细胞角蛋白17在口腔鳞癌组织中表达的免疫组化评价

IF 0.2
Dr. Ankita Gyanchandani, Dr. Samarth Shukla, None Dr. RavindraKadu
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引用次数: 0

摘要

口腔鳞状细胞癌(OSCC)占口腔所有恶性肿瘤的80-90%,是最常见的口腔癌类型。免疫组织化学在诊断病理中起着至关重要的作用,它有助于肿瘤的识别和分类。免疫组化用于研究特定蛋白的分布和定位。鉴别oscc的诊断标记对于早期诊断和患者特异性治疗至关重要。细胞角蛋白(CK)是一个主要在上皮细胞中表达的中间丝状蛋白家族。本研究旨在评价50例镜检证实的OSCC中细胞角蛋白17的免疫组化表达。本研究为观察性研究,采用回顾性和前瞻性抽样。这项研究进行了两年,从2020年到2022年。本研究旨在通过免疫组化检测CK 17的表达,并将CK 17的表达与OSCC的Broders分级和其他临床病理参数联系起来。对ck17进行免疫染色。统计学分析采用卡方检验。在本研究中,CK 17的表达与Broders分级有显著相关性,而CK 17与其他临床病理参数的相关性不显著。结果表明,细胞角化蛋白17的表达可能与broders分级相关,从而有助于早期发现和更准确地确定肿瘤的侵袭性,从而确定适当的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immunohistochemical Evaluation of Cytokeratin 17 Expression in Oral Squamous Cell Carcinoma
Oral squamous cell carcinoma (OSCC), which makes up 80–90% of all malignant neoplasms of the mouth, is the mostcommon type of oral cancer. Immunohistochemistry plays a crucial role in diagnostic pathology by aiding in identifying andclassifying tumors IHC is utilized to study the distribution and localization of specific proteins. Identifying diagnostic markers forOSCC is essential for early diagnosis and patient-specific treatment. Cytokeratins (CK) are a family of intermediate filamentspredominantly expressed in epithelial cells. The study aimed to evaluate immunohistochemical expression cytokeratin 17 in 50cases of microscopically confirmed OSCC. The present study was observational, with retrospective and prospective sampling.The study was carried out for two years, from 2020 to 2022. The present study was designed to determine CK 17 expressionby IHC and to correlate CK 17 expression with Broders grading of OSCC and other clinical pathologic parameters.Immunostaining for CK 17 was performed. The statistical analysis was done by chi-square test. In this study, there was asignificant correlation between CK 17 expression and Broders grading, and CK 17, when correlated with other clinic pathologicparameters, showed no significant correlation. It was concluded that Cytokeratin17 expression could correlate with theBroders' Grading, thus contributing to early detection and more accurate determination of tumor aggressiveness to determineappropriate therapy.
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