Limits of predictive models using microarray data for breast cancer clinical treatment outcome.

@article{Reid2005LimitsOP,
  title={Limits of predictive models using microarray data for breast cancer clinical treatment outcome.},
  author={James F. Reid and Lara Lusa and Loris De Cecco and Danila Coradini and Silvia Veneroni and Maria Grazia Daidone and Manuela Gariboldi and Marco Alessandro Pierotti},
  journal={Journal of the National Cancer Institute},
  year={2005},
  volume={97 12},
  pages={927-30}
}
Data from microarray studies have been used to develop predictive models for treatment outcome in breast cancer, such as a recently proposed predictive model for antiestrogen response after tamoxifen treatment that was based on the expression ratio of two genes. We attempted to validate this model on an independent cohort of 58 patients with resectable estrogen receptor-positive breast cancer. We measured expression of the genes HOXB13 and IL17BR with real time-quantitative polymerase chain… CONTINUE READING
54 Citations
23 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 54 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Breast cancer classi fi cation and prognosis based on gene expression pro fi les from a population - based study

  • C Sotiriou, SY Neo, LM McShane, EL Korn, PM Long, A Jazaeri
  • Proc Natl Acad Sci U S A
  • 2003

Similar Papers

Loading similar papers…