2013
Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients
Haibe-Kains B, Desmedt C, Di Leo A, Azambuja E, Larsimont D, Selleslags J, Delaloge S, Duhem C, Kains JP, Carly B, Maerevoet M, Vindevoghel A, Rouas G, Lallemand F, Durbecq V, Cardoso F, Salgado R, Rovere R, Bontempi G, Michiels S, Buyse M, Nogaret JM, Qi Y, Symmans F, Pusztai L, D'Hondt V, Piccart-Gebhart M, Sotiriou C. Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients. Data In Brief 2013, 1: 7-10. PMID: 26484051, PMCID: PMC4608867, DOI: 10.1016/j.gdata.2013.09.001.Peer-Reviewed Original ResearchBreast cancer patientsResponse/resistanceAnthracycline monotherapyNeoadjuvant trialsGene expression signaturesNegative tumorsCancer patientsBreast cancerClinical dataEstrogen receptorClinical OncologyPredictive valuePatientsAnthracyclinesGene expressionII alphaExpression signaturesGenome-wide gene expressionMonotherapyExpressionTumorsCancerOncologyTrialsBiomarkers
2003
Clinical Application of cDNA Microarrays in Oncology
Pusztai L, Ayers M, Stec J, Hortobágyi GN. Clinical Application of cDNA Microarrays in Oncology. The Oncologist 2003, 8: 252-258. PMID: 12773747, DOI: 10.1634/theoncologist.8-3-252.Peer-Reviewed Original ResearchConceptsHundreds of genesGene expression patternsSingle-gene markersIndividual genesTranscriptional profilingCDNA microarrayMRNA speciesDNA microarraysExpression patternsComplex biologyNovel targetImportant new toolMicroarrayClinical outcomesGenesHuman tissuesImportant clinical outcomesDiseased tissuesDrug developmentTrue clinical utilityClinical utilityClinical OncologyNew toolBiologyExciting new technology