Suppr超能文献

髓外髓样肿瘤(粒细胞肉瘤)常被误诊:一项26例病例的研究。

Extra-medullary myeloid tumour (granulocytic sarcoma) is often misdiagnosed: a study of 26 cases.

作者信息

Menasce L P, Banerjee S S, Beckett E, Harris M

机构信息

Department of Histopathology, Christie Hospital, Manchester, UK.

出版信息

Histopathology. 1999 May;34(5):391-8. doi: 10.1046/j.1365-2559.1999.00651.x.

Abstract

AIMS

To describe the clinicopathological and immunophenotypic features of 26 cases of extra-medullary myeloid tumour (EMMT)/granulocytic sarcoma, which remains poorly recognized and is frequently confused with malignant lymphoma, and to discuss the main diagnostic problems experienced by the referring pathologist.

METHODS AND RESULTS

Haematoxylin and eosin (H & E) sections of 26 cases of EMMT were re-examined. Immunostains for myeloperoxidase, lysozyme, neutrophil elastase, LCA, CD79a, CD20, CD43, CD45RO, CD3, CD30, CD15, CD68, MAC387, VS38C, MIC2, and the Leder stain for naphthol-ASD-chloroacetate esterase were performed on all cases. Clinical and follow-up data were obtained through a questionnaire to the referring pathologist or from the notes of the patients where available. In the 10 cases with known myeloproliferative disease, the initial diagnosis was correct in 10 whereas all cases presenting with EMMT without a previous history of myeloproliferative disorder had an initial incorrect diagnosis. The most common suggested diagnosis was that of a non-Hodgkin's lymphoma. The morphology of the tumours varied from well differentiated which included all stages of myeloid differentiation to poorly differentiated or blastic showing little or no evidence of myeloid differentiation. The proportion of positive cells for each stain varied. Chloroacetate esterase, myeloperoxidase and CD15 stained a large proportion of cells of the majority of the well differentiated tumours and a smaller proportion of the poorly differentiated/blastic tumours with very focal staining of some of the cases. Lysozyme and CD43 were the most sensitive of the markers staining a large proportion of cells of the majority of the tumours in both groups. Neutrophil elastase was the least sensitive of the markers of myeloid differentiation. CD79a, CD20, CD3 and CD30 were negative in all cases. CD43 was positive in all cases. CD68 stained a substantial number of cells in the majority of tumours. A smaller proportion of the tumours stained with MAC387. Four of the tumours showed positivity for MIC2. One tumour was positive for VS38C.

CONCLUSION

This series documents continuing difficulties in the diagnosis of EMMT. Even well differentiated tumours are frequently mistakenly diagnosed as malignant lymphomas when they present without any history of antecedent myeloproliferative disorder. Careful evaluation of morphology for evidence of myeloid differentiation and a high index of suspicion when confronted with a less differentiated neoplasm are required to avoid this important diagnostic error. We suggest that a panel which includes chloroacetate-esterase, myeloperoxidase, lysozyme and CD43, together with other B- and T-lineage markers, in particular CD79a and CD3 should be used to confirm the diagnosis.

摘要

目的

描述26例髓外髓样肿瘤(EMMT)/粒细胞肉瘤的临床病理及免疫表型特征(EMMT仍未得到充分认识,且常与恶性淋巴瘤混淆),并讨论送检病理学家遇到的主要诊断问题。

方法与结果

对26例EMMT的苏木精和伊红(H&E)切片进行重新检查。对所有病例进行髓过氧化物酶、溶菌酶、中性粒细胞弹性蛋白酶、LCA、CD79a、CD20、CD43、CD45RO、CD3、CD30、CD15、CD68、MAC387、VS38C、MIC2免疫染色,以及萘酚-ASD-氯乙酸酯酶的Leder染色。通过向送检病理学家发放问卷或从患者病历中获取临床及随访数据(如有)。在10例已知骨髓增殖性疾病的病例中,10例初始诊断正确,而所有无骨髓增殖性疾病病史而以EMMT就诊的病例初始诊断均错误。最常被建议的诊断是非霍奇金淋巴瘤。肿瘤形态各异,从包括髓系分化各阶段的高分化型到低分化或母细胞型,后者几乎没有或没有髓系分化的证据。每种染色的阳性细胞比例各不相同。氯乙酸酯酶、髓过氧化物酶和CD15在大多数高分化肿瘤的大部分细胞中染色,在低分化/母细胞型肿瘤中染色比例较小,部分病例呈局灶性染色。溶菌酶和CD43是最敏感的标志物,在两组大多数肿瘤的大部分细胞中染色。中性粒细胞弹性蛋白酶是髓系分化标志物中最不敏感的。CD79a、CD20、CD3和CD30在所有病例中均为阴性。CD43在所有病例中均为阳性。CD68在大多数肿瘤中染色大量细胞。较小比例的肿瘤用MAC387染色。4例肿瘤对MIC2呈阳性。1例肿瘤对VS38C呈阳性。

结论

本系列病例证明EMMT诊断仍存在困难。即使是高分化肿瘤,在无既往骨髓增殖性疾病病史的情况下出现时,也常被误诊为恶性淋巴瘤。需要仔细评估形态学以寻找髓系分化的证据,并且在面对低分化肿瘤时保持高度怀疑,以避免这一重要的诊断错误。我们建议使用一个包括氯乙酸酯酶、髓过氧化物酶、溶菌酶和CD43以及其他B和T细胞系标志物(特别是CD79a和CD3)的组合来确诊。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验