Molecular portraits of human breast tumours

Charles M. Perou, Therese Sørlie, Michael B. Eisen, Matt van de Rijn, Stefanie S. Jeffrey, Christian A. Rees, Jonathan R. Pollack, Douglas T. Ross, Hilde Johnsen, Lars A. Akslen, Øystein Fluge, Alexander Pergamenschikov, Cheryl Williams, Shirley X. Zhu, Per E. Lønning, Anne-Lise Børresen-Dale, Patrick O. Brown and David Botstein ()
Additional contact information
Charles M. Perou: Stanford University School of Medicine
Therese Sørlie: The Norwegian Radium Hospital
Michael B. Eisen: Stanford University School of Medicine
Matt van de Rijn: Stanford University School of Medicine
Stefanie S. Jeffrey: Stanford University School of Medicine
Christian A. Rees: Stanford University School of Medicine
Jonathan R. Pollack: Stanford University School of Medicine
Douglas T. Ross: Stanford University School of Medicine
Hilde Johnsen: The Norwegian Radium Hospital
Lars A. Akslen: The Gade Institute Haukeland University Hospital
Øystein Fluge: University of Bergen
Alexander Pergamenschikov: Stanford University School of Medicine
Cheryl Williams: Stanford University School of Medicine
Shirley X. Zhu: Stanford University School of Medicine
Per E. Lønning: Haukeland University Hospital
Anne-Lise Børresen-Dale: The Norwegian Radium Hospital
Patrick O. Brown: Stanford University School of Medicine
David Botstein: Stanford University School of Medicine

Nature, 2000, vol. 406, issue 6797, 747-752

Abstract: Abstract Human breast tumours are diverse in their natural history and in their responsiveness to treatments1. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (67)

Downloads: (external link)
https://www.nature.com/articles/35021093 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:406:y:2000:i:6797:d:10.1038_35021093

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/35021093

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().