Outcomes and prognostic factors in recurrent glioma patients enrolled onto phase II clinical trials

J Clin Oncol. 1999 Aug;17(8):2572-8. doi: 10.1200/JCO.1999.17.8.2572.

Abstract

Purpose: To determine aggregate outcomes and prognostic covariates in patients with recurrent glioma enrolled onto phase II chemotherapy trials.

Patients and methods: Patients from eight consecutive phase II trials included 225 with recurrent glioblastoma multiforme (GBM) and 150 with recurrent anaplastic astrocytoma (AA). Their median age was 45 years (range, 15 to 82 years) and their median Karnofsky performance score was 80 (range, 60 to 100). Prognostic covariates were analyzed with respect to tumor response, progression-free survival (PFS), and overall survival (OS) by multivariate logistic and Cox proportional hazards regression analyses.

Results: Overall, 34 (9%) had complete or partial response, whereas 80 (21%) were alive and progression-free at 6 months (APF6). The median PFS was 10 weeks and median OS was 30 weeks. Histology was a robust prognostic factor across all outcomes. GBM patients had significantly poorer outcomes than AA patients. The APF6 proportion was 15% for GBM and 31% for AA, whereas the median PFS was 9 weeks for GBM and 13 weeks for AA. Results were also significantly poorer for patients with more than two prior surgeries or chemotherapy regimens.

Conclusion: Histology is a dominant factor in determining outcome in patients with recurrent glioma enrolled onto phase II trials. Future trials should be designed with separate histology strata.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Antineoplastic Combined Chemotherapy Protocols / therapeutic use*
  • Astrocytoma / classification
  • Astrocytoma / drug therapy*
  • Astrocytoma / pathology*
  • Brain Neoplasms / classification
  • Brain Neoplasms / drug therapy*
  • Brain Neoplasms / pathology
  • Glioblastoma / classification
  • Glioblastoma / drug therapy*
  • Glioblastoma / pathology*
  • Humans
  • Karnofsky Performance Status
  • Logistic Models
  • Middle Aged
  • Neoplasm Recurrence, Local
  • Probability
  • Prognosis
  • Proportional Hazards Models
  • Salvage Therapy
  • Treatment Outcome