Combining gene signatures improves prediction of breast cancer survival

PLoS ONE

Volumn 6, Issue 3, 2011, Pages

  Zhao, Xi ^a,b   Rødland, Einar Andreas ^b   Sørlie, Therese ^a   Naume, Bjørn ^c   Langerød, Anita ^a   Frigessi, Arnoldo ^b,d   Kristensen, Vessela N ^a,b   Børresen Dale, Anne Lise ^a,b   Lingjærde, Ole Christian ^b  

^a OSLO UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c OSLO UNIVERSITY HOSPITAL   (Norway)

^d NORWEGIAN COMPUTING CENTER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ESTROGEN RECEPTOR; MESSENGER RNA; PROGESTERONE RECEPTOR; PROTEIN P53;

ARTICLE; BREAST CANCER; CANCER GRADING; CANCER MORTALITY; CANCER RECURRENCE; CANCER RISK; CANCER SURVIVAL; CLASSIFIER; CONTROLLED STUDY; GENE; GENE EXPRESSION; GENE IDENTIFICATION; GENE MUTATION; GENE SIGNATURE; GENOME; HISTOPATHOLOGY; HUMAN; MAJOR CLINICAL STUDY; METHODOLOGY; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; BIOASSAY; BIOLOGICAL MODEL; BREAST TUMOR; CHROMOSOME MAP; CLUSTER ANALYSIS; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; KAPLAN MEIER METHOD; MULTIVARIATE ANALYSIS; PROGNOSIS; RISK FACTOR; TUMOR GENE;

BREAST NEOPLASMS; CHROMOSOME MAPPING; CLUSTER ANALYSIS; ENDPOINT DETERMINATION; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENES, NEOPLASM; HUMANS; KAPLAN-MEIER ESTIMATE; MODELS, GENETIC; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RISK FACTORS;

EID: 79952502399     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0017845     Document Type: Article

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