title: P53 determination alongside classical prognostic factors in node-negative breast cancer: an evaluation at more than 10-year follow-up.
abstract: BACKGROUND
  There is heterogeneity of methods and conflicting results concerning the prognostic value of p53 in node-negative breast cancer. The clinical value of a quantitative method for measuring tumoralp53 content still needs to be evaluated.
  
  
  METHODS
  A long-term retrospective study was conducted on 297 node-negative patients with a median follow-up greater than 10 years (11 years, 101-172 months). Classic prognostic factors were considered including age, tumor size, histoprognostic grade and estradiol (ER) and progesterone receptors (PR). In addition, the value of p53 determination (immunoluminometric assay in tumor cytosol) was assessed for this long follow-up period.
  
  
  RESULTS
  p53 concentrations were significantly linked to the histological grade (P = 0.001), to tumor size (P = 0.02) and ER status (P = 0.01). Higher p53 tumoral concentrations were found in tumors with large size, pejorative histological grade and negative ER status. In contrast, p53 tumoral concentrations were not influenced by menopausal or PR status. Multivariate Cox analysis demonstrates that tumor size was the only significant predictor of disease-free survival (P = 0.049) with a risk factor at 1.38. As regards specific survival, univariate Cox analysis indicates that p53 taken as a continuous variable is a significant predictor (P = 0.024) together with histological grade, tumor size and ER status. In a multivariate Cox analysis there were two significant and independent variables for predicting overall survival: tumor size (P = 0.031) and, ER status (P = 0.015) with the highest risk factor (RR = 2.14).
  
  
  CONCLUSIONS
  The present investigation points out that the prognostic power of p53 tumor determination evaluated at more than 10 years median survival is not higher than the well-recognized classic prognostic factors in node-negative breast cancer. The present data highlight the need to assess the prognostic value of potentially new biological factors in node-negative breast cancer on cohorts of patients followed over periods in excess of 10 years.
authors.affiliation: The Centre Antoine Lacassagne, Nice, France.
authors.forename: J M
authors.initials: JM
authors.lastname: Ferrero
authors.forename: A
authors.initials: A
authors.lastname: Ramaioli
authors.forename: J L
authors.initials: JL
authors.lastname: Formento
authors.forename: M
authors.initials: M
authors.lastname: Francoual
authors.forename: M C
authors.initials: MC
authors.lastname: Etienne
authors.forename: I
authors.initials: I
authors.lastname: Peyrottes
authors.forename: F
authors.initials: F
authors.lastname: Ettore
authors.forename: P
authors.initials: P
authors.lastname: Leblanc-Talent
authors.forename: M
authors.initials: M
authors.lastname: Namer
authors.forename: G
authors.initials: G
authors.lastname: Milano
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000235:genetics* / Q000473:pathology; D018572:Disease-Free Survival; D005260:Female; D005500:Follow-Up Studies; D016158:Genes, p53 / Q000235:genetics*; D006801:Humans; D008207:Lymphatic Metastasis; D008875:Middle Aged; D009367:Neoplasm Staging; D017698:Postmenopause; D011237:Predictive Value of Tests; D011379:Prognosis; D012044:Regression Analysis; D012189:Retrospective Studies