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Classification of ductal carcinoma in situ by gene expression profiling
INTRODUCTION: Ductal carcinoma in situ (DCIS) is characterised by the intraductal proliferation of malignant epithelial cells. Several histological classification systems have been developed, but assessing the histological type/grade of DCIS lesions is still challenging, making treatment decisions b...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779498/ https://www.ncbi.nlm.nih.gov/pubmed/17069663 http://dx.doi.org/10.1186/bcr1613 |
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author | Hannemann, Juliane Velds, Arno Halfwerk, Johannes BG Kreike, Bas Peterse, Johannes L van de Vijver, Marc J |
author_facet | Hannemann, Juliane Velds, Arno Halfwerk, Johannes BG Kreike, Bas Peterse, Johannes L van de Vijver, Marc J |
author_sort | Hannemann, Juliane |
collection | PubMed |
description | INTRODUCTION: Ductal carcinoma in situ (DCIS) is characterised by the intraductal proliferation of malignant epithelial cells. Several histological classification systems have been developed, but assessing the histological type/grade of DCIS lesions is still challenging, making treatment decisions based on these features difficult. To obtain insight in the molecular basis of the development of different types of DCIS and its progression to invasive breast cancer, we have studied differences in gene expression between different types of DCIS and between DCIS and invasive breast carcinomas. METHODS: Gene expression profiling using microarray analysis has been performed on 40 in situ and 40 invasive breast cancer cases. RESULTS: DCIS cases were classified as well- (n = 6), intermediately (n = 18), and poorly (n = 14) differentiated type. Of the 40 invasive breast cancer samples, five samples were grade I, 11 samples were grade II, and 24 samples were grade III. Using two-dimensional hierarchical clustering, the basal-like type, ERB-B2 type, and the luminal-type tumours originally described for invasive breast cancer could also be identified in DCIS. CONCLUSION: Using supervised classification, we identified a gene expression classifier of 35 genes, which differed between DCIS and invasive breast cancer; a classifier of 43 genes could be identified separating between well- and poorly differentiated DCIS samples. |
format | Text |
id | pubmed-1779498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-17794982007-01-19 Classification of ductal carcinoma in situ by gene expression profiling Hannemann, Juliane Velds, Arno Halfwerk, Johannes BG Kreike, Bas Peterse, Johannes L van de Vijver, Marc J Breast Cancer Res Research Article INTRODUCTION: Ductal carcinoma in situ (DCIS) is characterised by the intraductal proliferation of malignant epithelial cells. Several histological classification systems have been developed, but assessing the histological type/grade of DCIS lesions is still challenging, making treatment decisions based on these features difficult. To obtain insight in the molecular basis of the development of different types of DCIS and its progression to invasive breast cancer, we have studied differences in gene expression between different types of DCIS and between DCIS and invasive breast carcinomas. METHODS: Gene expression profiling using microarray analysis has been performed on 40 in situ and 40 invasive breast cancer cases. RESULTS: DCIS cases were classified as well- (n = 6), intermediately (n = 18), and poorly (n = 14) differentiated type. Of the 40 invasive breast cancer samples, five samples were grade I, 11 samples were grade II, and 24 samples were grade III. Using two-dimensional hierarchical clustering, the basal-like type, ERB-B2 type, and the luminal-type tumours originally described for invasive breast cancer could also be identified in DCIS. CONCLUSION: Using supervised classification, we identified a gene expression classifier of 35 genes, which differed between DCIS and invasive breast cancer; a classifier of 43 genes could be identified separating between well- and poorly differentiated DCIS samples. BioMed Central 2006 2006-10-30 /pmc/articles/PMC1779498/ /pubmed/17069663 http://dx.doi.org/10.1186/bcr1613 Text en Copyright © 2006 Hannemann 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 Hannemann, Juliane Velds, Arno Halfwerk, Johannes BG Kreike, Bas Peterse, Johannes L van de Vijver, Marc J Classification of ductal carcinoma in situ by gene expression profiling |
title | Classification of ductal carcinoma in situ by gene expression profiling |
title_full | Classification of ductal carcinoma in situ by gene expression profiling |
title_fullStr | Classification of ductal carcinoma in situ by gene expression profiling |
title_full_unstemmed | Classification of ductal carcinoma in situ by gene expression profiling |
title_short | Classification of ductal carcinoma in situ by gene expression profiling |
title_sort | classification of ductal carcinoma in situ by gene expression profiling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779498/ https://www.ncbi.nlm.nih.gov/pubmed/17069663 http://dx.doi.org/10.1186/bcr1613 |
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