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The molecular portraits of breast tumors are conserved across microarray platforms

BMC Genomics · 2006 · Vol. 7(1) · pp. 96–96
Zhiyuan HuCheng FanDaniel OhJ. S. MarronXiaping HeBahjat F. QaqishChad LivasyLisa A. CareyEvangeline ReynoldsLynn G. DresslerAndrew B. NobelJoel S. ParkerMatthew G. EwendLynda SawyerJunyuan WuYudong LiuRita NandaMaria TretiakovaAlejandra Ruiz OrricoDonna DreherJuan PalazzoLaurent PerreardEdward William NelsonMary C. MoneHeidi J. HansenMichael E. MullinsJohn F. QuackenbushMatthew J. EllisOlufunmilayo I. OlopadePhilip S. BernardCharles M. Perou

Abstract

This study validates the "breast tumor intrinsic" subtype classification as an objective means of tumor classification that should be translated into a clinical assay for further retrospective and prospective validation. In addition, our method of combining existing data sets can be used to robustly validate the potential clinical value of any new gene expression profile.

Gene expression and cancer classificationMolecular Biology Techniques and ApplicationsAI in cancer detectionBreast cancerDNA microarrayBiologyData setGene expression profilingMicroarray analysis techniquesComputational biologyGeneComputer scienceBioinformatics

MeSH terms

Breast NeoplasmsFemaleHumansPredictive Value of TestsResearch DesignReproducibility of ResultsGene Expression Regulation, NeoplasticCluster AnalysisSurvival AnalysisConserved SequenceSample SizeGenetic Predisposition to DiseaseOligonucleotide Array Sequence AnalysisGenes, Neoplasm

Funding

  • National Science Foundation
  • Breast Cancer Research Foundation
  • National Institutes of Health
  • University of North Carolina at Chapel Hill
  • National Cancer Institute
  • National Institute of Environmental Health Sciences
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