Kaymaz Esin, Ozer Elif, Unverdi Hatice, Hucumenoglu Sema
Department of Pathology, Bülent Ecevit University Hospital, Zonguldak, Turkey.
Department of Pathology, Ankara Education and Research Hospital, Ankara, Turkey.
Indian J Pathol Microbiol. 2017 Oct-Dec;60(4):510-514. doi: 10.4103/IJPM.IJPM_204_16.
The aim of this study was to investigate the usability of MUC1 and p53 for differential diagnosis of noninvasive papillary urothelial neoplasias, especially for distinguishing papillary urothelial neoplasm of low malignant potential (PUNLMP) from low-grade papillary urothelial carcinoma (LGPUC) when the histologic signs are not obvious.
Seventeen biopsy specimens of the patients with PUNLMP, 20 with LGPUC and 13 with high-grade papillary urothelial carcinoma (HGPUC) were stained for MUC1 and p53 protein by immunohistochemical methods. Histological grading was performed according to an algorithm, which allows histological parameters used in 2004 WHO/ISUP 1998.
We had obvious statistical difference for aberrant expression pattern of MUC1 between PUNLMP and LGPUC-HGPUC (P = 0.007). Positivity of MUC1 expression in cytoplasm of basal cells was more observed in HGPUC and LGPUC, whereas PUNLMP was more often showing apical and superficial positivity of MUC1 expression (P = 0.001 and 0.011). Nuclear p53 protein in HGPUC was obviously more frequent than that in LGPUC and PUNLMP (P < 0.001). Measures showed statistical difference among aberrant MUC1 expression, p53 overexpression, and tumor grade (P < 0.001).
MUC1 and p53 may be helpful immunohistochemical markers for distinguishing PUNLMP from LGPUC and HGPUC, when the histologic signs are not obvious.
本研究旨在探讨MUC1和p53在非侵袭性乳头状尿路上皮肿瘤鉴别诊断中的实用性,尤其是在组织学特征不明显时,用于区分低恶性潜能乳头状尿路上皮肿瘤(PUNLMP)和低级别乳头状尿路上皮癌(LGPUC)。
采用免疫组化方法对17例PUNLMP患者、20例LGPUC患者和13例高级别乳头状尿路上皮癌(HGPUC)患者的活检标本进行MUC1和p53蛋白染色。根据一种算法进行组织学分级,该算法采用了2004年WHO/ISUP 1998版中使用的组织学参数。
PUNLMP与LGPUC-HGPUC之间MUC1异常表达模式存在明显统计学差异(P = 0.007)。HGPUC和LGPUC中更常观察到基底细胞胞质中MUC1表达阳性,而PUNLMP更常表现为MUC1表达的顶端和浅表阳性(P = 0.001和0.011)。HGPUC中核p53蛋白明显比LGPUC和PUNLMP更常见(P < 0.001)。各项指标显示MUC1异常表达、p53过表达和肿瘤分级之间存在统计学差异(P < 0.001)。
当组织学特征不明显时,MUC1和p53可能是区分PUNLMP与LGPUC和HGPUC的有用免疫组化标志物。