{"title":"通过免疫组化鉴定可自发消退的 SCC 病变：系统回顾与元分析》。","authors":"Maryam Hedayati, Behzad Garousi, Zahrasadat Rezaei, Yasaman Nazerian, Younes Yassaghi, Arian Tavasol, Dorsa Bahrami Zanjanbar, Sanaz Sharifpour, Amir Golestani, Mansoor Bolideei, Farajolah Maleki","doi":"10.5826/dpc.1402a47","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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<sup>2</sup> tests.</p><p><strong>Results: </strong>Six potential biomarkers were CD10 with pooled OR= 0.006 (95% CI: 0.001-0.057) and I<sup>2</sup>=0%; COX-2 with pooled OR=0.089 (95% CI: 0.029-0.269) and I<sup>2</sup>=17.1%; elastic fibers with pooled OR= 6.69 (95% CI: 2.928-15.281) and I<sup>2</sup>=0%; IMP-3 with pooled OR=0.145 (95% CI: 0.021-1.001) and I<sup>2</sup>=44.5%; P53 with pooled OR=0.371 (95% CI: 0.188-0.733) and I<sup>2</sup>=55.9%; AT1R with OR=0.026 (95% CI: 0.006-0.107).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":11168,"journal":{"name":"Dermatology practical & conceptual","volume":"14 2","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11135932/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis.\",\"authors\":\"Maryam Hedayati, Behzad Garousi, Zahrasadat Rezaei, Yasaman Nazerian, Younes Yassaghi, Arian Tavasol, Dorsa Bahrami Zanjanbar, Sanaz Sharifpour, Amir Golestani, Mansoor Bolideei, Farajolah Maleki\",\"doi\":\"10.5826/dpc.1402a47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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<sup>2</sup> tests.</p><p><strong>Results: </strong>Six potential biomarkers were CD10 with pooled OR= 0.006 (95% CI: 0.001-0.057) and I<sup>2</sup>=0%; COX-2 with pooled OR=0.089 (95% CI: 0.029-0.269) and I<sup>2</sup>=17.1%; elastic fibers with pooled OR= 6.69 (95% CI: 2.928-15.281) and I<sup>2</sup>=0%; IMP-3 with pooled OR=0.145 (95% CI: 0.021-1.001) and I<sup>2</sup>=44.5%; P53 with pooled OR=0.371 (95% CI: 0.188-0.733) and I<sup>2</sup>=55.9%; AT1R with OR=0.026 (95% CI: 0.006-0.107).</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":11168,\"journal\":{\"name\":\"Dermatology practical & conceptual\",\"volume\":\"14 2\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11135932/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dermatology practical & conceptual\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5826/dpc.1402a47\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dermatology practical & conceptual","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5826/dpc.1402a47","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis.
Introduction: 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.
Objectives: 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.
Methods: 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.
Results: 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).
Conclusions: 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.
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