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A Gene-Expression Signature as a Predictor of Survival in Breast Cancer

New England Journal of Medicine · 2002 · Vol. 347(25) · pp. 1999–2009

Marc J. van de Vijver✉(The Netherlands Cancer Institute)Yudong D. HeLaura van ‘t Veer(The Netherlands Cancer Institute)Hongyue DaiAugustinus A. M. Hart(The Netherlands Cancer Institute)Dorien W. Voskuil(The Netherlands Cancer Institute)George J. SchreiberJohannes L. Peterse(The Netherlands Cancer Institute)Chris RobertsMatthew J. MartonMark L ParrishDouwe E. Atsma(The Netherlands Cancer Institute)Anke Witteveen(The Netherlands Cancer Institute)Annuska M. Glas(The Netherlands Cancer Institute)Leonie Delahaye(The Netherlands Cancer Institute)Tony van der Velde(Dutch Cancer Society)Harry Bartelink(Oncode Institute)Sjoerd Rodenhuis(The Netherlands Cancer Institute)Emiel J. Rutgers(The Netherlands Cancer Institute)Stephen FriendRené Bernards(The Netherlands Cancer Institute)

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Abstract

The gene-expression profile we studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.

Breast Cancer Treatment Studies Gene expression and cancer classification HER2/EGFR in Cancer ResearchMedicineHazard ratioBreast cancerInternal medicineOncologyProportional hazards modelGene signatureLymph nodeConfidence intervalStage (stratigraphy)

MeSH terms

AdultAge FactorsBreast NeoplasmsFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm MetastasisPrognosisCohort StudiesMultivariate AnalysisProportional Hazards ModelsSurvival AnalysisPatient SelectionOligonucleotide Array Sequence Analysis

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