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Information from CTC measurements for metastatic breast cancer prognosis—we should do more than selecting an “optimal cut point”

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The Original Article was published on 06 December 2009

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References

  1. Botteri E, Sandri MT, Bagnardi V, Munzone E, Zorzino L, Rotmensz N, Casadio C, Cassatella MC, Esposito A, Curigliano G, Salvatici M, Verri E, Adamoli L,Goldhirsch A, Nolè F (2010) Modeling the relationship between circulating tumour cells number and prognosis of metastatic breast cancer. Breast Cancer Res Treat (epub)

  2. Hayes DF, Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Miller MC, Matera J, Allard WJ, Doyle GV, Terstappen LW (2006) Circulating tumor cells at each follow-up time point during therapy of metastatic breast cancer patients predict progression-free and overall survival. Clin Cancer Res 2:4218–4224

    Article  Google Scholar 

  3. Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, Miller MC, Reuben JM, Doyle GV, Allard WJ, Terstappen LW, Hayes DF (2004) Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med 351:781–791

    Article  CAS  PubMed  Google Scholar 

  4. Royston P, Altman DG, Sauerbrei W (2006) Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 25:127–141

    Article  PubMed  Google Scholar 

  5. Tibbe AG, Miller MC, Terstappen LW (2007) Statistical considerations for enumeration of circulating tumor cells. Cytometry A 71:154–162

    PubMed  Google Scholar 

  6. Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. British Med J 339:157–160

    Google Scholar 

  7. Royston P, Sauerbrei W (2008) Multivariable model-building: a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables. Wiley, Chichester

    Google Scholar 

  8. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM for the Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics (2006) Reporting recommendations for tumor marker prognostic studies (REMARK). Breast Cancer Res Treat 100: 229–35

    Google Scholar 

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Correspondence to T. Fehm.

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This is an invited commentary to article doi: 10.1007/s10549-009-0668-7

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Fehm, T., Sauerbrei, W. Information from CTC measurements for metastatic breast cancer prognosis—we should do more than selecting an “optimal cut point”. Breast Cancer Res Treat 122, 219–220 (2010). https://doi.org/10.1007/s10549-010-0762-x

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  • DOI: https://doi.org/10.1007/s10549-010-0762-x

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