单位:[1]Zhejiang University School of Medicine, Hangzhou, China.[2]Department of Pathology, Karolinska Institute, Stockholm, Sweden.[3]School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.[4]Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.[5]Pharmaceutical Science Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.[6]Islamic Azad University Tehran Medical Branch, Tehran, Iran.[7]Students Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.[8]The Center for Biomedical Research, Ministry of Education and Ministry of Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, China.科研平台生物医学研究中心生物医学中心华中科技大学同济医学院附属同济医院[9]Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran.
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 I2 tests.Six potential biomarkers were CD10 with pooled OR= 0.006 (95% CI: 0.001-0.057) and I2=0%; COX-2 with pooled OR=0.089 (95% CI: 0.029-0.269) and I2=17.1%; elastic fibers with pooled OR= 6.69 (95% CI: 2.928-15.281) and I2=0%; IMP-3 with pooled OR=0.145 (95% CI: 0.021-1.001) and I2=44.5%; P53 with pooled OR=0.371 (95% CI: 0.188-0.733) and I2=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.
语种:
外文
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类|4 区医学
小类|4 区皮肤病学
最新[2025]版:
大类|4 区医学
小类|4 区皮肤病学
第一作者:
第一作者单位:[1]Zhejiang University School of Medicine, Hangzhou, China.
推荐引用方式(GB/T 7714):
Hedayati Maryam,Garousi Behzad,Rezaei Zahrasadat,et al.Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis[J].Dermatology Practical & Conceptual.2024,14(2):doi:10.5826/dpc.1402a47.
APA:
Hedayati Maryam,Garousi Behzad,Rezaei Zahrasadat,Nazerian Yasaman,Yassaghi Younes...&Maleki Farajolah.(2024).Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis.Dermatology Practical & Conceptual,14,(2)
MLA:
Hedayati Maryam,et al."Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis".Dermatology Practical & Conceptual 14..2(2024)