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Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer
BACKGROUND: Activating mutations of the epidermal growth factor receptor (EGFR) confer sensitivity to the tyrosine kinase inhibitors (TKi), gefitinib and erlotinib. We analysed EGFR expression, EGFR mutation status and gene expression profiles of prostate cancer (PC) to supply a rationale for EGFR t...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040720/ https://www.ncbi.nlm.nih.gov/pubmed/21266046 http://dx.doi.org/10.1186/1471-2407-11-31 |
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author | Peraldo-Neia, Caterina Migliardi, Giorgia Mello-Grand, Maurizia Montemurro, Filippo Segir, Raffaella Pignochino, Ymera Cavalloni, Giuliana Torchio, Bruno Mosso, Luciano Chiorino, Giovanna Aglietta, Massimo |
author_facet | Peraldo-Neia, Caterina Migliardi, Giorgia Mello-Grand, Maurizia Montemurro, Filippo Segir, Raffaella Pignochino, Ymera Cavalloni, Giuliana Torchio, Bruno Mosso, Luciano Chiorino, Giovanna Aglietta, Massimo |
author_sort | Peraldo-Neia, Caterina |
collection | PubMed |
description | BACKGROUND: Activating mutations of the epidermal growth factor receptor (EGFR) confer sensitivity to the tyrosine kinase inhibitors (TKi), gefitinib and erlotinib. We analysed EGFR expression, EGFR mutation status and gene expression profiles of prostate cancer (PC) to supply a rationale for EGFR targeted therapies in this disease. METHODS: Mutational analysis of EGFR TK domain (exons from 18 to 21) and immunohistochemistry for EGFR were performed on tumour tissues derived from radical prostatectomy from 100 PC patients. Gene expression profiling using oligo-microarrays was also carried out in 51 of the PC samples. RESULTS: EGFR protein overexpression (EGFR(high)) was found in 36% of the tumour samples, and mutations were found in 13% of samples. Patients with EGFR(high )tumours experienced a significantly increased risk of biochemical relapse (hazard ratio-HR 2.52, p=0.02) compared with patients with tumours expressing low levels of EGFR (EGFR(low)). Microarray analysis did not reveal any differences in gene expression between EGFR(high )and EGFR(low )tumours. Conversely, in EGFR(high )tumours, we were able to identify a 79 gene signature distinguishing mutated from non-mutated tumours. Additionally, 29 genes were found to be differentially expressed between mutated/EGFR(high )(n=3) and mutated/EGFR(low )tumours (n=5). Four of the down-regulated genes, U19/EAF2, ABCC4, KLK3 and ANXA3 and one of the up-regulated genes, FOXC1, are involved in PC progression. CONCLUSIONS: Based on our findings, we hypothesize that accurate definition of the EGFR status could improve prognostic stratification and we suggest a possible role for EGFR-directed therapies in PC patients. Having been generated in a relatively small sample of patients, our results warrant confirmation in larger series. |
format | Text |
id | pubmed-3040720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30407202011-02-18 Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer Peraldo-Neia, Caterina Migliardi, Giorgia Mello-Grand, Maurizia Montemurro, Filippo Segir, Raffaella Pignochino, Ymera Cavalloni, Giuliana Torchio, Bruno Mosso, Luciano Chiorino, Giovanna Aglietta, Massimo BMC Cancer Research Article BACKGROUND: Activating mutations of the epidermal growth factor receptor (EGFR) confer sensitivity to the tyrosine kinase inhibitors (TKi), gefitinib and erlotinib. We analysed EGFR expression, EGFR mutation status and gene expression profiles of prostate cancer (PC) to supply a rationale for EGFR targeted therapies in this disease. METHODS: Mutational analysis of EGFR TK domain (exons from 18 to 21) and immunohistochemistry for EGFR were performed on tumour tissues derived from radical prostatectomy from 100 PC patients. Gene expression profiling using oligo-microarrays was also carried out in 51 of the PC samples. RESULTS: EGFR protein overexpression (EGFR(high)) was found in 36% of the tumour samples, and mutations were found in 13% of samples. Patients with EGFR(high )tumours experienced a significantly increased risk of biochemical relapse (hazard ratio-HR 2.52, p=0.02) compared with patients with tumours expressing low levels of EGFR (EGFR(low)). Microarray analysis did not reveal any differences in gene expression between EGFR(high )and EGFR(low )tumours. Conversely, in EGFR(high )tumours, we were able to identify a 79 gene signature distinguishing mutated from non-mutated tumours. Additionally, 29 genes were found to be differentially expressed between mutated/EGFR(high )(n=3) and mutated/EGFR(low )tumours (n=5). Four of the down-regulated genes, U19/EAF2, ABCC4, KLK3 and ANXA3 and one of the up-regulated genes, FOXC1, are involved in PC progression. CONCLUSIONS: Based on our findings, we hypothesize that accurate definition of the EGFR status could improve prognostic stratification and we suggest a possible role for EGFR-directed therapies in PC patients. Having been generated in a relatively small sample of patients, our results warrant confirmation in larger series. BioMed Central 2011-01-25 /pmc/articles/PMC3040720/ /pubmed/21266046 http://dx.doi.org/10.1186/1471-2407-11-31 Text en Copyright ©2011 Peraldo-Neia et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Peraldo-Neia, Caterina Migliardi, Giorgia Mello-Grand, Maurizia Montemurro, Filippo Segir, Raffaella Pignochino, Ymera Cavalloni, Giuliana Torchio, Bruno Mosso, Luciano Chiorino, Giovanna Aglietta, Massimo Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title | Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title_full | Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title_fullStr | Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title_full_unstemmed | Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title_short | Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer |
title_sort | epidermal growth factor receptor (egfr) mutation analysis, gene expression profiling and egfr protein expression in primary prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3040720/ https://www.ncbi.nlm.nih.gov/pubmed/21266046 http://dx.doi.org/10.1186/1471-2407-11-31 |
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