Literature DB >> 30877636

Correlation of radiological and immunochemical parameters with clinical outcome in patients with recurrent glioblastoma treated with Bevacizumab.

R A Manneh Kopp1, J M Sepúlveda-Sánchez1,2, Y Ruano3, O Toldos3, A Pérez Núñez4, D Cantero3, A Hilario5, A Ramos5, G de Velasco1, P Sánchez-Gómez6, A Hernández-Laín7,8.   

Abstract

BACKGROUND: Some phase 2 trials had reported encouraging progression-free survival with Bevacizumab in monotherapy or combined with chemotherapy in glioblastoma. However, phase 3 trials showed a significant improvement in progression free survival without a benefit in overall survival. To date, there are no predictive biomarker of response for Bevacizumab in glioblastoma.
METHODS: We used Immunochemical analysis on tumor samples and pretreatment and post-treatment perfusion-MRI to try to identify possible predictive angiogenesis-related biomarkers of response and survival in patients with glioblastoma treated with bevacizumab in the first recurrence. We analyzed histological parameters: vascular proliferation, mitotic number and Ki-67 index; molecular factors: MGMT promoter methylation, EGFR amplification and EGFR variant III; immunohistochemical: MET, Midkine, HIF1, VEGFA, VEGF-R2, CD44, Olig2, microvascular area and microvascular density; and radiological: rCBV.
RESULTS: In the statistical analysis, no significant correlation of any histological, molecular, microvascular or radiological parameters could be demonstrated with the response rate, PFS or OS with bevacizumab treatment.
CONCLUSION: Unfortunately, in this histopathological, molecular, immunohistochemical and neuroradiological study we did not find any predictive biomarker of response or survival benefit for Bevacizumab in glioblastoma.

Entities:  

Keywords:  Bevacizumab; Biomarkers; Glioblastoma; Microvacular density; Microvascular area

Mesh:

Substances:

Year:  2019        PMID: 30877636     DOI: 10.1007/s12094-019-02070-6

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  32 in total

1.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

2.  The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas.

Authors:  A Hilario; A Ramos; A Perez-Nuñez; E Salvador; J M Millan; A Lagares; J M Sepulveda; P Gonzalez-Leon; A Hernandez-Lain; J R Ricoy
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-29       Impact factor: 3.825

3.  Predicting lung cancer by detecting aberrant promoter methylation in sputum.

Authors:  W A Palmisano; K K Divine; G Saccomanno; F D Gilliland; S B Baylin; J G Herman; S A Belinsky
Journal:  Cancer Res       Date:  2000-11-01       Impact factor: 12.701

4.  Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma.

Authors:  Kathleen M Schmainda; Melissa Prah; Jennifer Connelly; Scott D Rand; Raymond G Hoffman; Wade Mueller; Mark G Malkin
Journal:  Neuro Oncol       Date:  2014-01-15       Impact factor: 12.300

5.  A randomized trial of bevacizumab for newly diagnosed glioblastoma.

Authors:  Mark R Gilbert; James J Dignam; Terri S Armstrong; Jeffrey S Wefel; Deborah T Blumenthal; Michael A Vogelbaum; Howard Colman; Arnab Chakravarti; Stephanie Pugh; Minhee Won; Robert Jeraj; Paul D Brown; Kurt A Jaeckle; David Schiff; Volker W Stieber; David G Brachman; Maria Werner-Wasik; Ivo W Tremont-Lukats; Erik P Sulman; Kenneth D Aldape; Walter J Curran; Minesh P Mehta
Journal:  N Engl J Med       Date:  2014-02-20       Impact factor: 91.245

6.  Relative cerebral blood volume is a potential predictive imaging biomarker of bevacizumab efficacy in recurrent glioblastoma.

Authors:  Philipp Kickingereder; Benedikt Wiestler; Sina Burth; Antje Wick; Martha Nowosielski; Sabine Heiland; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Neuro Oncol       Date:  2015-03-09       Impact factor: 12.300

Review 7.  Angiogenesis in brain tumours.

Authors:  Rakesh K Jain; Emmanuelle di Tomaso; Dan G Duda; Jay S Loeffler; A Gregory Sorensen; Tracy T Batchelor
Journal:  Nat Rev Neurosci       Date:  2007-08       Impact factor: 34.870

8.  Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab.

Authors:  Ken Chang; Biqi Zhang; Xiaotao Guo; Min Zong; Rifaquat Rahman; David Sanchez; Nicolette Winder; David A Reardon; Binsheng Zhao; Patrick Y Wen; Raymond Y Huang
Journal:  Neuro Oncol       Date:  2016-05-04       Impact factor: 12.300

9.  Metronomic chemotherapy with daily, oral etoposide plus bevacizumab for recurrent malignant glioma: a phase II study.

Authors:  D A Reardon; A Desjardins; J J Vredenburgh; S Gururangan; J H Sampson; S Sathornsumetee; R E McLendon; J E Herndon; J E Marcello; J Norfleet; A H Friedman; D D Bigner; H S Friedman
Journal:  Br J Cancer       Date:  2009-11-17       Impact factor: 7.640

10.  VEGF-121 plasma level as biomarker for response to anti-angiogenetic therapy in recurrent glioblastoma.

Authors:  Maurizio Martini; Ivana de Pascalis; Quintino Giorgio D'Alessandris; Vincenzo Fiorentino; Francesco Pierconti; Hany El-Sayed Marei; Lucia Ricci-Vitiani; Roberto Pallini; Luigi Maria Larocca
Journal:  BMC Cancer       Date:  2018-05-10       Impact factor: 4.430

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  4 in total

1.  CD44 expression in the tumor periphery predicts the responsiveness to bevacizumab in the treatment of recurrent glioblastoma.

Authors:  Masahiro Nishikawa; Akihiro Inoue; Takanori Ohnishi; Hajime Yano; Yonehiro Kanemura; Shohei Kohno; Shiro Ohue; Saya Ozaki; Shirabe Matsumoto; Satoshi Suehiro; Yawara Nakamura; Seiji Shigekawa; Hideaki Watanabe; Riko Kitazawa; Junya Tanaka; Takeharu Kunieda
Journal:  Cancer Med       Date:  2021-02-05       Impact factor: 4.452

2.  The role of c-Met and VEGFR2 in glioblastoma resistance to bevacizumab.

Authors:  Bruno Carvalho; José Manuel Lopes; Roberto Silva; Joana Peixoto; Dina Leitão; Paula Soares; Ana Catarina Fernandes; Paulo Linhares; Rui Vaz; Jorge Lima
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

3.  Pretreatment inflammatory indices predict Bevacizumab response in recurrent Glioma.

Authors:  Alicia Martínez-González; Raquel Cabrera; Marta Lloret; Pedro C Lara
Journal:  Cancer Drug Resist       Date:  2020-08-07

Review 4.  Signaling pathways and therapeutic approaches in glioblastoma multiforme (Review).

Authors:  Marsel Khabibov; Airat Garifullin; Yanis Boumber; Karam Khaddour; Firat Khamitov; Manuel Fernandez; Larisa Khalikova; Natalia Kuznetsova; Oleg Kit; Leonid Kharin
Journal:  Int J Oncol       Date:  2022-04-21       Impact factor: 5.884

  4 in total

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