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1.
Int J Cancer ; 138(4): 949-63, 2016 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-26355710

RESUMEN

The transcription factor grainyhead-like 2 (GRHL2) plays a crucial role in various developmental processes. Although GRHL2 recently has attracted considerable interest in that it could be identified as a novel suppressor of the epithelial-to-mesenchymal transition, evidence is emerging that GRHL2 also exhibits tumour-promoting activities. Aim of the present study therefore was to help defining the relevance of GRHL2 for human cancers by performing a comprehensive immunohistochemical analysis of GRHL2 expression in normal (n = 608) and (n = 3,143) tumour tissues using tissue microarrays. Consistent with its accepted role in epithelial morphogenesis, GRHL2 expression preferentially but not exclusively was observed in epithelial cells. Regenerative and proliferating epithelial cells with stem cell features showed a strong GRHL2 expression. Highly complex GRHL2 expression patterns indicative of both reduced and elevated GRHL2 expression in tumours, possibly reflecting potential tumour-suppressing as well as oncogenic functions of GRHL2 in distinct human tumours, were observed. A dysregulation of GRHL2 expression for the first time was found in tumours of non-epithelial origin (e.g., astrocytomas, melanomas). We also report GRHL2 copy number gains which, however, did not necessarily translate into increased GRHL2 expression levels in cancer cells. Results obtained by meta-analysis of gene expression microarray data in conjunction with functional assays demonstrating a direct regulation of HER3 expression further point to a potential therapeutic relevance of GRHL2 in ovarian cancer. Hopefully, the results presented in this study may pave the way for a better understanding of the yet largely unknown function of GRHL2 in the initiation, progression and also therapy of cancers.


Asunto(s)
Proteínas de Unión al ADN/análisis , Proteínas de Unión al ADN/biosíntesis , Células Epiteliales/metabolismo , Transición Epitelial-Mesenquimal , Neoplasias/metabolismo , Factores de Transcripción/análisis , Factores de Transcripción/biosíntesis , Línea Celular Tumoral , Humanos , Inmunohistoquímica , Hibridación Fluorescente in Situ , Análisis de Secuencia por Matrices de Oligonucleótidos , Análisis de Matrices Tisulares
2.
Clin Cancer Res ; 10(8): 2670-4, 2004 Apr 15.
Artículo en Inglés | MEDLINE | ID: mdl-15102669

RESUMEN

PURPOSE: Cytokeratins (CKs) have been recognized for >20 years as structural marker proteins specific for epithelial cells. Recent expression profiling analyses indicate, however, that CK down-regulation may occur in breast cancer. EXPERIMENTAL DESIGN: Here we evaluated the expression pattern of CK18 by immunohistochemical analysis of primary breast carcinomas (n = 1458) spotted on a high-density tissue microarray. The findings were correlated to histopathological risk factors and clinical outcome. RESULTS: Down-regulation of CK18 (as compared to normal breast tissue) was observed in 25.4% of the tumors with a lower rate in lobular carcinomas (17.0%) than in ductal carcinomas (25.4%) or other histological entities (32.5%). CK down-regulation was significantly correlated to advanced tumor stage and high grade but not to axillary lymph node status. Kaplan-Meier survival analysis revealed CK18 as a prognostic indicator of overall survival (P = 0.015) and cancer-specific survival (P = 0.005). CONCLUSIONS: Down-regulation of the luminal CK18 is not rare and a clinically relevant event in breast cancer. This finding has important implications for the use of CK18 as epithelial tumor marker. The correlations with clinical follow-up suggest that CK18 might suppress tumor progression.


Asunto(s)
Neoplasias de la Mama/metabolismo , Regulación hacia Abajo , Queratinas/biosíntesis , Anciano , Biomarcadores de Tumor , Carcinoma/metabolismo , Carcinoma Ductal/metabolismo , Carcinoma Lobular/metabolismo , Progresión de la Enfermedad , Humanos , Inmunohistoquímica , Metástasis Linfática , Persona de Mediana Edad , Pronóstico , Análisis por Matrices de Proteínas , Factores de Riesgo , Factores de Tiempo
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