Abstract | OBJECTIVE: The purpose of this study is to investigate molecular subtyping and its implications on metaplastic carcinoma according to surrogate immunohistochemical (IHC) staining. METHODS: Following tissue microarray analysis of 34 cases of metaplastic carcinoma, IHC staining for cytokeratin (CK) 5/6, epidermal growth factor receptor (EGFR), claudin-3, claudin-4, claudin-7, E-cadherin, STAT-1, androgen receptor and GGT was performed and classified into basal-like, molecular apocrine, claudin-low, immune-related, mixed and null types. RESULTS: Among the 34 cases of metaplastic carcinoma, 13 were of the basal-like type (35.2%), 9 of the mixed type (26.5%), 8 of the null type (23.5%), 3 of the claudin-low type (8.8%), and 1 was of the molecular apocrine type (2.9%). Depending on the cell type, there were differences between molecular subtypes, with the matrix-producing type occupying the largest proportion in the basal-like, null and mixed types. The spindle cell type represented the largest proportion in the claudin-low and molecular apocrine types, and the squamous cell type characterized the largest proportion in the basal-like type. CONCLUSION: Following molecular subtyping of metaplastic carcinomas using surrogate IHC markers, the largest number of cases was of the basal-like type, followed by the mixed, null, claudin-low and molecular apocrine types. There were differences between molecular subtypes according to the cell type.
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Authors | Hye Min Kim, Do Hee Kim, Woo Hee Jung, Ja Seung Koo |
Journal | Pathobiology : journal of immunopathology, molecular and cellular biology
(Pathobiology)
Vol. 81
Issue 2
Pg. 69-77
( 2014)
ISSN: 1423-0291 [Electronic] Switzerland |
PMID | 24356094
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © 2013 S. Karger AG, Basel. |
Chemical References |
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Topics |
- Biomarkers, Tumor
(analysis)
- Breast Neoplasms
(classification, metabolism, pathology)
- Carcinoma
(classification, metabolism, pathology)
- Female
- Humans
- Immunohistochemistry
- Middle Aged
- Tissue Array Analysis
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