Breast Cancer Research and Treatment

, Volume 124, Issue 2, pp 387–391 | Cite as

Semi-quantitative evaluation of estrogen receptor expression is a strong predictive factor of pathological complete response after anthracycline-based neo-adjuvant chemotherapy in hormonal-sensitive breast cancer

  • Thierry Petit
  • Marc Wilt
  • Michel Velten
  • Jean-François Rodier
  • Jean-Pierre Fricker
  • Patrick Dufour
  • Jean-Pierre Ghnassia
Clinical trial


Absence of hormonal receptors (HR) expression is a predictive factor of high pathologic complete response (pCR) rate after neo-adjuvant chemotherapy. However, HR-positive tumors are less chemosensitive. In the present study, we evaluated the predictive value of estrogen (ER) and progesterone (PgR) semi-quantitative expression in patients with HR-positive tumors treated uniformly with antracycline-based neoadjuvant chemotherapy without hormonal treatment. Value of HR expression as a predictive factor was then evaluated in a multivariate analysis with tumor grade, Ki67 index and HER2 expression. From January 2000 and December 2006, 177 patients with HR-positive breast ductal invasive carcinoma ≥2 cm in its largest diameter were treated with six cycles of an anthracycline-based neo-adjuvant chemotherapy. Tumor grade, ER, PgR, HER2 status and Ki67 index were determined on microbiopsy performed before chemotherapy. A semi-quantitative evaluation of ER and PgR expression by IHC was performed using the Barnes’score. pCR rate was significantly different (P < 0.001) according to the ER expression score. pCR rate was 28% for low score, 9% for medium score and 3% for high score. On the contrary, pCR rate was not significantly different (P = 0.49) according to the PgR expression score. In the multivariate analysis, ER expression score (P = 0.0002) and Ki67 index (P = 0.02) were the only predictive factors of response for HR-positive tumors. pCR after anthracycline-based chemotherapy is significantly correlated with the ER expression score.


Breast cancer Neoadjuvant chemotherapy Estrogen receptor Predictive factors 



We thank Mrs Joy Fest for helping in editing the manuscript.


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Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Thierry Petit
    • 1
  • Marc Wilt
    • 2
  • Michel Velten
    • 3
  • Jean-François Rodier
    • 4
  • Jean-Pierre Fricker
    • 1
  • Patrick Dufour
    • 1
  • Jean-Pierre Ghnassia
    • 2
  1. 1.Medical Oncology DepartmentCLCC Paul StraussStrasbourg CedexFrance
  2. 2.Pathology DepartmentCLCC Paul StraussStrasbourgFrance
  3. 3.Biostatistics DepartmentCLCC Paul StraussStrasbourgFrance
  4. 4.Surgery DepartmentCLCC Paul StraussStrasbourgFrance

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