article Open AccessTop 10% cited
An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients
Breast Cancer Research and Treatment · 2009 · Vol. 123(3) · pp. 725–731
Balázs Győrffy✉(Semmelweis University)András Lánczky(Eötvös Loránd University)Aron C. Eklund(Technical University of Denmark)Carsten Denkert(Charité - Universitätsmedizin Berlin)Jan Budczies(Charité - Universitätsmedizin Berlin)Qiyuan Li(Technical University of Denmark)Zoltán Szállási(Technical University of Denmark)
Breast Cancer Treatment StudiesGene expression and cancer classificationBioinformatics and Genomic NetworksBreast cancerOncologyProportional hazards modelHazard ratioSurvival analysisInternal medicineMedicineGene expression profilingLog-rank testQuartile
MeSH terms
AdultAgedBreast NeoplasmsComputer GraphicsFemaleGenetic MarkersHumansLymphatic MetastasisMiddle AgedNeoplasm StagingOnline SystemsPredictive Value of TestsPrognosisReceptors, EstrogenTime Factors
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4,325
FWCI
5.34
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34
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96%
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American Society of Clinical Oncology 2007 Update of Recommendations for the Use of Tumor Markers in Breast Cancer
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JNCI Journal of the National Cancer Institute · 2006 · 2,125 citations
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
BMC Genomics · 2008 · 405 citations
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 · 981 citations
Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer
Journal of Clinical Oncology · 2006 · 2,562 citations
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