Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hannemann, Juliane, Velds, Arno, Halfwerk, Johannes BG, Kreike, Bas, Peterse, Johannes L, van de Vijver, Marc J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
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
_version_ 1782131788214173696
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
work_keys_str_mv AT hannemannjuliane classificationofductalcarcinomainsitubygeneexpressionprofiling
AT veldsarno classificationofductalcarcinomainsitubygeneexpressionprofiling
AT halfwerkjohannesbg classificationofductalcarcinomainsitubygeneexpressionprofiling
AT kreikebas classificationofductalcarcinomainsitubygeneexpressionprofiling
AT petersejohannesl classificationofductalcarcinomainsitubygeneexpressionprofiling
AT vandevijvermarcj classificationofductalcarcinomainsitubygeneexpressionprofiling