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Angiotensinogen and HLA class II predict bevacizumab response in recurrent glioblastoma patients

Publikation: Forskning - peer reviewTidsskriftartikel

Dokumenter

Thomas Urup, Signe Regner Michaelsen, Lars Rønn Olsen, Anders Toft, Ib Jarle Christensen, Kirsten Grunnet, Ole Winther, Helle Broholm, Michael Kosteljanetz, Shohreh Issazadeh-Navikas, Hans Skovgaard Poulsen, Ulrik Niels Lassen

Background
Bevacizumab combination therapy is among the most frequently used treatments in recurrent glioblastoma and patients who achieve response to bevacizumab have improved survival as well as quality of life. Accordingly, the aim of this study was to identify predictive biomarkers for bevacizumab response in recurrent glioblastoma patients.

Methods
The study included a total of 82 recurrent glioblastoma patients treated with bevacizumab combination therapy whom were both response and biomarker evaluable. Gene expression of tumor tissue was analyzed by using a customized NanoString platform covering 800 genes. Candidate gene predictors associated with response were analyzed by multivariate logistic and Cox regression analysis.

Results
Two genes were independently associated with response: Low expression of angiotensinogen (2-fold decrease in AGT; OR = 2.44; 95% CI: 1.45–4.17; P = 0.0009) and high expression of a HLA class II gene (2-fold increase in HLA-DQA1; OR = 1.22; 95% CI: 1.01–1.47; P = 0.04). These two genes were included in a model that is able predict response to bevacizumab combination therapy in clinical practice. When stratified for a validated prognostic index, the predictive model for response was significantly associated with improved overall survival.

Conclusion
Two genes (low angiotensinogen and high HLA-class II expression) were predictive for bevacizumab response and were included in a predictive model for response. This model can be used in clinical practice to identify patients who will benefit from bevacizumab combination therapy.
OriginalsprogEngelsk
TidsskriftMolecular Oncology
Vol/bind10
Tidsskriftsnummer8
Sider (fra-til)1160-1168
ISSN1574-7891
DOI
StatusUdgivet - okt. 2016

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