title: Differences in prognostic molecular markers between women over and under 45 years of age with advanced ovarian cancer.
abstract: OBJECTIVE
  The purpose of this study was to determine whether differences in molecular markers might explain the better prognosis of women < or =45 years of age versus women >45 years of age diagnosed with ovarian cancers.
  
  
  METHODS
  Tissue sections from women with stage III-IV ovarian cancers were examined for expression of CD34, p53, and HER2. The Kaplan-Meier method and Cox Proportional Hazard analyses were used to identify predictors for outcome.
  
  
  RESULTS
  Fifty-two women < or =45 years of age were matched with 52 women who were >45 years old. Of the 46 available tissue sections, 24 were from the younger age group (mean age, 41 years), and 22 were from the older age group (mean age, 61 years). Based on CD34 expression, tumors from women >45 years of age had lower microvessel density (MVD) compared with tumors of younger women (10.3 versus 16.1 microvessels per x400 field; P = 0.03). Lower MVD (< or =11 microvessels per x400 field) predicted for a worse prognosis than higher MVD (>11 microvessels per x400 field) in the overall study group (P = 0.001) and within the older subgroup (P = 0.03). The expressions of p53 (P = 0.13) and HER2 (P = 0.49) did not vary between the two age groups. The median survivals of those with tumors that overexpressed p53 and HER2 were 28.6 and 23.9 months compared with 51.7 and 38.6 months in those with cancers that underexpressed these markers, respectively (P = 0.09 for p53, P = 0.15 for HER2).
  
  
  CONCLUSIONS
  Ovarian cancers in women >45 years of age had lower MVD compared with those in women < or =45 years of age. Lower MVD was an independent prognostic factor for decreased survival. Lower frequency of neovascularization in these cancers may contribute to the decreased survival observed in women >45 years of age.
authors.affiliation: Division of Obstetrics and Gynecology, Stanford University School of Medicine, California, USA.
authors.forename: John K
authors.initials: JK
authors.lastname: Chan
authors.forename: Vera
authors.initials: V
authors.lastname: Loizzi
authors.forename: Alessandra
authors.initials: A
authors.lastname: Magistris
authors.forename: Fritz
authors.initials: F
authors.lastname: Lin
authors.forename: Joanne
authors.initials: J
authors.lastname: Rutgers
authors.forename: Kathryn
authors.initials: K
authors.lastname: Osann
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Disaia
authors.forename: Michael L
authors.initials: ML
authors.lastname: Berman
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D018952:Antigens, CD34 / Q000378:metabolism*; D014408:Biomarkers, Tumor / Q000378:metabolism*; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D008833:Microcirculation; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000378:metabolism / Q000473:pathology; D010051:Ovarian Neoplasms / Q000098:blood supply / Q000175:diagnosis / Q000378:metabolism*; D011379:Prognosis; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism*; D015996:Survival Rate; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism*
chemical_list: D018952:Antigens, CD34; D014408:Biomarkers, Tumor; D018719:Erb-b2 Receptor Tyrosine Kinases; D016159:Tumor Suppressor Protein p53