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    A phenotype-based model for rational selection of novel targeted therapies in treating aggressive breast cancer

    (Submitter supplied) Treating unselected cancer patients with new drugs dilutes proof of efficacy when only a fraction of patients respond to therapy. We conducted a meta-analysis on eight primary breast cancer microarray datasets representing diverse breast cancer phenotypes. We present a high-throughput protocol which incorporates drug sensitivity signatures to guide preclinical testing for effective therapeutic agents. more...
    Organism:
    Homo sapiens
    Type:
    Expression profiling by array
    Platform:
    GPL570
    14 Samples
    Download data:
    GEO (CEL, CHP)
    Series
    Accession:
    GSE18331
    ID:
    200018331

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