SMARCB1 (INI1)缺陷鼻窦癌伴卵黄囊肿瘤分化1例报告及文献复习

IF 0.1 Q4 PATHOLOGY
Sarah E Gradecki, Sarah Kelting, E. Stelow
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引用次数: 1

摘要

摘要SMARCB1 (INI1)缺陷型鼻窦癌是近年来发现的一种少见且具有侵袭性临床行为的鼻窦炎原发肿瘤。典型的ini1缺陷型鼻窦癌的组织病理学表现包括单形态基底样细胞的片状和巢状。不同数量的横纹肌和腺分化已被报道。这种病变的诊断可能具有挑战性,因为与其他鼻窦原发病变(包括基底样细胞癌和其他非角化鳞状细胞癌、鼻窦未分化癌和新发现的brg1缺陷鼻窦癌等)存在显著的形态学和免疫组化重叠。最近,在多篇ini1缺陷鼻窦癌的报道中描述了卵黄囊肿瘤(YST)样分化,这扩大了该病变的组织学范围及其鉴别诊断。虽然原发性YST和INI1缺陷鼻窦癌伴YST分化存在明显的免疫表型重叠,但免疫组化未见YST中INI1表达缺失。INI1免疫组化是鉴别INI1缺陷鼻窦癌的一种敏感而特异的标志物,病理学家在对具有多种组织学特征的肿瘤进行这项检测时应具有较低的阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMARCB1 (INI1)–Deficient Sinonasal Carcinoma With Yolk Sac Tumor Differentiation: Case Report and Review of the Literature
Abstract SMARCB1 (INI1)–deficient sinonasal carcinoma is a recently described primary neoplasm of the sinonasal tract that occurs infrequently and displays aggressive clinical behavior. Classic histopathologic findings of INI1-deficient sinonasal carcinoma include sheets and nests of basaloid tumors cells with a monomorphic appearance. Variable amounts of rhabdoid and glandular differentiation have been reported. Diagnosis of this lesion can be challenging because of significant morphologic and immunohistochemical overlap between other primary lesions of the sinonasal tract, including basaloid and other nonkeratinizing squamous cell carcinomas, sinonasal undifferentiated carcinoma, and the newly described BRG1-deficient sinonasal carcinoma, among others. Recently, yolk sac tumor (YST)–like differentiation has been described in multiple reports of INI1-deficient sinonasal carcinoma, which expands both the histologic spectrum of this lesion and its differential diagnosis. Although there is significant immunophenotypic overlap between primary YST and INI1-deficient sinonasal carcinoma with YST differentiation, loss of INI1 expression by immunohistochemistry is not seen in YST. INI1 immunohistochemistry is a sensitive and specific marker for identifying INI1-deficient sinonasal carcinoma, and pathologists should have a low threshold for performing this test on tumors with a myriad of histologic features.
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