Research Topics

Genomes and Genes

Species

N Harbeck

Summary

Affiliation: Klinikum rechts der Isar
Country: Germany

Publications

  1. request reprint
    Harbeck N, Alt U, Berger U, Kates R, Kruger A, Thomssen C, et al. Long-term follow-up confirms prognostic impact of PAI-1 and cathepsin D and L in primary breast cancer. Int J Biol Markers. 2000;15:79-83 pubmed
    ..001). In conclusion, tumor-associated PAI-1 and cathepsins D and L provide significant, statistically independent prognostic information for DFS and OS in primary breast cancer, even after a median follow-up period of almost 10 years...
  2. request reprint
    Harbeck N, Kates R, Ulm K, Graeff H, Schmitt M. Neural network analysis of follow-up data in primary breast cancer. Int J Biol Markers. 2000;15:116-22 pubmed
    ..Nonetheless, the improvement of risk group discrimination represents an important step toward the use of neural networks for decision support in a clinical framework and in making the most of biological markers...
  3. request reprint
    Harbeck N, Kates R, Gauger K, Willems A, Kiechle M, Magdolen V, et al. Urokinase-type plasminogen activator (uPA) and its inhibitor PAI-I: novel tumor-derived factors with a high prognostic and predictive impact in breast cancer. Thromb Haemost. 2004;91:450-6 pubmed
    ....

Locale

Detail Information

Publications3

  1. request reprint
    Harbeck N, Alt U, Berger U, Kates R, Kruger A, Thomssen C, et al. Long-term follow-up confirms prognostic impact of PAI-1 and cathepsin D and L in primary breast cancer. Int J Biol Markers. 2000;15:79-83 pubmed
    ..001). In conclusion, tumor-associated PAI-1 and cathepsins D and L provide significant, statistically independent prognostic information for DFS and OS in primary breast cancer, even after a median follow-up period of almost 10 years...
  2. request reprint
    Harbeck N, Kates R, Ulm K, Graeff H, Schmitt M. Neural network analysis of follow-up data in primary breast cancer. Int J Biol Markers. 2000;15:116-22 pubmed
    ..Nonetheless, the improvement of risk group discrimination represents an important step toward the use of neural networks for decision support in a clinical framework and in making the most of biological markers...
  3. request reprint
    Harbeck N, Kates R, Gauger K, Willems A, Kiechle M, Magdolen V, et al. Urokinase-type plasminogen activator (uPA) and its inhibitor PAI-I: novel tumor-derived factors with a high prognostic and predictive impact in breast cancer. Thromb Haemost. 2004;91:450-6 pubmed
    ....