Literature DB >> 17973194

Gene arrays for diagnosis, prognosis and treatment of breast cancer metastasis.

Keltouma Driouch1, Thomas Landemaine, Soraya Sin, ShaoXiao Wang, Rosette Lidereau.   

Abstract

The advent of microarray tools has generated a massive amount of gene expression data. These data have greatly enhanced our understanding of the biology of breast cancer metastasis and provide a way to improve the prediction of the metastatic potential of breast tumours. Gene-expression profiling has highlighted the molecular heterogeneity of mammary tumours and contributed to the identification of a new molecular classification of breast cancers. In addition, several molecular signatures predicting the likelihood of distant metastases for breast cancer patients have been characterized. Further reports have described gene expression profiles associated with specific metastatic phenotypes, including the organ preference of breast cancer metastasis. Here we review the major studies that had important impacts on the understanding of breast cancer metastasis. We also discuss the future challenges in this research field and the special issues that still need to be examined.

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Year:  2007        PMID: 17973194     DOI: 10.1007/s10585-007-9110-x

Source DB:  PubMed          Journal:  Clin Exp Metastasis        ISSN: 0262-0898            Impact factor:   5.150


  51 in total

1.  A molecular signature of metastasis in primary solid tumors.

Authors:  Sridhar Ramaswamy; Ken N Ross; Eric S Lander; Todd R Golub
Journal:  Nat Genet       Date:  2002-12-09       Impact factor: 38.330

2.  Genes associated with breast cancer metastatic to bone.

Authors:  Marcel Smid; Yixin Wang; Jan G M Klijn; Anieta M Sieuwerts; Yi Zhang; David Atkins; John W M Martens; John A Foekens
Journal:  J Clin Oncol       Date:  2006-04-24       Impact factor: 44.544

3.  Limits of predictive models using microarray data for breast cancer clinical treatment outcome.

Authors:  James F Reid; Lara Lusa; Loris De Cecco; Danila Coradini; Silvia Veneroni; Maria Grazia Daidone; Manuela Gariboldi; Marco A Pierotti
Journal:  J Natl Cancer Inst       Date:  2005-06-15       Impact factor: 13.506

Review 4.  Tumor metastasis: mechanistic insights and clinical challenges.

Authors:  Patricia S Steeg
Journal:  Nat Med       Date:  2006-08       Impact factor: 53.440

5.  Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Authors:  Howard Y Chang; Dimitry S A Nuyten; Julie B Sneddon; Trevor Hastie; Robert Tibshirani; Therese Sørlie; Hongyue Dai; Yudong D He; Laura J van't Veer; Harry Bartelink; Matt van de Rijn; Patrick O Brown; Marc J van de Vijver
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-08       Impact factor: 11.205

6.  Molecular portraits and 70-gene prognosis signature are preserved throughout the metastatic process of breast cancer.

Authors:  Britta Weigelt; Zhiyuan Hu; Xiaping He; Chad Livasy; Lisa A Carey; Matthew G Ewend; Annuska M Glas; Charles M Perou; Laura J Van't Veer
Journal:  Cancer Res       Date:  2005-10-15       Impact factor: 12.701

7.  Gene expression profiles of primary breast tumors maintained in distant metastases.

Authors:  Britta Weigelt; Annuska M Glas; Lodewyk F A Wessels; Anke T Witteveen; Johannes L Peterse; Laura J van't Veer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-09       Impact factor: 11.205

8.  Lung metastasis genes couple breast tumor size and metastatic spread.

Authors:  Andy J Minn; Gaorav P Gupta; David Padua; Paula Bos; Don X Nguyen; Dimitry Nuyten; Bas Kreike; Yi Zhang; Yixin Wang; Hemant Ishwaran; John A Foekens; Marc van de Vijver; Joan Massagué
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-09       Impact factor: 11.205

Review 9.  Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.

Authors:  Lance D Miller; Edison T Liu
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

10.  Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds.

Authors:  Howard Y Chang; Julie B Sneddon; Ash A Alizadeh; Ruchira Sood; Rob B West; Kelli Montgomery; Jen-Tsan Chi; Matt van de Rijn; David Botstein; Patrick O Brown
Journal:  PLoS Biol       Date:  2004-01-13       Impact factor: 8.029

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  14 in total

1.  Integrated cross-species transcriptional network analysis of metastatic susceptibility.

Authors:  Ying Hu; Gang Wu; Michael Rusch; Luanne Lukes; Kenneth H Buetow; Jinghui Zhang; Kent W Hunter
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

Review 2.  A methodological approach to unravel organ-specific breast cancer metastasis.

Authors:  Sébastien Nola; Soraya Sin; Florian Bonin; Rosette Lidereau; Keltouma Driouch
Journal:  J Mammary Gland Biol Neoplasia       Date:  2012-05-25       Impact factor: 2.673

Review 3.  Intrinsic cancer subtypes--next steps into personalized medicine.

Authors:  Cristina Santos; Rebeca Sanz-Pamplona; Ernest Nadal; Julieta Grasselli; Sonia Pernas; Rodrigo Dienstmann; Victor Moreno; Josep Tabernero; Ramon Salazar
Journal:  Cell Oncol (Dordr)       Date:  2015-01-14       Impact factor: 6.730

4.  Protein pathway activation mapping of colorectal metastatic progression reveals metastasis-specific network alterations.

Authors:  Alessandra Silvestri; Valerie Calvert; Claudio Belluco; Michael Lipsky; Ruggero De Maria; Jianghong Deng; Alfonso Colombatti; Francesco De Marchi; Donato Nitti; Enzo Mammano; Lance Liotta; Emanuel Petricoin; Mariaelena Pierobon
Journal:  Clin Exp Metastasis       Date:  2012-09-29       Impact factor: 5.150

5.  Expression signature developed from a complex series of mouse models accurately predicts human breast cancer survival.

Authors:  Mei He; David P Mangiameli; Stefan Kachala; Kent Hunter; John Gillespie; Xiaopeng Bian; H-C Jennifer Shen; Steven K Libutti
Journal:  Clin Cancer Res       Date:  2009-12-22       Impact factor: 12.531

6.  Role of SP transcription factors in hormone-dependent modulation of genes in MCF-7 breast cancer cells: microarray and RNA interference studies.

Authors:  Fei Wu; Ivan Ivanov; Rui Xu; Stephen Safe
Journal:  J Mol Endocrinol       Date:  2008-10-24       Impact factor: 5.098

7.  Epigenetic contributions to cancer metastasis.

Authors:  David I Rodenhiser
Journal:  Clin Exp Metastasis       Date:  2008-04-02       Impact factor: 5.150

8.  Frequent genetic differences between matched primary and metastatic breast cancer provide an approach to identification of biomarkers for disease progression.

Authors:  Andrzej B Popławski; Michał Jankowski; Stephen W Erickson; Teresita Díaz de Ståhl; E Christopher Partridge; Chiquito Crasto; Jingyu Guo; John Gibson; Uwe Menzel; Carl Eg Bruder; Aneta Kaczmarczyk; Magdalena Benetkiewicz; Robin Andersson; Johanna Sandgren; Barbara Zegarska; Dariusz Bała; Ewa Srutek; David B Allison; Arkadiusz Piotrowski; Wojciech Zegarski; Jan P Dumanski
Journal:  Eur J Hum Genet       Date:  2010-01-06       Impact factor: 4.246

9.  Ceramide galactosyltransferase (UGT8) is a molecular marker of breast cancer malignancy and lung metastases.

Authors:  P Dzięgiel; T Owczarek; E Plazuk; A Gomułkiewicz; M Majchrzak; M Podhorska-Okołów; K Driouch; R Lidereau; M Ugorski
Journal:  Br J Cancer       Date:  2010-07-20       Impact factor: 7.640

Review 10.  Prediction of breast cancer metastasis by genomic profiling: where do we stand?

Authors:  Ulrich Pfeffer; Francesco Romeo; Douglas M Noonan; Adriana Albini
Journal:  Clin Exp Metastasis       Date:  2009-03-24       Impact factor: 5.150

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