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. 2003;5(6):303-4.
doi: 10.1186/bcr732. Epub 2003 Oct 9.

Microarray technology and its effect on breast cancer (re)classification and prediction of outcome

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Microarray technology and its effect on breast cancer (re)classification and prediction of outcome

Fatima Cardoso. Breast Cancer Res. 2003.
No abstract available

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References

    1. Goldhirsch A, Wood WC, Gelber RD, Coates AS, Thürlimann B, Senn HJ. Meeting Highlights: Updated International Expert Consensus on the Primary Therapy of Early Breast Cancer. J Clin Oncol. 2003;21:3357–3365. doi: 10.1200/JCO.2003.04.576. - DOI - PubMed
    1. Sotiriou C, Powles TJ, Mitch Dowsett M, Jazaeri AA, Feldman AL, Assersohn L, Gadisetti C, Libutti SK, Liu ET. Gene expression profiles derived from fine needle aspiration correlate with response to systemic chemotherapy in breast cancer. Breast Cancer Res. 2002;4:R3. doi: 10.1186/bcr433. - DOI - PMC - PubMed
    1. Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869–10874. doi: 10.1073/pnas.191367098. - DOI - PMC - PubMed
    1. Sørlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, Demeter J, Perou CM, Lønning PE, Brown PO, Børresen-Dale A-L, Botstein D. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2003;100:8418–8423. doi: 10.1073/pnas.0932692100. - DOI - PMC - PubMed
    1. van't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AAM, Mao M, Peterse HL, Van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–536. doi: 10.1038/415530a. For the Faculty of 1000 evaluation of this article please see: http://breast-cancer-research.com/reports/bcr732.asp#van't - DOI - PubMed

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