Molecular portraits of human breast tumours

  title={Molecular portraits of human breast tumours},
  author={Charles M. Perou and Therese S{\o}rlie and Michael B. Eisen and Matt van de Rijn and Stefanie S. Jeffrey and Christian A. Rees and Jonathan R. Pollack and Douglas Teller Ross and Hilde Johnsen and Lars A. Akslen and {\O}ystein Fluge and Alexander Pergamenschikov and Cheryl F. Williams and Shirley X. Zhu and Per Eystein L{\o}nning and Anne-Lise B{\o}rresen-Dale and Patrick O. Brown and David Botstein},
Human breast tumours are diverse in their natural history and in their responsiveness to treatments. [] Key Method 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.
Functional and genomic characterisation of a xenograft model system for the study of metastasis in triple-negative breast cancer
A model system based on MDA-MB-231 cells should be useful for the assessment of gene function in the metastatic cascade and also for the testing of novel experimental therapeutics for the treatment of TNBC.
Genetic Profiling of Breast Cancer: From Molecular Portraits to Clinical Utility
A first attempt to use microarrays to characterize breast tumors showed that there was great molecular heterogeneity among the tumors with multidimensional variation in the patterns of gene expression, suggesting that every tumor is unique and has a distinctive gene expression signature or portrait.
Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes
The study suggests that transcription factors responsible for the observed expression pattern in breast cancers may lead us to important biological pathways.
Introducing molecular subtyping of breast cancer into the clinic?
  • T. Sørlie
  • Biology
    Journal of clinical oncology : official journal of the American Society of Clinical Oncology
  • 2009
A risk prediction model for breast cancer developed from expression data of 50 genes representing the five intrinsic molecular subtypes shows that the intrinsic subtypes are present in several tumor cohorts, both those positive or negative for estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER-2), and are associated with significant differences in relapse-free survival in several published breast cancer microarray data sets.
cDNA microarray profiles of canine mammary tumour cell lines reveal deregulated pathways pertaining to their phenotype.
Comparisons of gene expression profiles showed enrichment for distinct biological pathways and were related to biological properties of the cell lines such as growth rate and in vitro tumourigenicity, which are the basis for further characterization of canine mammary carcinomas and development of new therapies directed towards specific pathways.
Molecular Biology of Breast Cancer
The challenge for the future is the development of individualised therapies that are specific to each patient's tumour type, and whether specific molecular pathways establish the subtype of breast cancer or whether different cell types become transformed and give rise to each tumour subtype.
The biological heterogeneity of oestrogen receptor positive breast cancer and its phenotypic characterisation
The results emphasised the heterogeneity of luminal/ER-positive BC, as the poor prognosis cluster was significantly characterised by high tumour grade and frequent development of distant metastasis.
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Comprehensive molecular portraits of human breast tumors
The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.


Systematic variation in gene expression patterns in human cancer cell lines
Using cDNA microarrays to explore the variation in expression of approximately 8,000 unique genes among the 60 cell lines used in the National Cancer Institute's screen for anti-cancer drugs provided a novel molecular characterization of this important group of human cell lines and their relationships to tumours in vivo.
Distinctive gene expression patterns in human mammary epithelial cells and breast cancers.
The results support the feasibility and usefulness of this systematic approach to studying variation in gene expression patterns in human cancers as a means to dissect and classify solid tumors.
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
It is shown that there is diversity in gene expression among the tumours of DLBCL patients, apparently reflecting the variation in tumour proliferation rate, host response and differentiation state of the tumour.
Detection and quantitation of HER-2/neu gene amplification in human breast cancer archival material using fluorescence in situ hybridization.
FISH is compared to Southern, Northern and Western blot analyses as well as immunohistochemistry in a large cohort of archival human breast cancer specimens and is found to be superior to all other methodologies tested in assessing formalin fixed, paraffin embedded material for HER-2/neu amplification.
GATA‐3 is expressed in association with estrogen receptor in breast cancer
GATA‐3, in association with ER, is likely to regulate genes critical to the hormone‐responsive breast cancer phenotype, as indicated by the results of experiments conducted on breast carcinoma cell lines discordant for estrogen receptor (ER) expression.
Biological and prognostic significance of stratified epithelial cytokeratins in infiltrating ductal breast carcinomas
Abstract The biological significance of the differential expression of cytokeratin (CK) polypeptides in breast carcinomas is unclear. We examined the CK profiles of 101 primary infiltrating ductal
Combining SSH and cDNA microarrays for rapid identification of differentially expressed genes.
It is concluded that SSH and microarray technology can be successfully applied to identify differentially expressed genes without the need to obtain previously cloned cDNAs.
Keratin expression in human mammary epithelial cells cultured from normal and malignant tissue: relation to in vivo phenotypes and influence of medium.
The invasive phenotype, which in its keratin profile corresponds to the differentiated luminal cell and that of the metastatic cancer lines, cannot be cultured from primary breast cancers using MX, which supports proliferation of the corresponding normal cell.
Characterization of breast carcinomas by two monoclonal antibodies distinguishing myoepithelial from luminal epithelial cells.
  • R. Nagle, W. Böcker, E. Jarasch
  • Biology
    The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society
  • 1986
Two monoclonal antibodies, KA 1 and KA 4, raised against human epidermis, were biochemically and immunologically characterized and were shown to react with specific cytokeratin polypeptides and distinguish between myoepithelial and luminal epithelial cells on frozen sections of human mammary gland.