New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers” Thesis

short description

  • Doctoral Thesis

Thesis author

  • Rangel Jiménez, Nelson Enrique

external tutor

  • Sapino, Anna

abstract

  • Here, we studied new prognostic and predictive easy access strategies in breast cancer (molecular markers), for better classify ER+ breast cancer disease, which might provide additional information and be complementary to the clasical clinical-pathological prediction models.
  • Here, we studied new prognostic and predictive easy access strategies in breast cancer (molecular markers), for better classify ER+ breast cancer disease, which might provide additional information and be complementary to the clasical clinical-pathological prediction models.

keywords

  • Androgen Receptor
  • Breast cancer
  • Estrogen Receptor
  • Molecular medicine
  • Prognosis

Document Id

  • 1b09b202-7dc1-4a97-b785-ee7d5b1addf2