Hedayati Maryam, Garousi Behzad, Rezaei Zahrasadat, Nazerian Yasaman, Yassaghi Younes, Tavasol Arian, Zanjanbar Dorsa Bahrami, Sharifpour Sanaz, Golestani Amir, Bolideei Mansoor, Maleki Farajolah
Zhejiang University School of Medicine, Hangzhou, China.
Department of Pathology, Karolinska Institute, Stockholm, Sweden.
Dermatol Pract Concept. 2024 Apr 1;14(2):e2024047. doi: 10.5826/dpc.1402a47.
Keratoacanthoma (KA) and squamous cell carcinoma (SCC) are two cutaneous conditions with morphological resemblance, which can complicate the diagnosis in some cases. Using immunohistochemistry staining of biomarkers could be beneficial in resolving this obstacle.
We investigated a variety of biomarkers assessed in different studies in order to find the most important and helpful biomarkers for differentiation between SCC and lesions capable of spontaneous regression.
MEDLINE via PubMed and Google Scholar database were used to identify relevant literature up to 15 June 2022. The aim of our analyses was to determine the capability of biomarkers to distinguish between SCC and lesions capable of spontaneous regression using calculated individual and pooled odds ratios (OR) and 95% confidence intervals (CI) and I tests.
Six potential biomarkers were CD10 with pooled OR= 0.006 (95% CI: 0.001-0.057) and I=0%; COX-2 with pooled OR=0.089 (95% CI: 0.029-0.269) and I=17.1%; elastic fibers with pooled OR= 6.69 (95% CI: 2.928-15.281) and I=0%; IMP-3 with pooled OR=0.145 (95% CI: 0.021-1.001) and I=44.5%; P53 with pooled OR=0.371 (95% CI: 0.188-0.733) and I=55.9%; AT1R with OR=0.026 (95% CI: 0.006-0.107).
We suggest the utilization of the following IHC biomarkers for discrimination between lesions with spontaneous regression such as KA and SCC: CD10, COX-2, and elastic fibers.
角化棘皮瘤（KA）和鳞状细胞癌（SCC）是两种形态相似的皮肤疾病，在某些情况下会使诊断变得复杂。使用生物标志物的免疫组织化学染色可能有助于解决这一障碍。
我们研究了不同研究中评估的多种生物标志物，以寻找区分SCC和能够自发消退的病变的最重要且有用的生物标志物。
通过PubMed和谷歌学术数据库检索截至2022年6月15日的相关文献。我们分析的目的是使用计算出的个体和合并比值比（OR）、95%置信区间（CI）和I检验来确定生物标志物区分SCC和能够自发消退的病变的能力。
六种潜在的生物标志物分别为：CD10，合并OR = 0.006（95% CI：0.001 - 0.057），I = 0%；COX - 2，合并OR = 0.089（95% CI：0.029 - 0.269），I = 17.1%；弹性纤维，合并OR = 6.69（95% CI：2.928 - 15.281），I = 0%；IMP - 3，合并OR = 0.145（95% CI：0.021 - 1.001），I = 44.5%；P53，合并OR = 0.371（95% CI：0.188 - 0.733），I = 55.9%；AT1R，OR = 0.026（95% CI：0.006 - 0.107）。
我们建议使用以下免疫组织化学生物标志物来区分如KA等能够自发消退的病变和SCC：CD10、COX - 2和弹性纤维。
