Characterizing CD133 and NANOG Expression in Melanoma: Associations with Histological and Epidemiological Parameters Article Swipe
Adrian-Horațiu Sabău
,
Raluca Niculescu
,
Iuliu Gabriel Cocuz
,
Andreea Cătălina Tinca
,
Andreea Raluca Szőke
,
Bianca Andreea Lazar
,
Diana Maria Chiorean
,
Corina Eugenia Budin
,
Alexandru Nicușor Tomuț
,
Ovidiu Simion Cotoi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/medicina60101658
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/medicina60101658
Background/Objectives: Melanoma is an aggressive skin malignancy, and the majority of deaths associated with melanoma result from malignant skin lesions. Our study aims to evaluate the expression of the markers CD133 and NANOG, associated with tumor stem cells, and to analyze their link with epidemiological and histological parameters, thus contributing to early diagnosis and the development of targeted therapies. Methods: We performed a retrospective study in the Mureș Clinical County Hospital, Romania, which included 66 cases of melanoma: 50 primary cutaneous melanomas, 10 metastases, and 6 local recurrences. CD133 and NANOG marker expression was assessed by immunohistochemistry and quantified using the H score. Statistical analyses were applied to determine the correlations between marker expression and clinicopathological parameters. Results: CD133 expression was identified in six cases (12%) of primary melanoma, with a mean H-Score of 29, and was associated with an increased Breslow index and a higher number of mitoses. NANOG expression was positive in 30 cases (60%) of primary melanoma, with a median H-Score of 15 and with increased expression observed in cases with pagetoid migration and lesions in situ. In metastases, eight cases (80%) were positive for NANOG and four (40%) for CD133. Local recurrences showed positive expression for NANOG in four cases (66%). Conclusions: The expression of CD133 and NANOG markers highlights the role of tumor stem cells in melanoma progression. Early identification of these markers could improve diagnosis and treatment, including the application of targeted therapies.
Related Topics
Concepts
Homeobox protein NANOG
Epidemiology
Melanoma
Expression (computer science)
Biology
Medicine
Cancer research
Pathology
Genetics
Computer science
Embryonic stem cell
Induced pluripotent stem cell
Gene
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/medicina60101658
- OA Status
- gold
- Cited By
- 1
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403303203
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403303203Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/medicina60101658Digital Object Identifier
- Title
-
Characterizing CD133 and NANOG Expression in Melanoma: Associations with Histological and Epidemiological ParametersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-10Full publication date if available
- Authors
-
Adrian-Horațiu Sabău, Raluca Niculescu, Iuliu Gabriel Cocuz, Andreea Cătălina Tinca, Andreea Raluca Szőke, Bianca Andreea Lazar, Diana Maria Chiorean, Corina Eugenia Budin, Alexandru Nicușor Tomuț, Ovidiu Simion CotoiList of authors in order
- Landing page
-
https://doi.org/10.3390/medicina60101658Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/medicina60101658Direct OA link when available
- Concepts
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Homeobox protein NANOG, Epidemiology, Melanoma, Expression (computer science), Biology, Medicine, Cancer research, Pathology, Genetics, Computer science, Embryonic stem cell, Induced pluripotent stem cell, Gene, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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