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Estrogen receptor s...
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Gruvberger, SofiaLund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
(author)
Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns
- Article/chapterEnglish2001
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LIBRIS-ID:oai:lup.lub.lu.se:9f403ec0-feeb-49a6-9edd-eea5a5269619
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https://lup.lub.lu.se/record/1120068URI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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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.
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Ringnér, MarkusLund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Genomgår omorganisation,Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Undergoing reorganization,Department of Astronomy and Theoretical Physics - Undergoing reorganization,Faculty of Science,National Institutes of Health, United States(Swepub:lu)thep-mri
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Chen, Yidong
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Panavally, Sujatha
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Saal, LaoLund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)onk-ls0
(author)
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Fernö, MårtenLund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)onk-mfe
(author)
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Peterson, CarstenLund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Genomgår omorganisation,Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Undergoing reorganization,Department of Astronomy and Theoretical Physics - Undergoing reorganization,Faculty of Science(Swepub:lu)thep-cpe
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Meltzer, Paul S.
(author)
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Borg, ÅkeLund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)onk-abo
(author)
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Bröstcancer-genetikSektion I
(creator_code:org_t)
Related titles
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In:Cancer Research61:16, s. 5979-59841538-7445
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