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BibTeX
Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome
The Journal of pathology, 2008-02, Vol.214 (3), p.357-367
Bergamaschi, A
Tagliabue, E
Sørlie, T
Naume, B
Triulzi, T
Orlandi, R
Russnes, HG
Nesland, JM
Tammi, R
Auvinen, P
Kosma, V.M
Ménard, S
Børresen-Dale, A.L
2008
Details
Autor(en) / Beteiligte
Bergamaschi, A
Tagliabue, E
Sørlie, T
Naume, B
Triulzi, T
Orlandi, R
Russnes, HG
Nesland, JM
Tammi, R
Auvinen, P
Kosma, V.M
Ménard, S
Børresen-Dale, A.L
Titel
Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome
Ist Teil von
The Journal of pathology, 2008-02, Vol.214 (3), p.357-367
Ort / Verlag
Chichester, UK: John Wiley & Sons, Ltd
Erscheinungsjahr
2008
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
Prediction of the clinical outcome of breast cancer is multi-faceted and challenging. There is growing evidence that the complexity of the tumour micro-environment, consisting of several cell types and a complex mixture of proteins, plays an important role in development, progression, and response to therapy. In the current study, we investigated whether invasive breast tumours can be classified on the basis of the expression of extracellular matrix (ECM) components and whether such classification is representative of different clinical outcomes. We first examined the matrix composition of 28 primary breast carcinomas by morphology and gene expression profiling using 22K oligonucleotide Agilent microarrays. Hierarchical clustering of the gene expression profile of 278 ECM-related genes derived from the literature divided the tumours into four main groups (ECM1-4). A set of selected differentially expressed genes was validated by immunohistochemistry. The robustness of the ECM classification was confirmed by studying the four ECM groups in a previously published gene expression data set of 114 early-stage primary breast carcinomas profiled using cDNA arrays. Univariate survival analysis showed significant differences in clinical outcome among the various ECM subclasses. One set of tumours, designated ECM4, had a favourable outcome and was defined by the overexpression of a set of protease inhibitors belonging to the serpin family, while tumours with an ECM1 signature had a poorer prognosis and showed high expression of integrins and metallopeptidases, and low expression of several laminin chains. Furthermore, we identified three surrogate markers of ECM1 tumours: MARCO, PUNC, and SPARC, whose expression levels were associated with breast cancer survival and risk of recurrence. Our findings suggest that primary breast tumours can be classified based upon ECM composition and that this classification provides relevant information on the biology of breast carcinomas, further supporting the hypothesis that clinical outcome is strongly related to stromal characteristics. Copyright © 2007 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Sprache
Englisch
Identifikatoren
ISSN: 0022-3417
eISSN: 1096-9896
DOI: 10.1002/path.2278
Titel-ID: cdi_proquest_miscellaneous_70216939
Format
–
Schlagworte
Biological and medical sciences
,
Biomarkers, Tumor
,
breast cancer
,
Breast Neoplasms - classification
,
Breast Neoplasms - genetics
,
Cell Adhesion Molecules, Neuronal - genetics
,
extracellular matrix
,
Extracellular Matrix Proteins - genetics
,
Female
,
gene expression profile
,
Gene Expression Profiling
,
Gene Expression Regulation, Neoplastic
,
Gynecology. Andrology. Obstetrics
,
Humans
,
IHC
,
Immunoglobulins - genetics
,
Immunohistochemistry
,
Investigative techniques, diagnostic techniques (general aspects)
,
Mammary gland diseases
,
Medical sciences
,
Oligonucleotide Array Sequence Analysis
,
Osteonectin - genetics
,
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
,
Prognosis
,
Receptors, Immunologic - genetics
,
Survival Analysis
,
Tumors
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