Prognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasets

PLoS ONE

Volumn 3, Issue 8, 2008, Pages

  Martin, Katherine J ^a   Patrick, Denis R ^b   Bissell, Mina J ^c   Fournier, Marcia V ^b  

^a Bioarray Consulting   (United States)

^b GLAXOSMITHKLINE   (United States)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AURORA A KINASE; BETA ACTIN; ESTROGEN RECEPTOR; ONCOPROTEIN; PROTEIN CEP55; PROTEIN EPHA2; PROTEIN FGFBP1; PROTEIN RRM2; PROTEIN SERPINE2; PROTEIN VRK1; TRANSCRIPTION FACTOR FOXM1; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; BREAST CANCER; CANCER MODEL; CONTROLLED STUDY; GENE EXPRESSION; HUMAN; KAPLAN MEIER METHOD; MAJOR CLINICAL STUDY; MICROARRAY ANALYSIS; PREDICTION; PROGNOSIS; BIOLOGICAL MODEL; BREAST TUMOR; CANCER STAGING; CELL CYCLE; CLASSIFICATION; CULTURE TECHNIQUE; DNA MICROARRAY; FACTUAL DATABASE; FEMALE; GENETICS; METHODOLOGY; MORTALITY; PATHOLOGY; SURVIVAL; TREATMENT OUTCOME;

BREAST NEOPLASMS; CELL CULTURE TECHNIQUES; CELL CYCLE; DATABASES, FACTUAL; FEMALE; GENE EXPRESSION; HUMANS; MODELS, BIOLOGICAL; NEOPLASM STAGING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; RECEPTORS, ESTROGEN; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 52149124653     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0002994     Document Type: Article

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