Recursive partitioning analysis of prognostic factors for glioblastoma patients aged 70 years or older.
Fiche publication
Date publication
novembre 2012
Auteurs
Membres identifiés du Cancéropôle Est :
Pr TAILLANDIER Luc
Tous les auteurs :
Scott JG, Bauchet L, Fraum TJ, Nayak L, Cooper AR, Chao ST, Suh JH, Vogelbaum MA, Peereboom DM, Zouaoui S, Mathieu-Daude H, Fabbro-Peray P, Rigau V, Taillandier L, Abrey LE, DeAngelis LM, Shih JH, Iwamoto FM
Lien Pubmed
Résumé
BACKGROUND: The most-used prognostic scheme for malignant gliomas included only patients aged 18 to 70 years. The purpose of this study was to develop a prognostic model for patients >/=70 years of age with newly diagnosed glioblastoma. METHODS: A total of 437 patients >/=70 years of age with newly diagnosed glioblastoma, pooled from 2 tertiary academic institutions, was identified for recursive partitioning analysis (RPA). The resulting prognostic model, based on the final pruned RPA tree, was validated using 265 glioblastoma patients >/=70 years of age from a data set independently compiled by a French consortium. RESULTS: RPA produced 9 terminal nodes, which were pruned to 4 prognostic subgroups with markedly different median survivals: subgroup I = patients /=75.5 years of age who underwent surgical resection (6.4 months); subgroup III = patients with Karnofsky performance status of 70 to 100 who underwent biopsy only (4.6 months); and subgroup IV = patients with Karnofsky performance status
Référence
Cancer. 2012 Nov 15;118(22):5595-600