Literature DB >> 26762204

Identification of Patients with Recurrent Glioblastoma Who May Benefit from Combined Bevacizumab and CCNU Therapy: A Report from the BELOB Trial.

Lale Erdem-Eraslan1, Martin J van den Bent1, Youri Hoogstrate2, Hina Naz-Khan3, Andrew Stubbs3, Peter van der Spek3, René Böttcher4, Ya Gao1, Maurice de Wit1, Walter Taal1, Hendrika M Oosterkamp5, Annemiek Walenkamp6, Laurens V Beerepoot7, Monique C J Hanse8, Jan Buter9, Aafke H Honkoop10, Bronno van der Holt11, René M Vernhout11, Peter A E Sillevis Smitt1, Johan M Kros12, Pim J French13.   

Abstract

The results from the randomized phase II BELOB trial provided evidence for a potential benefit of bevacizumab (beva), a humanized monoclonal antibody against circulating VEGF-A, when added to CCNU chemotherapy in patients with recurrent glioblastoma (GBM). In this study, we performed gene expression profiling (DASL and RNA-seq) of formalin-fixed, paraffin-embedded tumor material from participants of the BELOB trial to identify patients with recurrent GBM who benefitted most from beva+CCNU treatment. We demonstrate that tumors assigned to the IGS-18 or "classical" subtype and treated with beva+CCNU showed a significant benefit in progression-free survival and a trend toward benefit in overall survival, whereas other subtypes did not exhibit such benefit. In particular, expression of FMO4 and OSBPL3 was associated with treatment response. Importantly, the improved outcome in the beva+CCNU treatment arm was not explained by an uneven distribution of prognostically favorable subtypes as all molecular glioma subtypes were evenly distributed along the different study arms. The RNA-seq analysis also highlighted genetic alterations, including mutations, gene fusions, and copy number changes, within this well-defined cohort of tumors that may serve as useful predictive or prognostic biomarkers of patient outcome. Further validation of the identified molecular markers may enable the future stratification of recurrent GBM patients into appropriate treatment regimens. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26762204     DOI: 10.1158/0008-5472.CAN-15-0776

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  34 in total

1.  A validated microRNA profile with predictive potential in glioblastoma patients treated with bevacizumab.

Authors:  Josie Hayes; Helene Thygesen; Walter Gregory; David R Westhead; Pim J French; Martin J Van Den Bent; Sean E Lawler; Susan C Short
Journal:  Mol Oncol       Date:  2016-07-01       Impact factor: 6.603

Review 2.  The siren song of bevacizumab: swan song or clarion call?

Authors:  David Schiff; Patrick Y Wen
Journal:  Neuro Oncol       Date:  2018-01-22       Impact factor: 12.300

Review 3.  Bridging the molecular and biological functions of the oxysterol-binding protein family.

Authors:  Antonietta Pietrangelo; Neale D Ridgway
Journal:  Cell Mol Life Sci       Date:  2018-03-13       Impact factor: 9.261

Review 4.  Molecular biomarker-guided anti-angiogenic targeted therapy for malignant glioma.

Authors:  Chengrui Yan; Jiaru Wang; Yuyan Yang; Wenbin Ma; Xiaolin Chen
Journal:  J Cell Mol Med       Date:  2019-06-18       Impact factor: 5.310

Review 5.  Relapsed Glioblastoma: Treatment Strategies for Initial and Subsequent Recurrences.

Authors:  Alicia Tosoni; Enrico Franceschi; Rosalba Poggi; Alba A Brandes
Journal:  Curr Treat Options Oncol       Date:  2016-09

6.  Rechallenge with bevacizumab in patients with glioblastoma progressing off therapy.

Authors:  Charlotte Bronnimann; Cristina Izquierdo; Stéphanie Cartalat; Laure Thomas; Bastien Joubert; Laura Delpech; Marc Barritault; David Meyronet; Jérôme Honnorat; François Ducray
Journal:  J Neurooncol       Date:  2018-01-31       Impact factor: 4.130

7.  A Glial Signature and Wnt7 Signaling Regulate Glioma-Vascular Interactions and Tumor Microenvironment.

Authors:  Amelie Griveau; Giorgio Seano; Samuel J Shelton; Robert Kupp; Arman Jahangiri; Kirsten Obernier; Shanmugarajan Krishnan; Olle R Lindberg; Tracy J Yuen; An-Chi Tien; Jennifer K Sabo; Nancy Wang; Ivy Chen; Jonas Kloepper; Louis Larrouquere; Mitrajit Ghosh; Itay Tirosh; Emmanuelle Huillard; Arturo Alvarez-Buylla; Michael C Oldham; Anders I Persson; William A Weiss; Tracy T Batchelor; Anat Stemmer-Rachamimov; Mario L Suvà; Joanna J Phillips; Manish K Aghi; Shwetal Mehta; Rakesh K Jain; David H Rowitch
Journal:  Cancer Cell       Date:  2018-04-19       Impact factor: 31.743

8.  A comprehensive analysis of factors related to carmustine/bevacizumab response in recurrent glioblastoma.

Authors:  A F Cardona; L Rojas; B Wills; A Ruiz-Patiño; L Abril; F Hakim; E Jiménez; N Useche; S Bermúdez; J A Mejía; J F Ramón; H Carranza; C Vargas; J Otero; P Archila; J Rodríguez; J Rodríguez; J Behaine; D González; J Jacobo; H Cifuentes; O Feo; P Penagos; D Pineda; L Ricaurte; L E Pino; C Vargas; J C Marquez; M I Mantilla; L D Ortiz; C Balaña; R Rosell; Z L Zatarain-Barrón; O Arrieta
Journal:  Clin Transl Oncol       Date:  2019-02-23       Impact factor: 3.340

9.  Geometrical Measures Obtained from Pretreatment Postcontrast T1 Weighted MRIs Predict Survival Benefits from Bevacizumab in Glioblastoma Patients.

Authors:  David Molina; Julián Pérez-Beteta; Alicia Martínez-González; Juan M Sepúlveda; Sergi Peralta; Miguel J Gil-Gil; Gaspar Reynes; Ana Herrero; Ramón De Las Peñas; Raquel Luque; Jaume Capellades; Carmen Balaña; Víctor M Pérez-García
Journal:  PLoS One       Date:  2016-08-24       Impact factor: 3.240

10.  Survival in elderly glioblastoma patients treated with bevacizumab-based regimens in the United States.

Authors:  Jessica Davies; Irmarie Reyes-Rivera; Thirupathi Pattipaka; Stephen Skirboll; Beatrice Ugiliweneza; Shiao Woo; Maxwell Boakye; Lauren Abrey; Josep Garcia; Eric Burton
Journal:  Neurooncol Pract       Date:  2018-02-06
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