Skip to main content
Log on / register
Feedback
|
Support
|
My details
home
|
journals A-Z
|
subject areas
|
advanced search
|
authors
|
reviewers
|
libraries
|
about
|
my BioMed Central
Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.
Pawitan Y, Bjöhle J, Amler L, Borg AL, Egyhazi S, Hall P, Han X, Holmberg L, Huang F, Klaar S, Liu ET, Miller L, Nordgren H, Ploner A, Sandelin K, Shaw PM, Smeds J, Skoog L, Wedrén S, Bergh J
Breast Cancer Res
2005,
7
:R953-64
[
Full text
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
printer friendly
20 per page
50 per page
200 per page
500 per page
selected items
abstract
no abstract
any time period
7 Days
14 Days
30 Days
60 Days
90 Days
180 Days
1 Year
by date
by relevance
all 24 results
this page
selected items
to
Endnote (no abstracts)
Endnote + abstracts
Ref. Manager (no abstracts)
Ref. Manager + abstracts
RefWorks (no abstracts)
RefWorks + abstracts
BibTeX (no abstracts)
BibTeX + abstracts
ProCite (no abstracts)
ProCite + abstracts
[
Help
]
BioMed Central articles that cite the above article:
1.
Research
Survival Online: a web-based service for the analysis of correlations between gene expression and clinical and follow-up data
Corradi L, Mirisola V, Porro I, Torterolo L, Fato M, Romano P, Pfeffer U
BMC Bioinformatics
2009,
10
(Suppl 12):S10
(15 October 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
2.
Research
mRNA expression profiles show differential regulatory effects of microRNAs between estrogen receptor-positive and estrogen receptor-negative breast cancer
Cheng C, Fu X, Alves P, Gerstein M
Genome Biology
2009,
10
:R90
(1 September 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
3.
Methodology article
CLEAN: CLustering Enrichment ANalysis
Freudenberg JM, Joshi VK, Hu Z, Medvedovic M
BMC Bioinformatics
2009,
10
:234
(29 July 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
4.
Research article
Effects of sample size on robustness and prediction accuracy of a prognostic gene signature
Kim SY
BMC Bioinformatics
2009,
10
:147
(16 May 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
1 comment
]
5.
Database
PrognoScan: a new database for meta-analysis of the prognostic value of genes
Mizuno H, Kitada K, Nakai K, Sarai A
BMC Medical Genomics
2009,
2
:18
(24 April 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
6.
Research article
T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers
Rody A, Holtrich U, Pusztai L, Liedtke C, Gaetje R, Ruckhaeberle E, Solbach C, Hanker L, Ahr A, Metzler D, Engels K, Karn T, Kaufmann M
Breast Cancer Research
2009,
11
:R15
(9 March 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
7.
Methodology article
Selecting control genes for RT-QPCR using public microarray data
Popovici V, Goldstein DR, Antonov J, Jaggi R, Delorenzi M, Wirapati P
BMC Bioinformatics
2009,
10
:42
(2 February 2009)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
8.
Research article
Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer
Thomassen M, Tan Q, Kruse TA
BMC Cancer
2008,
8
:394
(30 December 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
9.
Research article
A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer
Reyal F, van Vliet MH, Armstrong NJ, Horlings HM, de Visser KE, Kok M, Teschendorff AE, Mook S, van 't Veer L, Caldas C, Salmon RJ, Vijver MJ, Wessels LFA
Breast Cancer Research
2008,
10
:R93
(13 November 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
10.
Research article
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Niida A, Smith AD, Imoto S, Tsutsumi S, Aburatani H, Zhang MQ, Akiyama T
BMC Bioinformatics
2008,
9
:404
(29 September 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
11.
Research article
The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets
improving meta-analysis and prediction of prognosis
Sims AH, Smethurst GJ, Hey Y, Okoniewski MJ, Pepper SD, Howell A, Miller CJ, Clarke RB
BMC Medical Genomics
2008,
1
:42
(21 September 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
12.
Research article
Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data
Liu J, Campen A, Huang S, Peng SB, Ye X, Palakal M, Dunker AK, Xia Y, Li S
BMC Medical Genomics
2008,
1
:39
(11 September 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
13.
Research article
Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability
van Vliet MH, Reyal F, Horlings HM, van de Vijver MJ, Reinders MJT, Wessels LFA
BMC Genomics
2008,
9
:375
(6 August 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
14.
Research article
Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures
Wirapati P, Sotiriou C, Kunkel S, Farmer P, Pradervand S, Haibe-Kains B, Desmedt C, Ignatiadis M, Sengstag T, Schütz F, Goldstein DR, Piccart M, Delorenzi M
Breast Cancer Research
2008,
10
:R65
(28 July 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
15.
Methodology article
A gene sets approach for identifying prognostic gene signatures for outcome prediction
Kim SY, Kim YS
BMC Genomics
2008,
9
:177
(16 April 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
16.
Research article
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Xu L, Tan AC, Winslow RL, Geman D
BMC Bioinformatics
2008,
9
:125
(27 February 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
17.
Method
Correction of technical bias in clinical microarray data improves concordance with known biological information
Eklund AC, Szallasi Z
Genome Biology
2008,
9
:R26
(4 February 2008)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
18.
Research
An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer
Teschendorff AE, Miremadi A, Pinder SE, Ellis IO, Caldas C
Genome Biology
2007,
8
:R157
(2 August 2007)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
19.
Methodology article
RNA quality in frozen breast cancer samples and the influence on gene expression analysis
a comparison of three evaluation methods using microcapillary electrophoresis traces
Strand C, Enell J, Hedenfalk I, Fernö M
BMC Molecular Biology
2007,
8
:38
(22 May 2007)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
20.
Research
A consensus prognostic gene expression classifier for ER positive breast cancer
Teschendorff AE, Naderi A, Barbosa-Morais NL, Pinder SE, Ellis IO, Aparicio S, Brenton JD, Caldas C
Genome Biology
2006,
7
:R101
(31 October 2006)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
[
1 comment
]
21.
Review
High-throughput genomic technology in research and clinical management of breast cancer. Exploiting the potential of gene expression profiling: is it ready for the clinic?
Sims AH, Ong KR, Clarke RB, Howell A
Breast Cancer Research
2006,
8
:214
(11 October 2006)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
22.
Research article
Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients
Calza S, Hall P, Auer G, Bjöhle J, Klaar S, Kronenwett U, Liu ET, Miller L, Ploner A, Smeds J, Bergh J, Pawitan Y
Breast Cancer Research
2006,
8
:R34
(17 July 2006)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
23.
Research article
Hormone-replacement therapy influences gene expression profiles and is associated with breast-cancer prognosis: a cohort study
Hall P, Ploner A, Bjöhle J, Huang F, Lin CY, Liu ET, Miller LD, Nordgren H, Pawitan Y, Shaw P, Skoog L, Smeds J, Wedrén S, Öhd J, Bergh J
BMC Medicine
2006,
4
:16
(30 June 2006)
[
Abstract
]
[
Full text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
[
Cited on BioMed Central
]
24.
Review
A systems approach to clinical oncology: Focus on breast cancer
Abramovitz M, Leyland-Jones B
Proteome Science
2006,
4
:5
(4 April 2006)
[
Abstract
]
[
Full Text
]
[
PDF
]
[
PubMed
]
[
Related articles
]
This article is also cited by a further
18 articles
in PubMed Central
You can also
check ISI Web of Science
for additional citations (subscription required)
printer friendly
20 per page
50 per page
200 per page
500 per page
selected items
abstract
no abstract
any time period
7 Days
14 Days
30 Days
60 Days
90 Days
180 Days
1 Year
by date
by relevance
all 24 results
this page
selected items
to
Endnote (no abstracts)
Endnote + abstracts
Ref. Manager (no abstracts)
Ref. Manager + abstracts
RefWorks (no abstracts)
RefWorks + abstracts
BibTeX (no abstracts)
BibTeX + abstracts
ProCite (no abstracts)
ProCite + abstracts
[
Help
]
Terms and Conditions
Privacy statement
Information for advertisers
Jobs at BMC
Contact us
© 1999-2009 BioMed Central Ltd unless otherwise stated. Part of
Springer Science+Business Media
.