Suppr超能文献

皮肤附属器肿瘤中雄激素受体的表达:一项免疫组织化学研究。

Expression of androgen receptors in skin appendage tumors: an immunohistochemical study.

作者信息

Shikata N, Kurokawa I, Andachi H, Tsubura A

机构信息

Department of Pathology, Kansai Medical University, Osaka, Japan.

出版信息

J Cutan Pathol. 1995 Apr;22(2):149-53. doi: 10.1111/j.1600-0560.1995.tb01398.x.

Abstract

Androgen receptor (AR) expression was examined in normal skin and in 52 cases of various skin appendage tumors using a monoclonal antibody (F39.4.1) raised against the N-terminal domain of human AR. Microwave oven heating in citrate buffer solution followed by immunostaining with the labeled streptavidin biotin (LSAB) method was applied to formalin-fixed paraffin-embedded sections. Immunoreactive AR was restricted to the nuclei. In normal skin, AR was consistently localized in seboblasts and in some differentiated sebocytes, and variable expression was seen in luminal epithelial cells of eccrine and apocrine glands in the secretory portion. Hair follicles and epidermis showed no reactivity. In sweat gland tumors, AR was identified focally in inner layer cells of the tubuloglandular component of ten of thirteen chondroid syringomas but the remaining tumors were nonreactive. In sebaceous gland tumors, benign tumors with mature sebaceous elements (sebaceous nevi and sebaceous adenomas) showed AR expression, but the sebaceous epitheliomas and sebaceous carcinomas lost their expression. No AR expression was observed in hair follicle tumors, except in AR-positive mature sebaceous glands incorporated into the cyst wall of steatocystomas.

摘要

使用针对人雄激素受体(AR)N端结构域产生的单克隆抗体(F39.4.1),检测正常皮肤及52例各种皮肤附属器肿瘤中AR的表达情况。对于福尔马林固定石蜡包埋切片,采用柠檬酸盐缓冲溶液微波加热,随后用标记链霉亲和素生物素(LSAB)法进行免疫染色。免疫反应性AR局限于细胞核。在正常皮肤中,AR始终定位于成脂细胞和一些分化的皮脂腺细胞,在分泌部的小汗腺和大汗腺的管腔上皮细胞中可见不同程度的表达。毛囊和表皮无反应性。在汗腺肿瘤中,13例软骨样汗管瘤中有10例的管状腺成分内层细胞局部检测到AR,但其余肿瘤无反应性。在皮脂腺肿瘤中,具有成熟皮脂腺成分的良性肿瘤(皮脂腺痣和皮脂腺腺瘤)显示AR表达,但皮脂腺上皮瘤和皮脂腺癌失去AR表达。除了并入皮脂腺囊肿囊壁的AR阳性成熟皮脂腺外,在毛囊肿瘤中未观察到AR表达。

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