Breast Cancer Research and Treatment

, Volume 36, Issue 1, pp 71–81 | Cite as

Prognostic value of p53 in breast invasive ductal carcinoma: an immunohistochemical study on 942 cases

  • Gaëtan MacGrogan
  • Françoise Bonichon
  • Isabelle de Mascarel
  • Monique Trojani
  • Michel Durand
  • Antoine Avril
  • Jean-Michel Coindre


P53 immunohistochemical detection using DO7 antibody on 942 cases of previously untreated breast invasive ductal carcinoma (IDC) with a median follow up of 117.9 months (89 to 160) was performed.

Three hundred and three (32%) tumors were positive. All positive tumors were taken into account, positivity ranging from 1 to 100% of tumoral cells. The Chi square test showed significant negative correlation between p53 positivity and age (p = 0.01), estrogen receptor status (p < 0.0001), and progesterone receptor status (p = 0.0005), and significant positive correlation with tumor grade according to the Scarff, Bloom and Richardson system (SBR Grade) (p < 0.0001). There was no significant association with tumor size or nodal status.

Concerning the univariate analysis, in the whole group and node-positive group (n = 544) p53 positivity was highly significant for overall survival (OS) (p < 0.0001 and p = 0.0003), disease-free interval (DFI) (p = 0.0001 and p = 0.0005), and metastasis-free interval (MFI) (p < 0.0001 and p = 0.0003). In the node-negative group (n = 398), p53 was significant with respect to OS (p = 0.01) and DFI (p = 0.04). P53 positivity came out as an independent prognostic parameter in the multivariate analysis in the whole group and the node-positive group, though of minor significance compared to axillary lymph node status, SBR grade, progesterone receptor status, and tumor size.

Key words

P53 invasive ductal carcinoma immunohistochemistry prognosis tumor suppressor genes 


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Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • Gaëtan MacGrogan
    • 1
  • Françoise Bonichon
    • 1
  • Isabelle de Mascarel
    • 1
  • Monique Trojani
    • 1
  • Michel Durand
    • 1
  • Antoine Avril
    • 1
  • Jean-Michel Coindre
    • 1
    • 2
  1. 1.Institut BergoniéBordeauxFrance
  2. 2.Université de Bordeaux IIBordeauxFrance

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