Clinical, Dermoscopic, and Molecular Features of Acantholytic Squamous Cell Carcinoma: A Systematic Review Article Swipe
Catherine Zhu
,
Lorena Alexandra Mija
,
Santina Conte
,
Sarah Ghezelbash
,
Bonika Nallanathan
,
Genevieve Fortier‐Riberdy
,
Margaret Redpath
,
Philippe Lefrançois
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/cancers16162905
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/cancers16162905
Introduction: Acantholytic squamous cell carcinoma (aSCC) is a rare clinicopathological subtype of cutaneous squamous cell carcinoma, accounting for approximately 4.9% of all SCC cases. However, there are currently no standardized criteria for the diagnosis of aSCC. This systematic review is the first to summarize the clinical and molecular features of aSCC. Methods: A systematic search of Medline, Embase, Scopus, and PubMed was performed. All articles in English or French were included, with no restriction of publication date. All articles with original data pertaining to clinical or molecular characteristics of aSCC were included. Two reviewers screened articles and resolved conflicts. Results: Our systematic review included 52 studies on the clinical and molecular features of aSCC, including a total of 482 patients (76% male, mean age at diagnosis 68.9 years): 430 cases assessed clinical features, while 149 cases assessed molecular features. The most common location of aSCC was the head and neck (n = 329/430; 76.5%). In terms of morphology, most lesions were described as nodules (n = 93/430, 21.6%), with common surface changes being hyperkeratosis (n = 6), erosion (n = 6), ulceration (n = 5), and crusting (n = 3). With regard to dermoscopy, only six cases were noted in the literature, including findings such as ulceration (n = 3), keratin clots (n = 2), and erosions (n = 2). Thirty-four studies discussed the molecular markers of aSCC, with the most prevalent markers being cytokeratins. CD15 negativity was noted in 23 cases, while common endothelial vascular markers such as CD34 (n = 16), CD31 (n = 15), factor VIII-related antigen (n = 10), and ERG (n = 1) were often not expressed. Finally, expression of intracellular adhesion molecules (i.e., E-cadherin, CD138) was markedly decreased compared to non-acantholytic invasive SCC. Conclusions: This systematic review summarizes the clinical characteristics and molecular features of aSCC. As clinical differentiation can be difficult, clinicopathological correlation with molecular markers may help ensure proper diagnosis.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers16162905
- https://www.mdpi.com/2072-6694/16/16/2905/pdf?version=1724240131
- OA Status
- gold
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401792776
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401792776Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/cancers16162905Digital Object Identifier
- Title
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Clinical, Dermoscopic, and Molecular Features of Acantholytic Squamous Cell Carcinoma: A Systematic ReviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-21Full publication date if available
- Authors
-
Catherine Zhu, Lorena Alexandra Mija, Santina Conte, Sarah Ghezelbash, Bonika Nallanathan, Genevieve Fortier‐Riberdy, Margaret Redpath, Philippe LefrançoisList of authors in order
- Landing page
-
https://doi.org/10.3390/cancers16162905Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-6694/16/16/2905/pdf?version=1724240131Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2072-6694/16/16/2905/pdf?version=1724240131Direct OA link when available
- Concepts
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Basal cell, Dermatology, Medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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