14-3-3ζ positive expression is associated with a poor prognosis in patients with glioblastoma

Neurosurgery. 2011 Apr;68(4):932-8; discussion 938. doi: 10.1227/NEU.0b013e3182098c30.

Abstract

Background: When identifying clinical markers predicting clinical outcome, disease recurrence and resistance to therapies often determine the diagnosis and therapy of some cancer types.

Objective: To investigate whether 14-3-3zeta positive expression is an indicator of prognosis in patients with glioblastoma.

Methods: Forty-seven patients treated with surgery, radiotherapy, and adjuvant chemotherapy between 2005 and 2007 were divided into 2 groups according to 14-3-3zeta expression in an immunohistochemical study: the 14-3-3zeta negative group (n = 12 patients) and the 14-3-3zeta positive group (n = 35 patients). The clinicopathologic features and survival data for patients in the 14-3-3zeta positive group were compared with data from the patients in the 14-3-3zeta negative group. Kaplan-Meier survival analysis and univariate and multivariate analyses were performed to determine the prognostic factors that influenced patient survival.

Results: 14-3-3zeta positive expression was observed in approximately 74.5% of patients with glioblastoma. Patients in the 14-3-3zeta positive group had lower overall survival rates and median survival time than those in the 14-3-3zeta negative group (overall 2-year actuarial survival rates, 8.6% for the 14-3-3zeta positive group vs 16.7% for the 14-3-3zeta negative group; overall 2-year median survival time, 12.9 months for the 14-3-3zeta positive group vs 17.9 months for the 14-3-3zeta negative group, P = .019). 14-3-3zeta positive expression in tumor cells also was correlated with a shorter interval to tumor recurrence (median interval to recurrence, 5.9 months in the 14-3-3zeta positive group vs 8.3 months in the 14-3-3zeta negative group, P = .002). Univariate and multivariate analyses showed that 14-3-3zeta positive expression was an independent prognostic factor.

Conclusion: 14-3-3zeta positive expression can be used as a potential molecular risk factor in patients with glioblastoma.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • 14-3-3 Proteins / biosynthesis*
  • Adult
  • Aged
  • Biomarkers, Tumor / biosynthesis*
  • Brain / metabolism
  • Brain / pathology
  • Female
  • Gene Expression Regulation, Neoplastic*
  • Glioblastoma / diagnosis*
  • Glioblastoma / metabolism*
  • Glioblastoma / mortality
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Survival Rate / trends
  • Young Adult

Substances

  • 14-3-3 Proteins
  • Biomarkers, Tumor