Conclusion
Dans toutes ces études, les signatures multigéniques pronostiques et/ou prédictives paraissaient plus performantes que les classifications conventionnelles basées sur des facteurs histo-cliniques et moléculaires. Des études de validation sont, bien entendu, nécessaires avant toute application clinique sur de plus grandes séries rétrospectives de patientes. Certaines sont en cours de manière uni- ou multicentrique, et précèderont l’éventuelle incorporation de ces signatures dans des essais cliniques prospectifs, premier niveau d’application clinique de cette approche. Le succès de ces études dépendra de collaborations étroites entre chercheurs de différentes disciplines (cliniciens, anatomo-pathologistes, biologistes, bio-informaticiens, mathématiciens...;), de la qualité et de la quantité des échantillons tumoraux disponibles (avec leurs annotations informatisées cliniques, histologiques et moléculaires), de l’amélioration de la technologie et des outils d’analyse, et, bien sûr, du bon design des essais.
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Références
The Chipping Forecast (1999) Nature Genet 21 Supplement: 1–60
Granjeaud S, Bertucci F, Jordan BR (1999) Expression profiling: DNA arrays in many guises. Bioessays 21: 781–90
Bertucci F, Houlgatte R, Nguyen C et al. (2001) Gene expression profiling of cancer by use of DNA arrays: how far from the clinic? Lancet Oncol 2: 674–82
Brazma AVilo J (2000) Gene expression data analysis. FEBS Lett 480: 17–24
Bertucci F, Houlgatte R, Benziane A et al. (2000) Gene expression profiling of primary breast carcinomas using arrays of candidate genes. Hum Mol Genet 9: 2981–91
Bertucci F, Nasser V, Granjeaud S et al. (2002) Gene expression profiles of poor-prognosis primary breast cancer correlate with survival. Hum Mol Genet 11: 863–72
van’ t Veer LJ, Dai H, van De Vijver MJ et al. (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415: 530–6
van de Vijver MJ, He YD, van’t Veer LJ et al. (2002) A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347: 1999–2009
Sorlie T, Perou CM, Tibshirani R et al. (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 98: 10869–74
Sorlie T, Tibshirani R, Parker J et al. (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA 100: 8418–23
Sotiriou C, Neo SY, McShane LM et al. (2003) Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci USA 100: 10393–8
Ahr A, Karn T, Solbach C et al. (2002) Identification of high risk breastcancer patients by gene expression profiling. Lancet 359: 131–2
Ahr A, Holtrich U, Solbach C et al. (2001) Molecular classification of breast cancer patients by gene expression profiling. J Pathol 195: 312–20
Huang E, Cheng SH, Dressman H et al. (2003) Gene expression predictors of breast cancer outcomes. Lancet 361: 1590–6
Ma XJ, Wang Z, Ryan PD et al. (2004) A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 5: 607–16
Chang JC, Wooten EC, Tsimelzon A et al. (2003) Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer. Lancet 362: 362–9
Ayers M, Symmans WF, Stec J et al. (2004) Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer. J Clin Oncol 22: 2284–93
Bertucci F, Finetti P, Rougemont J et al. (2004) Gene expression profiling for molecular characterization of inflammatory breast cancer and prediction of response to chemotherapy. Cancer Res 64: 8558–65
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Bertucci, F. (2006). Profils d’expression génique et Puces à ADN dans le cancer du sein : choix du patient, choix du protocole. In: Cancer du sein. Springer, Paris. https://doi.org/10.1007/2-287-31109-2_14
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DOI: https://doi.org/10.1007/2-287-31109-2_14
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