Prognostic value of health-related quality of life for death risk stratification in patients with unresectable glioblastoma.

Fiche publication

Date publication

août 2016

Journal

Cancer medicine

Auteurs

Membres identifiés du Cancéropôle Est :
Dr DABAKUYO-YONLI Sandrine , Pr GHIRINGHELLI François , Dr SCHOTT Roland , Pr TAILLANDIER Luc , Dr VERNEREY Dewi , Dr PAQUETTE Brice

Tous les auteurs :
Paquette B, Vernerey D, Chauffert B, Dabakuyo S, Feuvret L, Taillandier L, Frappaz D, Taillia H, Schott R, Ducray F, Fabbro M, Tennevet I, Ghiringhelli F, Guillamo JS, Durando X, Castera D, Frenay M, Campello C, Dalban C, Skrzypski J, Chinot O, Anota A, Bonnetain F

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/27252150

Résumé

Glioblastoma is the most common malignant brain tumor in adults. Baseline health-related quality of life (HRQoL) is a major subject of concern for these patients. We aimed to assess the independent prognostic value of HRQoL in unresectable glioblastoma (UGB) patients for death risk stratification. One hundred and thirty-four patients with UGB were enrolled from the TEMAVIR trial. HRQoL was evaluated at baseline using the EORTC QLQ-C30 and BN20 brain cancer module. Clinical and HRQoL parameters were evaluated in univariable and multivariable Cox analysis as prognostic factors for overall survival (OS). Performance assessment and internal validation of the final model were evaluated with Harrel's C-index, calibration plot, and bootstrap sample procedure. Two OS independent predictors were identified: future uncertainty and sensitivity deficit. The final model exhibited good calibration and acceptable discrimination (C statistic = 0.63). The internal validity of the model was verified with robust uncertainties around the hazard ratio. The prognostic score identified three groups of patients with distinctly different risk profiles with median OS estimated at 16.2, 9.2, and 4.5 months. We demonstrated the additional prognostic value of HRQoL in UGB for death risk stratification and provided a score that may help to guide clinical management and stratification in future clinical trials.