Literature DB >> 10963602

Molecular portraits of human breast tumours.

C M Perou1, T Sørlie, M B Eisen, M van de Rijn, S S Jeffrey, C A Rees, J R Pollack, D T Ross, H Johnsen, L A Akslen, O Fluge, A Pergamenschikov, C Williams, S X Zhu, P E Lønning, A L Børresen-Dale, P O Brown, D Botstein.   

Abstract

Human breast tumours are diverse in their natural history and in their responsiveness to treatments. 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.

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Year:  2000        PMID: 10963602     DOI: 10.1038/35021093

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  2000 in total

1.  Comparative genome-scale analysis of gene expression profiles in T cell lymphoma cells during malignant progression using a complementary DNA microarray.

Authors:  S Li; D T Ross; M E Kadin; P O Brown; M A Wasik
Journal:  Am J Pathol       Date:  2001-04       Impact factor: 4.307

2.  Papillomavirus type 16 oncogenes downregulate expression of interferon-responsive genes and upregulate proliferation-associated and NF-kappaB-responsive genes in cervical keratinocytes.

Authors:  M Nees; J M Geoghegan; T Hyman; S Frank; L Miller; C D Woodworth
Journal:  J Virol       Date:  2001-05       Impact factor: 5.103

3.  Identification of disease-specific genes in chronic pancreatitis using DNA array technology.

Authors:  H Friess; J Ding; J Kleeff; Q Liao; P O Berberat; J Hammer; M W Büchler
Journal:  Ann Surg       Date:  2001-12       Impact factor: 12.969

Review 4.  DNA microarrays in medical practice.

Authors:  T J Aitman
Journal:  BMJ       Date:  2001-09-15

Review 5.  Phosphatidylinositol 3' kinase signaling in mammary tumorigenesis.

Authors:  M P Scheid; J R Woodgett
Journal:  J Mammary Gland Biol Neoplasia       Date:  2001-01       Impact factor: 2.673

6.  An assessment of Motorola CodeLink microarray performance for gene expression profiling applications.

Authors:  Ramesh Ramakrishnan; David Dorris; Anna Lublinsky; Allen Nguyen; Marc Domanus; Anna Prokhorova; Linn Gieser; Edward Touma; Randall Lockner; Murthy Tata; Xiaomei Zhu; Marcus Patterson; Richard Shippy; Timothy J Sendera; Abhijit Mazumder
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

7.  Fully automatic quantification of microarray image data.

Authors:  Ajay N Jain; Taku A Tokuyasu; Antoine M Snijders; Richard Segraves; Donna G Albertson; Daniel Pinkel
Journal:  Genome Res       Date:  2002-02       Impact factor: 9.043

8.  Core biopsies can be used to distinguish differences in expression profiling by cDNA microarrays.

Authors:  Christos Sotiriou; Chand Khanna; Amir A Jazaeri; David Petersen; Edison T Liu
Journal:  J Mol Diagn       Date:  2002-02       Impact factor: 5.568

9.  Biomarker identification by feature wrappers.

Authors:  M Xiong; X Fang; J Zhao
Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

Review 10.  Molecular genetics of ovarian cancer.

Authors:  A N Shelling; W Foulkes
Journal:  Mol Biotechnol       Date:  2001-09       Impact factor: 2.695

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