Literature DB >> 24356094

Molecular classification of metaplastic carcinoma using surrogate immunohistochemical staining.

Hye Min Kim1, Do Hee Kim, Woo Hee Jung, Ja Seung Koo.   

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.
© 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 24356094     DOI: 10.1159/000354270

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  2 in total

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Journal:  Med Mol Morphol       Date:  2015-03-28       Impact factor: 2.309

2.  Clinicopathological Features and Prognosis of Metaplastic Breast Carcinoma: Experience of a Major Chinese Cancer Center.

Authors:  Yiqian Zhang; Feng Lv; Yiling Yang; Xiaolong Qian; Ronggang Lang; Yu Fan; Fangfang Liu; Yaqing Li; Shuai Li; Beibei Shen; Gordon A Pringle; Xinmin Zhang; Li Fu; Xiaojing Guo
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

  2 in total

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