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Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns

Gruvberger, Sofia LU ; Ringnér, Markus LU ; Chen, Yidong; Panavally, Sujatha; Saal, Lao LU ; Fernö, Mårten LU ; Peterson, Carsten LU ; Meltzer, Paul S. and Borg, Åke LU (2001) In Cancer Research 61(16). p.5979-5984
Abstract
To investigate the phenotype associated with estrogen receptor alpha (ER) expression in breast carcinoma, gene expression profiles of 58 node-negative breast carcinomas discordant for ER status were determined using DNA microarray technology. Using artificial neural networks as well as standard hierarchical clustering techniques, the tumors could be classified according to ER status, and a list of genes which discriminate tumors according to ER status was generated. The artificial neural networks could accurately predict ER status even when excluding top discriminator genes, including ER itself. By reference to the serial analysis of gene expression database, we found that only a small proportion of the 100 most important ER discriminator... (More)
To investigate the phenotype associated with estrogen receptor alpha (ER) expression in breast carcinoma, gene expression profiles of 58 node-negative breast carcinomas discordant for ER status were determined using DNA microarray technology. Using artificial neural networks as well as standard hierarchical clustering techniques, the tumors could be classified according to ER status, and a list of genes which discriminate tumors according to ER status was generated. The artificial neural networks could accurately predict ER status even when excluding top discriminator genes, including ER itself. By reference to the serial analysis of gene expression database, we found that only a small proportion of the 100 most important ER discriminator genes were also regulated by estradiol in MCF-7 cells. The results provide evidence that ER+ and ER- tumors display remarkably different gene-expression phenotypes not solely explained by differences in estrogen responsiveness. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Cancer Research
volume
61
issue
16
pages
5979 - 5984
publisher
American Association for Cancer Research Inc.
external identifiers
  • pmid:11507038
  • wos:000170521100006
  • scopus:0035881617
ISSN
1538-7445
language
English
LU publication?
yes
id
9f403ec0-feeb-49a6-9edd-eea5a5269619 (old id 1120068)
alternative location
http://cancerres.aacrjournals.org/content/61/16/5979.long
http://cancerres.aacrjournals.org/content/61/16/5979.abstract
date added to LUP
2008-06-30 09:56:12
date last changed
2018-01-28 04:01:17
@article{9f403ec0-feeb-49a6-9edd-eea5a5269619,
  abstract     = {To investigate the phenotype associated with estrogen receptor alpha (ER) expression in breast carcinoma, gene expression profiles of 58 node-negative breast carcinomas discordant for ER status were determined using DNA microarray technology. Using artificial neural networks as well as standard hierarchical clustering techniques, the tumors could be classified according to ER status, and a list of genes which discriminate tumors according to ER status was generated. The artificial neural networks could accurately predict ER status even when excluding top discriminator genes, including ER itself. By reference to the serial analysis of gene expression database, we found that only a small proportion of the 100 most important ER discriminator genes were also regulated by estradiol in MCF-7 cells. The results provide evidence that ER+ and ER- tumors display remarkably different gene-expression phenotypes not solely explained by differences in estrogen responsiveness.},
  author       = {Gruvberger, Sofia and Ringnér, Markus and Chen, Yidong and Panavally, Sujatha and Saal, Lao and Fernö, Mårten and Peterson, Carsten and Meltzer, Paul S. and Borg, Åke},
  issn         = {1538-7445},
  language     = {eng},
  number       = {16},
  pages        = {5979--5984},
  publisher    = {American Association for Cancer Research Inc.},
  series       = {Cancer Research},
  title        = {Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns},
  volume       = {61},
  year         = {2001},
}