Genome Biology

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High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer

Suet F Chin, Andrew E Teschendorff, John C Marioni, Yanzhong Wang, Nuno L Barbosa-Morais, Natalie P Thorne, Jose L Costa, Sarah E Pinder, Mark A van de Wiel, Andrew R Green, Ian O Ellis, Peggy L Porter, Simon Tavaré, James D Brenton, Bauke Ylstra and Carlos Caldas*

  • * Corresponding author: Carlos Caldas cc234@cam.ac.uk

  • † Equal contributors

Genome Biology 2007, 8:R215 doi:10.1186/gb-2007-8-10-r215

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The breast cancer genome - a key for better oncology

Hans Vollan, Carlos Caldas BMC Cancer 2011, 11:501 (30 November 2011)

This article is part of a collection on BMC Cancer's 10th...

Research article   Open Access

Consistent metagenes from cancer expression profiles yield agent specific predictors of chemotherapy response

Qiyuan Li, Aron C Eklund, Nicolai J Birkbak, Christine Desmedt, Benjamin Haibe-Kains, Christos Sotiriou, W Fraser Symmans, Lajos Pusztai, Søren Brunak, Andrea L Richardson, Zoltan Szallasi BMC Bioinformatics 2011, 12:310 (28 July 2011)

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Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer

Hiroko K Solvang, Ole Lingjærde, Arnoldo Frigessi, Anne-Lise Børresen-Dale, Vessela N Kristensen BMC Bioinformatics 2011, 12:197 (24 May 2011)

This article is part of a collection on RECOMB CCB

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Increased entropy of signal transduction in the cancer metastasis phenotype

Andrew E Teschendorff, Simone Severini BMC Systems Biology 2010, 4:104 (30 July 2010)

Metastatic breast cancer is associated with a higher degree of randomness in signal transduction patterns and can be identified by measuring the entropy within integrated protein interaction mRNA expression networks.

Software   Open Access

CGHpower: exploring sample size calculations for chromosomal copy number experiments

Ilari Scheinin, José A Ferreira, Sakari Knuutila, Gerrit A Meijer, Mark A van de Wiel, Bauke Ylstra BMC Bioinformatics 2010, 11:331 (17 June 2010)

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High-resolution genomic and expression analyses of copy number alterations in HER2-amplified breast cancer

Johan Staaf, Göran Jönsson, Markus Ringnér, Johan Vallon-Christersson, Dorthe Grabau, Adalgeir Arason, Haukur Gunnarsson, Bjarni A Agnarsson, Per-Olof Malmström, Oskar Johannsson, Niklas Loman, Rosa B Barkardottir, Åke Borg Breast Cancer Research 2010, 12:R25 (6 May 2010)

A survey of copy number alterations in HER2+ breast tumors using a combination of array comparative genomic hybridization and gene expression analyses pinpoints significant genomic aberrations, including potentially novel therapeutic targets.

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Altered serotonin physiology in human breast cancers favors paradoxical growth and cell survival

Vaibhav P Pai, Aaron M Marshall, Laura L Hernandez, Arthur R Buckley, Nelson D Horseman Breast Cancer Research 2009, 11:R81 (10 November 2009)

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Genomic profiling of breast tumours in relation to BRCA abnormalities and phenotypes

Olafur Stefansson, Jon Jonasson, Oskar Johannsson, Kristrun Olafsdottir, Margret Steinarsdottir, Sigridur Valgeirsdottir, Jorunn Eyfjord Breast Cancer Research 2009, 11:R47 (9 July 2009)

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Integrated analysis of DNA copy number and gene expression microarray data using gene sets

Renée X Menezes, Marten Boetzer, Melle Sieswerda, Gert-Jan B van Ommen, Judith M Boer BMC Bioinformatics 2009, 10:203 (29 June 2009)

Research article   Open Access

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line

Aslaug Muggerud, Henrik Edgren, Maija Wolf, Kristine Kleivi, Emelyne Dejeux, Jörg Tost, Therese Sørlie, Olli Kallioniemi BMC Medical Genomics 2009, 2:26 (11 May 2009)

The RIC8A gene is identified as a putative breast cancer tumor-suppressor by a novel combination of array-CGH with non-sense mediated mRNA decay and gene expression data, and shows association with aggressive TP53 mutant tumors in vitro.

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MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neu receptor status in breast cancer

Aoife J Lowery, Nicola Miller, Amanda Devaney, Roisin E McNeill, Pamela A Davoren, Christophe Lemetre, Vladimir Benes, Sabine Schmidt, Jonathon Blake, Graham Ball, Michael J Kerin Breast Cancer Research 2009, 11:R27 (11 May 2009)

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High-resolution analysis of copy number alterations and associated expression changes in ovarian tumors

Peter M Haverty, Lawrence S Hon, Joshua S Kaminker, John Chant, Zemin Zhang BMC Medical Genomics 2009, 2:21 (6 May 2009)

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The breast cancer somatic 'muta-ome': tackling the complexity

Andrew E Teschendorff, Carlos Caldas Breast Cancer Research 2009, 11:301 (30 March 2009)

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High-resolution array CGH clarifies events occurring on 8p in carcinogenesis

Susanna L Cooke, Jessica CM Pole, Suet-Feung Chin, Ian O Ellis, Carlos Caldas, Paul AW Edwards BMC Cancer 2008, 8:288 (7 October 2008)

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PMC42, a breast progenitor cancer cell line, has normal-like mRNA and microRNA transcriptomes

Anna Git, Inmaculada Spiteri, Cherie Blenkiron, Mark J Dunning, Jessica CM Pole, Suet-Feung Chin, Yanzhong Wang, James Smith, Frederick J Livesey, Carlos Caldas Breast Cancer Research 2008, 10:R54 (27 June 2008)

Breast cancer cell line PMC42 is a good model for normal breast epithelium, providing a unique biological tool to study breast differentiation and the function of key miRNAs typically lost in cancer.

Method   Open Access

GeneCount: genome-wide calculation of absolute tumor DNA copy numbers from array comparative genomic hybridization data

Heidi Lyng, Malin Lando, Runar S Brøvig, Debbie H Svendsrud, Morten Johansen, Eivind Galteland, Odd T Brustugun, Leonardo A Meza-Zepeda, Ola Myklebost, Gunnar B Kristensen, Eivind Hovig, Trond Stokke Genome Biology 2008, 9:R86 (23 May 2008)

GeneCount is a new method for exploring gene dosages and intratumor copy number heterogeneity in cancers from clinical array comparative genomic hybridization data.

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Reasons for breast cancer heterogeneity

François Bertucci, Daniel Birnbaum Journal of Biology 2008, 7:6 (22 February 2008)

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MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype

Cherie Blenkiron, Leonard D Goldstein, Natalie P Thorne, Inmaculada Spiteri, Suet-Feung Chin, Mark J Dunning, Nuno L Barbosa-Morais, Andrew E Teschendorff, Andrew R Green, Ian O Ellis, Simon Tavaré, Carlos Caldas, Eric A Miska Genome Biology 2007, 8:R214 (8 October 2007)

Integrated analysis of miRNA expression and genomic changes in human breast tumors allows the classification of tumor subtypes.