Author
Listed:
- 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
Howard Hughes Medical Institute, Stanford University School of Medicine)
- David Botstein
(Stanford University School of Medicine)
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.
Suggested Citation
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 Flu, 2000.
"Molecular portraits of human breast tumours,"
Nature, Nature, vol. 406(6797), pages 747-752, August.
Handle:
RePEc:nat:nature:v:406:y:2000:i:6797:d:10.1038_35021093
DOI: 10.1038/35021093
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