Chan Aegean H, Shulman Kenneth J, Lee Bonnie A
Division of Dermatology, Albert Einstein College of Medicine, Bronx, New York.
Dermpath Diagnostics, Port Chester, New York.
J Cutan Pathol. 2017 Apr;44(4):338-341. doi: 10.1111/cup.12879. Epub 2017 Feb 2.
Distinguishing regressed lichen planus-like keratosis (LPLK) from regressed melanoma can be difficult on histopathologic examination, potentially resulting in mismanagement of patients.
We aimed to identify histopathologic features by which regressed melanoma can be differentiated from regressed LPLK.
Twenty actively inflamed LPLK, 12 LPLK with regression and 15 melanomas with regression were compared and evaluated by hematoxylin and eosin staining as well as Melan-A, microphthalmia transcription factor (MiTF) and cytokeratin (AE1/AE3) immunostaining.
(1) A total of 40% of regressed melanomas showed complete or near complete loss of melanocytes within the epidermis with Melan-A and MiTF immunostaining, while 8% of regressed LPLK exhibited this finding. (2) Necrotic keratinocytes were seen in the epidermis in 33% regressed melanomas as opposed to all of the regressed LPLK. (3) A dense infiltrate of melanophages in the papillary dermis was seen in 40% of regressed melanomas, a feature not seen in regressed LPLK.
In summary, our findings suggest that a complete or near complete loss of melanocytes within the epidermis strongly favors a regressed melanoma over a regressed LPLK. In addition, necrotic epidermal keratinocytes and the presence of a dense band-like distribution of dermal melanophages can be helpful in differentiating these lesions.
在组织病理学检查中,区分消退性扁平苔藓样角化病(LPLK)和消退性黑色素瘤可能具有挑战性,这可能导致对患者的管理不当。
我们旨在确定可用于区分消退性黑色素瘤和消退性LPLK的组织病理学特征。
对20例活动性炎症性LPLK、12例有消退的LPLK和15例有消退的黑色素瘤进行苏木精-伊红染色以及Melan-A、小眼畸形转录因子(MiTF)和细胞角蛋白(AE1/AE3)免疫染色,进行比较和评估。
(1)在Melan-A和MiTF免疫染色中,共有40%的消退性黑色素瘤显示表皮内黑素细胞完全或几乎完全丧失,而8%的消退性LPLK有此表现。(2)33%的消退性黑色素瘤表皮可见坏死角质形成细胞,而所有消退性LPLK均未见。(3)40%的消退性黑色素瘤乳头真皮可见密集的噬黑素细胞浸润,这一特征在消退性LPLK中未见。
总之,我们的研究结果表明,表皮内黑素细胞完全或几乎完全丧失强烈提示为消退性黑色素瘤而非消退性LPLK。此外,坏死的表皮角质形成细胞以及真皮噬黑素细胞呈密集带状分布有助于区分这些病变。