| Literature DB >> 29393706 |
Anders Toft1, Thomas Urup1,2, Ib Jarle Christensen3, Signe Regner Michaelsen1, Babloo Lukram4, Kirsten Grunnet1,2, Michael Kosteljanetz5, Vibeke Andrée Larsen6, Ulrik Lassen1,2,7, Helle Broholm4, Hans Skovgaard Poulsen1,2.
Abstract
Predictive biomarkers and prognostic models are required to identify recurrent grade III glioma patients who benefit from existing treatment. In this study of 62 recurrent grade III glioma patients, a range of clinical and paraclinical factors are tested for association with progression-free survival, overall survival, and response to bevacizumab and irinotecan therapy. Significant factors from univariate screening are included in multivariate analysis. Biomarkers previously advanced as predictive or prognostic in the first-line setting did not affect outcome in this patient cohort. Based on the optimized model for overall survival, comprising performance status and p53 expression, a prognostic index is established.Entities:
Keywords: Bevacizumab; Cancer biomarkers; Glioma; Prognosis and response predictions; Recurrent
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Year: 2018 PMID: 29393706 DOI: 10.1080/07357907.2018.1430818
Source DB: PubMed Journal: Cancer Invest ISSN: 0735-7907 Impact factor: 2.176