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Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series
Clinical Cancer Research · 2007 · Vol. 13(11) · pp. 3207–3214
Christine Desmedt✉(Institut Jules Bordet)Fanny Piette(International Drug Development)Sherene Loi(Institut Jules Bordet)Yixin Wang(Johnson & Johnson (United States))Françoise Lallemand(Institut Jules Bordet)Benjamin Haibe‐Kains(Université Libre de Bruxelles)Giuseppe Viale(University of Milan)Mauro Delorenzi(SIB Swiss Institute of Bioinformatics)Yi Zhang(Johnson & Johnson (United States))Mahasti Saghatchian d'Assignies(Institut Gustave Roussy)Jonas Bergh(Karolinska Institutet)Rosette Lidereau(Hôpital René Huguenin)Peter Ellis(Guy's Hospital)Adrian L. Harris(John Radcliffe Hospital)Jan G.M. KlijnJohn A. FoekensFátima Cardoso(Institut Jules Bordet)Martine Piccart(Institut Jules Bordet)Marc Buyse(International Drug Development)Christos Sotiriou(Université Libre de Bruxelles)
Abstract
This independent validation confirmed the performance of the 76-gene signature and adds to the growing evidence that gene expression signatures are of clinical relevance, especially for identifying patients at high risk of early distant metastases.
Breast Cancer Treatment StudiesCancer Genomics and DiagnosticsCancer-related Molecular PathwaysMedicineBreast cancerInternal medicineHazard ratioOncologyProportional hazards modelGene signatureLymph nodeCancerConfidence interval
MeSH terms
AdultBreast NeoplasmsFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm MetastasisPrognosisRiskTime FactorsBiomarkers, TumorReproducibility of ResultsTreatment OutcomeGene Expression ProfilingGenomics
Funding
- Karolinska Institutet
- Institut Gustave-Roussy
Citations
981
FWCI
30.65
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18
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100%
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References
Gene expression profiling predicts clinical outcome of breast cancer
Nature · 2002 · 9,574 citations
Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer
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