immunohistochemical quantitative analysis.

作者信息

Mane Deepa Rajesh, Kale Alka D, Belaldavar Chetan

机构信息

Department of Oral Pathology and Microbiology, KLE University, KLE VK Institute of Dental Sciences, Belgaum, Karnataka, India.

出版信息

J Oral Maxillofac Pathol. 2017 May-Aug;21(2):211-217. doi: 10.4103/jomfp.JOMFP_234_16.

Abstract

BACKGROUND

Immunohistochemistry (IHC) is a molecular technique that has grown tremendously over the years. However, the assessment is only qualitative which is subjective and causes errors. Due to this limitation, several excellent markers have not gained importance and reached clinical trials. Hence, we aimed to quantify IHC by ImageJ analysis with a novel IHC profiler plugin. ImageJ has not been tried in oral precancerous tissues with minimal attempt for matrix markers.

AIM

This study aimed to validate the quantification of immunoexpression of tenascin-C (TN-C) in oral precancerous tissues and oral squamous cell carcinoma (OSCC) using ImageJ software with IHC profiler plugin.

MATERIALS AND METHODS

After IHC staining for TN-C and image acquisition, ImageJ analysis was performed as per the standard recommended algorithm. Assessment was done by two observers by blinding the histopathological diagnosis. The immunoscore was assessed for interobserver variability using Kohen's kappa statistics.

RESULTS

All our cases were in agreement and found to be statistically significant with < 0.005. Moderate agreement was for mild dysplasia, moderate dysplasia and oral lichen planus. Substantial agreement was for oral submucous fibrosis and OSCC and almost perfect agreement noted for cases of severe dysplasia.

CONCLUSION

IHC can now be quantified using freely downloadable software ImageJ analysis in oral precancerous tissues and OSCC. This software with good threshold control can quantify matrix marker such as TN-C. Hence, herewith, we propose that IHC markers should be quantified using ImageJ by our entire oral pathology fraternity so as to have a standard immunoscore for all markers.

摘要

背景

免疫组织化学(IHC)是一项近年来发展迅速的分子技术。然而,其评估仅为定性,具有主观性且会导致误差。由于这一局限性,一些优秀的标志物未能得到重视,也未进入临床试验阶段。因此,我们旨在通过使用新型免疫组织化学分析器插件的ImageJ分析对免疫组织化学进行量化。此前在口腔癌前组织中尚未尝试过使用ImageJ,对基质标志物的尝试也很少。

目的

本研究旨在使用带有免疫组织化学分析器插件的ImageJ软件,验证口腔癌前组织和口腔鳞状细胞癌(OSCC)中肌腱蛋白-C(TN-C)免疫表达的量化情况。

材料与方法

对TN-C进行免疫组织化学染色并采集图像后,按照标准推荐算法进行ImageJ分析。由两名观察者在不了解组织病理学诊断结果的情况下进行评估。使用科恩kappa统计量评估观察者间变异性的免疫评分。

结果

我们所有的病例结果一致,且发现具有统计学意义,P<0.005。轻度发育异常、中度发育异常和口腔扁平苔藓的一致性为中等。口腔黏膜下纤维化和OSCC的一致性为实质性,重度发育异常病例的一致性几乎达到完美。

结论

现在可以使用可免费下载的ImageJ软件对口腔癌前组织和OSCC中的免疫组织化学进行量化。该软件具有良好的阈值控制,可对TN-C等基质标志物进行量化。因此,我们在此提议,整个口腔病理学领域应使用ImageJ对免疫组织化学标志物进行量化,以便为所有标志物建立标准免疫评分。

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