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Title of Journal: Breast Cancer Res Treat

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Abbravation: Breast Cancer Research and Treatment

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Springer US

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DOI

10.1016/0009-2797(93)90120-n

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ISSN

1573-7217

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A 38gene expression signature to predict metastas

Authors: Pascal Jézéquel Mario Campone Henri Roché Wilfried Gouraud Catherine Charbonnel Gabriel Ricolleau Florence Magrangeas Stéphane Minvielle Jean Genève AnneLaure Martin Régis Bataille Loïc Campion
Publish Date: 2008/11/20
Volume: 116, Issue: 3, Pages: 509-520
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Abstract

Currently no prognostic geneexpression signature GES established from nodepositive breast cancer cohorts able to predict evolution after systemic adjuvant chemotherapy exists Geneexpression profiles of 252 nodepositive breast cancer patients median followup 77 years mostly included in a randomized clinical trial PACS01 receiving systemic adjuvant regimen were determined by means of cDNA custom array In the training cohort we established a GES composed of 38 genes 38GES for the purpose of predicting metastasisfree survival The 38GES yielded unadjusted hazard ratio HR of 486 95 confidence interval = 276–856 Even when adjusted with the best two clinicopathological prognostic indexes Nottingham prognostic index NPI and Adjuvant 38GES HRs were 330 181–599 and 340 185–624 respectively Furthermore 38GES improved NPI and Adjuvant classification In particular NPI intermediaterisk patients were divided into 2/3 close to lowrisk group and 1/3 close to highrisk group HR = 697 251–1936 Similarly Adjuvant intermediaterisk patients were divided into 2/3 close to lowrisk group and 1/3 close to highrisk group HR = 434 164–1148 The 38GES was validated on geneexpression datasets from three external nodepositive breast cancer subcohorts n = 224 generated from different microarray platforms with HR = 295 174–501 Moreover 38GES showed prognostic performance in supplementary cohorts with different lymphnode status and endpoints 1040 new patients The 38GES represents a robust tool able to type systemic adjuvant treated nodepositive patients at high risk of metastatic relapse and is especially powerful to refine NPI and Adjuvant classification for those patientsThis study was supported by SANOFIAVENTISFrance PFIZERFrance and Cancéropôle Grand Ouest A part of the tissues used in this work was provided by Institut Régional du Cancer NantesAtlantique tumor bank funded by the Institut National du Cancer and the Cancéropôle Grand Ouest We thank M Martin E Ollivier N Roi and E Beguet for technical assistance

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