Protein expression profiling identifies subclasses of breast cancer and predicts prognosis.

  title={Protein expression profiling identifies subclasses of breast cancer and predicts prognosis.},
  author={Jocelyne D. Jacquemier and Christophe Ginestier and Jacques Rougemont and V J Bardou and Emmanuelle Charafe-Jauffret and Jeannine Geneix and Jos{\'e} Ad{\'e}la{\"i}de and Alane Koki and Gilles Houvenaeghel and Jacques Hassoun and Dominique Maraninchi and Patrice Viens and Daniel Birnbaum and François Bertucci},
  journal={Cancer research},
  volume={65 3},
Breast cancer is a heterogeneous disease whose evolution is difficult to predict by using classic histoclinical prognostic factors. Prognostic classification can benefit from molecular analyses such as large-scale expression profiling. Using immunohistochemistry on tissue microarrays, we have monitored the expression of 26 selected proteins in more than 1,600 cancer samples from 552 consecutive patients with early breast cancer. Both an unsupervised approach and a new supervised method were… CONTINUE READING
91 Citations
45 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 91 extracted citations


Publications referenced by this paper.
Showing 1-10 of 45 references

Software tools for high-throughput analysis and archiving of Cancer

  • CL Liu, W Prapong, Y Natkunam
  • Research Cancer Res
  • 2005

Similar Papers

Loading similar papers…