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Rb1、cyclin D1 和 p16 免疫组化表达的比较研究,以区分肺小细胞癌和大细胞神经内分泌癌。

Comparative study of Rb1, cyclin D1 and p16 immunohistochemistry expression to distinguish lung small-cell carcinoma and large-cell neuroendocrine carcinoma.

机构信息

Medical Oncology, Agios Savvas Anticancer Hospital, Athina, Greece.

Department of Thoracic Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.

出版信息

Histopathology. 2022 Aug;81(2):205-214. doi: 10.1111/his.14679. Epub 2022 May 27.

Abstract

AIMS

Large-cell neuroendocrine carcinoma (LCNEC) and small-cell carcinoma (SCLC) of lung encompass high-grade neuroendocrine tumour category and share several fundamental features. As both tumours may respond to different treatment modalities and show unique molecular alterations distinction between the two is clinically relevant, but can be challenging due to sampling and fixation issues and shared morphological features.

METHODS

Surgically resected primary SCLC (n = 129) and LCNEC (n = 27) were immunohistochemically stained with Rb1, cyclin D1 and p16 using tissue microarray (TMA), and expression patterns of the proteins were compared between the two to identify the discriminatory pattern.

RESULTS

All markers had high diagnostic accuracy; Rb1 was the highest followed by p16 and cyclin D1. The majority of SCLC had the pattern Rb1-/p16+/cyclin D1- and more than half of LCNEC had Rb1+/p16-/cyclin D1+. Overall, the expression pattern Rb1- and cyclin D1- was strongly associated with the diagnosis of SCLC, while the pattern Rb1+ and/or cyclin D1+ was strongly associated with LCNEC. The use of this simplified expression pattern leads to a diagnostic accuracy of 97.3%. p16 did not add to further discrimination. The heterogeneity in Rb1, cyclin D1 and p16 expression was insignificant in SCLCs compared with LCNECs.

CONCLUSIONS

Use of Rb1, cyclin D1 and p16 immunohistochemistry can distinguish the two with high accuracy. Notably, the Rb1-/cyclin D1- pattern in given tumour sample would confirm the diagnosis of SCLC. Our results could be extrapolated and applied to routine diagnostic samples such as biopsies and cytology samples.

摘要

目的

肺大细胞神经内分泌癌(LCNEC)和小细胞癌(SCLC)属于高级别神经内分泌肿瘤范畴,具有许多共同的基本特征。由于这两种肿瘤可能对不同的治疗方式有反应,并表现出独特的分子改变,因此区分两者在临床上是相关的,但由于取样和固定问题以及共同的形态特征,这可能具有挑战性。

方法

使用组织微阵列(TMA)对 129 例手术切除的原发性 SCLC 和 27 例 LCNEC 进行 Rb1、cyclin D1 和 p16 的免疫组织化学染色,并比较两种肿瘤的蛋白表达模式,以确定鉴别模式。

结果

所有标志物均具有较高的诊断准确性;Rb1 的诊断准确性最高,其次是 p16 和 cyclin D1。大多数 SCLC 的表达模式为 Rb1-/p16+/cyclin D1-,超过一半的 LCNEC 的表达模式为 Rb1+/p16-/cyclin D1+。总体而言,Rb1-和 cyclin D1-的表达模式强烈提示 SCLC 的诊断,而 Rb1+和/或 cyclin D1+的表达模式强烈提示 LCNEC 的诊断。使用这种简化的表达模式,诊断准确率达到 97.3%。p16 并不能进一步提高诊断的准确性。与 LCNEC 相比,SCLC 中 Rb1、cyclin D1 和 p16 的表达异质性不显著。

结论

使用 Rb1、cyclin D1 和 p16 的免疫组化染色可以高度准确地区分这两种肿瘤。值得注意的是,在给定的肿瘤样本中,如果存在 Rb1-/cyclin D1-的表达模式,则可以确认 SCLC 的诊断。我们的研究结果可以外推并应用于常规诊断样本,如活检和细胞学样本。

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