RT Journal Article
SR Electronic
T1 Estrogen Receptor Status in Breast Cancer Is Associated with Remarkably Distinct Gene Expression Patterns
JF Cancer Research
JO Cancer Res
FD American Association for Cancer Research
SP 5979
OP 5984
VO 61
IS 16
A1 Gruvberger, Sofia
A1 Ringnér, Markus
A1 Chen, Yidong
A1 Panavally, Sujatha
A1 Saal, Lao H.
A1 Borg, Åke
A1 Fernö, Mårten
A1 Peterson, Carsten
A1 Meltzer, Paul S.
YR 2001
UL http://cancerres.aacrjournals.org/content/61/16/5979.abstract
AB To investigate the phenotype associated with estrogen receptor α (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. ©2001 American Association for Cancer Research.