Literature DB >> 19058218

How different are luminal A and basal breast cancers?

François Bertucci1, Pascal Finetti, Nathalie Cervera, Emmanuelle Charafe-Jauffret, Max Buttarelli, Jocelyne Jacquemier, Max Chaffanet, Dominique Maraninchi, Patrice Viens, Daniel Birnbaum.   

Abstract

Heterogeneity of breast cancer makes its evolution difficult to predict, and its treatment far from being optimal. At least 5 main molecular subtypes exist. Two major subtypes are luminal A and basal subtypes, which have opposite features, notably survival. To characterize these 2 subtypes better, with the hope of better understanding their different biology and clinical outcome, we have profiled a series of 138 tumours (80 luminal A and 58 basal) using Affymetrix whole-genome DNA microarrays. We have identified 5,621 probe sets as differentially expressed between the 2 subtypes in our series. These differences were validated in 6 independent public series (more than 600 tumours) profiled using different DNA microarrays platforms. Analysis of functions and pathways related to these probe sets, and the extent of the observed differences, confirmed that the 2 subtypes represent very distinct entities. Genes associated with proliferation, cell cycle, cell motility, angiogenesis, and NFkB signalling were overexpressed in basal tumours. Genes involved in fatty acid metabolism, TGFB signalling, and oestrogen receptor (ER) signalling were overexpressed in luminal A samples. Half of the genes overexpressed in luminal tumours contained ER-binding sites. The number of differentially expressed genes was as high as the set of genes discriminating 2 cancers of different anatomical origin (breast and colon) or discriminating acute myeloid and lymphoid leukaemia. We provide a comprehensive list of genes/pathways that define potential diagnostic, prognostic and therapeutic targets for these 2 subtypes, which should be treated differently given the profound differences observed at the molecular level.

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Year:  2009        PMID: 19058218     DOI: 10.1002/ijc.24055

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  31 in total

1.  TNFalpha up-regulates SLUG via the NF-kappaB/HIF1alpha axis, which imparts breast cancer cells with a stem cell-like phenotype.

Authors:  Gianluca Storci; Pasquale Sansone; Sara Mari; Gabriele D'Uva; Simona Tavolari; Tiziana Guarnieri; Mario Taffurelli; Claudio Ceccarelli; Donatella Santini; Pasquale Chieco; Kenneth B Marcu; Massimiliano Bonafè
Journal:  J Cell Physiol       Date:  2010-11       Impact factor: 6.384

2.  Exploring molecular pathways of triple-negative breast cancer.

Authors:  Valeria Ossovskaya; Yipeng Wang; Adam Budoff; Qiang Xu; Alexander Lituev; Olga Potapova; Gordon Vansant; Joseph Monforte; Nikolai Daraselia
Journal:  Genes Cancer       Date:  2011-09

3.  Precise targeting of cancer metastasis using multi-ligand nanoparticles incorporating four different ligands.

Authors:  P M Peiris; F He; G Covarrubias; S Raghunathan; O Turan; M Lorkowski; B Gnanasambandam; C Wu; W P Schiemann; E Karathanasis
Journal:  Nanoscale       Date:  2018-04-19       Impact factor: 7.790

4.  Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results.

Authors:  Sara R Savage; Zhiao Shi; Yuxing Liao; Bing Zhang
Journal:  Mol Cell Proteomics       Date:  2019-05-29       Impact factor: 5.911

5.  TCPTP regulates SFK and STAT3 signaling and is lost in triple-negative breast cancers.

Authors:  Benjamin J Shields; Florian Wiede; Esteban N Gurzov; Kenneth Wee; Christine Hauser; Hong-Jian Zhu; Timothy J Molloy; Sandra A O'Toole; Roger J Daly; Robert L Sutherland; Christina A Mitchell; Catriona A McLean; Tony Tiganis
Journal:  Mol Cell Biol       Date:  2012-11-19       Impact factor: 4.272

6.  Germline mutations and polymorphisms in the origins of cancers in women.

Authors:  Kim M Hirshfield; Timothy R Rebbeck; Arnold J Levine
Journal:  J Oncol       Date:  2010-01-10       Impact factor: 4.375

7.  A straightforward but not piecewise relationship between age and lymph node status in Chinese breast cancer patients.

Authors:  Ke-Da Yu; Jun-Jie Li; Gen-Hong Di; Jiong Wu; Zhen-Zhou Shen; Zhi-Ming Shao
Journal:  PLoS One       Date:  2010-06-09       Impact factor: 3.240

8.  A metabolic prosurvival role for PML in breast cancer.

Authors:  Arkaitz Carracedo; Dror Weiss; Amy K Leliaert; Manoj Bhasin; Vincent C J de Boer; Gaelle Laurent; Andrew C Adams; Maria Sundvall; Su Jung Song; Keisuke Ito; Lydia S Finley; Ainara Egia; Towia Libermann; Zachary Gerhart-Hines; Pere Puigserver; Marcia C Haigis; Elefteria Maratos-Flier; Andrea L Richardson; Zachary T Schafer; Pier P Pandolfi
Journal:  J Clin Invest       Date:  2012-08-13       Impact factor: 14.808

9.  A reason why the ERBB2 gene is amplified and not mutated in breast cancer.

Authors:  Daniel Birnbaum; Fabrice Sircoulomb; Jean Imbert
Journal:  Cancer Cell Int       Date:  2009-02-18       Impact factor: 5.722

Review 10.  Divide and conquer: progress in the molecular stratification of cancer.

Authors:  Patrick Tan
Journal:  Yonsei Med J       Date:  2009-08-19       Impact factor: 2.759

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