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Microarrays in breast cancer research and clinical practice - the future lies ahead

Gruvberger, Sofia LU ; Cunliffe, Heather E. ; Carr, Kristen M. and Hedenfalk, Ingrid LU orcid (2006) In Endocrine-Related Cancer 13(4). p.1017-1031
Abstract
Molecular profiling for classification and prognostic purposes has demonstrated that the genetic signatures of tumors contain information regarding biological properties as well as clinical behavior. This review highlights the progress that has been made in the field of gene expression profiling of human breast cancer. Breast cancer has become one of the most intensely studied human malignancies in the genomic era; several hundred papers over the last few years have investigated various clinical and biological aspects of human breast cancer using high-throughput molecular profiling techniques. Given the grossly heterogeneous nature of the disease and the lack of robust conventional markers for disease prediction, prognosis, and response to... (More)
Molecular profiling for classification and prognostic purposes has demonstrated that the genetic signatures of tumors contain information regarding biological properties as well as clinical behavior. This review highlights the progress that has been made in the field of gene expression profiling of human breast cancer. Breast cancer has become one of the most intensely studied human malignancies in the genomic era; several hundred papers over the last few years have investigated various clinical and biological aspects of human breast cancer using high-throughput molecular profiling techniques. Given the grossly heterogeneous nature of the disease and the lack of robust conventional markers for disease prediction, prognosis, and response to treatment, the notion that a transcriptional profile comprising multiple genes, rather than any single gene or other parameter, will be more predictive of tumor behavior is both appealing and reasonable. Promising results have emerged from these studies, correlating gene expression profiles with prognosis, recurrence, metastatic potential, therapeutic response, as well as biological and functional aspects of the disease. Clearly, the integration of genomic approaches into the clinic lies in the near future, but prospective studies based on larger patient cohorts representing the whole spectrum of breast cancer, oncogenic pathway-based studies, attendant care in bioinformatic analyses and validation studies are needed before the full promise of gene expression profiling can be realized in the clinical setting. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Endocrine-Related Cancer
volume
13
issue
4
pages
1017 - 1031
publisher
Society for Endocrinology
external identifiers
  • wos:000243968900004
  • scopus:33846784074
ISSN
1479-6821
DOI
10.1677/erc.1.01246
language
English
LU publication?
yes
id
e5d3ba80-4365-4021-8ad8-a6ea5c88b36a (old id 675243)
date added to LUP
2016-04-01 12:16:13
date last changed
2021-01-06 05:50:33
@article{e5d3ba80-4365-4021-8ad8-a6ea5c88b36a,
  abstract     = {Molecular profiling for classification and prognostic purposes has demonstrated that the genetic signatures of tumors contain information regarding biological properties as well as clinical behavior. This review highlights the progress that has been made in the field of gene expression profiling of human breast cancer. Breast cancer has become one of the most intensely studied human malignancies in the genomic era; several hundred papers over the last few years have investigated various clinical and biological aspects of human breast cancer using high-throughput molecular profiling techniques. Given the grossly heterogeneous nature of the disease and the lack of robust conventional markers for disease prediction, prognosis, and response to treatment, the notion that a transcriptional profile comprising multiple genes, rather than any single gene or other parameter, will be more predictive of tumor behavior is both appealing and reasonable. Promising results have emerged from these studies, correlating gene expression profiles with prognosis, recurrence, metastatic potential, therapeutic response, as well as biological and functional aspects of the disease. Clearly, the integration of genomic approaches into the clinic lies in the near future, but prospective studies based on larger patient cohorts representing the whole spectrum of breast cancer, oncogenic pathway-based studies, attendant care in bioinformatic analyses and validation studies are needed before the full promise of gene expression profiling can be realized in the clinical setting.},
  author       = {Gruvberger, Sofia and Cunliffe, Heather E. and Carr, Kristen M. and Hedenfalk, Ingrid},
  issn         = {1479-6821},
  language     = {eng},
  number       = {4},
  pages        = {1017--1031},
  publisher    = {Society for Endocrinology},
  series       = {Endocrine-Related Cancer},
  title        = {Microarrays in breast cancer research and clinical practice - the future lies ahead},
  url          = {http://dx.doi.org/10.1677/erc.1.01246},
  doi          = {10.1677/erc.1.01246},
  volume       = {13},
  year         = {2006},
}