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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 Biol
2006,
7
:R101
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BioMed Central articles that cite the above article:
1.
Research article
Intrinsic bias in breast cancer gene expression data sets
Mosley JD, Keri RA
BMC Cancer
2009,
9
:214
(29 June 2009)
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Effects of sample size on robustness and prediction accuracy of a prognostic gene signature
Kim SY
BMC Bioinformatics
2009,
10
:147
(16 May 2009)
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3.
Editorial
Approaches towards expression profiling the response to treatment
Sims AH, Bartlett JMS
Breast Cancer Research
2008,
10
:115
(8 December 2008)
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4.
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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)
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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)
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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,
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:R65
(28 July 2008)
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Meta-analysis confirms BCL2 is an independent prognostic marker in breast cancer
Callagy GM, Webber MJ, Pharoah PDP, Caldas C
BMC Cancer
2008,
8
:153
(29 May 2008)
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Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort
Azzato EM, Driver KE, Lesueur F, Shah M, Greenberg D, Easton DF, Teschendorff AE, Caldas C, Caporaso NE, Pharoah PDP
Breast Cancer Research
2008,
10
:R47
(28 May 2008)
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Cell cycle correlated genes dictate the prognostic power of breast cancer gene lists
Mosley JD, Keri RA
BMC Medical Genomics
2008,
1
:11
(25 April 2008)
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Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy
Niméus-Malmström E, Krogh M, Malmström P, Strand C, Fredriksson I, Karlsson P, Nordenskjöld B, Stål O, Östberg G, Peterson C, Fernö M
Breast Cancer Research
2008,
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:R34
(22 April 2008)
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11.
Methodology article
A gene sets approach for identifying prognostic gene signatures for outcome prediction
Kim SY, Kim YS
BMC Genomics
2008,
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:177
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Merging microarray data from separate breast cancer studies provides a robust prognostic test
Xu L, Tan AC, Winslow RL, Geman D
BMC Bioinformatics
2008,
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:125
(27 February 2008)
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Building pathway clusters from Random Forests classification using class votes
Pang H, Zhao H
BMC Bioinformatics
2008,
9
:87
(6 February 2008)
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High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer
Chin SF, Teschendorff AE, Marioni JC, Wang Y, Barbosa-Morais NL, Thorne NP, Costa JL, Pinder SE, van de Wiel MA, Green AR, Ellis IO, Porter PL, Tavaré S, Brenton JD, Ylstra B, Caldas C
Genome Biology
2007,
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:R215
(7 October 2007)
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Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome
Zhang Z, Chen D, Fenstermacher DA
BMC Genomics
2007,
8
:331
(20 September 2007)
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16.
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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)
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This article is also cited by a further
6 articles
in PubMed Central
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