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Breast Cancer Research
Published in: Breast Cancer Research 2/2008

01-05-2008 | Poster presentation

Identification and definition of novel clinical phenotypes of breast cancer through consensus derived from automated clustering methods

Authors: AR Green, JM Garibaldi, D Soria, F Ambrogi, G Ball, PJG Lisboa, TA Etchells, P Boracchi, E Biganzoli, RD Macmillan, RW Blamey, DG Powe, EA Rakha, IO Ellis

Published in: Breast Cancer Research | Special Issue 2/2008

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Excerpt

Breast cancer is a heterogeneous disease for which several forms have recently been identified on the basis of their gene expression characteristics [1]. We have previously demonstrated that protein expression characteristics can be used to identify comparable classes [2]. In the present study we extend this approach using improved biostatistical methods to confirm the validity of such an approach and to further define the key criteria for class membership. …
Literature
1.
Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Eystein Lonning P, Borresen-Dale AL: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001, 98: 10869-10874. 10.1073/pnas.191367098.CrossRefPubMedPubMedCentral
2.
Abd El-Rehim DM, Ball G, Pinder SE, Rakha E, Paish C, Robertson JF, Macmillan D, Blamey RW, Ellis IO: High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses. Int J Cancer. 2005, 116: 340-350. 10.1002/ijc.21004.CrossRefPubMed
Metadata
Title
Identification and definition of novel clinical phenotypes of breast cancer through consensus derived from automated clustering methods
Authors
AR Green
JM Garibaldi
D Soria
F Ambrogi
G Ball
PJG Lisboa
TA Etchells
P Boracchi
E Biganzoli
RD Macmillan
RW Blamey
DG Powe
EA Rakha
IO Ellis
Publication date
01-05-2008
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue Special Issue 2/2008
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr1953

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