New prognostic factors and calculators for outcome prediction in patients with recurrent glioblastoma: A pooled analysis of EORTC Brain Tumour Group phase i and II clinical trials

Thierry Gorlia*, Roger Stupp, Alba A. Brandes, Roy R. Rampling, Pierre Fumoleau, Christian Dittrich, Mario M. Campone, Chris C. Twelves, Eric Raymond, Monika E. Hegi, Denis Lacombe, Martin J. Van Den Bent

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

120 Scopus citations

Abstract

Background: Prognostic models have been developed to predict survival of patients with newly diagnosed glioblastoma (GBM). To improve predictions, models should be updated with information at the recurrence. We performed a pooled analysis of European Organization for Research and Treatment of Cancer (EORTC) trials on recurrent glioblastoma to validate existing clinical prognostic factors, identify new markers, and derive new predictions for overall survival (OS) and progression free survival (PFS). Methods: Data from 300 patients with recurrent GBM recruited in eight phase I or II trials conducted by the EORTC Brain Tumour Group were used to evaluate patient's age, sex, World Health Organisation (WHO) performance status (PS), presence of neurological deficits, disease history, use of steroids or anti-epileptics and disease characteristics to predict PFS and OS. Prognostic calculators were developed in patients initially treated by chemoradiation with temozolomide. Results: Poor PS and more than one target lesion had a significant negative prognostic impact for both PFS and OS. Patients with large tumours measured by the maximum diameter of the largest lesion (≥42 mm) and treated with steroids at baseline had shorter OS. Tumours with predominant frontal location had better survival. Age and sex did not show independent prognostic values for PFS or OS. Conclusions: This analysis confirms performance status but not age as a major prognostic factor for PFS and OS in recurrent GBM. Patients with multiple and large lesions have an increased risk of death. With these data prognostic calculators with confidence intervals for both medians and fixed time probabilities of survival were derived.

Original languageEnglish (US)
Pages (from-to)1176-1184
Number of pages9
JournalEuropean Journal of Cancer
Volume48
Issue number8
DOIs
StatePublished - May 1 2012

Keywords

  • Predictive accuracy
  • Prognostic models
  • Recurrent glioblastoma
  • Risk calculators

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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