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CD10 expression in trichoepithelioma and basal cell carcinoma
Teresa Tram N Pham1, M Angelica Selim, James L Burchette
1Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA.
Journal of Cutaneous Pathology
|January 20, 2006
Summary
CD10 immunohistochemistry helps distinguish trichoepithelioma (TE) from basal cell carcinoma (BCC). Distinct CD10 staining patterns in tumor cells and stroma offer a valuable diagnostic tool for these similar skin neoplasms.
Area of Science:
- Dermatopathology
- Immunohistochemistry
- Oncology
Background:
- Trichoepithelioma (TE) and basal cell carcinoma (BCC) are distinct skin neoplasms with overlapping clinical and histological features.
- Accurate differentiation is crucial for appropriate patient management.
- Limited immunohistochemical markers are currently available to reliably distinguish TE from BCC.
Purpose of the Study:
- To investigate the utility of CD10 protein immunohistochemistry in differentiating trichoepithelioma from basal cell carcinoma.
- To analyze the differential expression patterns of CD10 in TE and BCC.
Main Methods:
- CD10 protein immunohistochemistry was performed on 13 trichoepithelioma and 23 basal cell carcinoma biopsies.
- Analysis focused on the pattern of CD10 expression in tumor cells and the surrounding stroma.
- Statistical analysis was used to assess the significance of observed staining patterns.
Main Results:
- Positive stromal CD10 immunoreactivity was observed in 92% of trichoepitheliomas.
- CD10 expression in basaloid cells was identified in 87% of basal cell carcinomas.
- Condensation of CD10-positive stromal cells around nests was significantly higher in TE, while CD10-positive basaloid cells were predominantly seen in BCC (p < 0.0001 for both).
Conclusions:
- A statistically significant difference in CD10 staining patterns exists between trichoepithelioma and basal cell carcinoma.
- CD10 serves as a valuable adjunctive immunohistochemical marker for distinguishing these two tumors.
- This finding aids in improving diagnostic accuracy in dermatopathology.
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