Literature DB >> 28265824

Relationship between magnetic resonance imaging characteristics and plasmatic levels of MMP2 and MMP9 in patients with recurrent high-grade gliomas treated by Bevacizumab and Irinotecan.

Patrizia Farina1, Emeline Tabouret1,2, Pierre Lehmann3, Maryline Barrie1, Gregorio Petrirena1, Chantal Campello1, Celine Boucard1, Thomas Graillon4, Nadine Girard3, Olivier Chinot5,6.   

Abstract

Matrix metalloproteases MMP2 and MMP9 are involved in cancer angiogenesis and invasion. We recently demonstrated that plasma MMP2 and MMP9 levels could both predict response to bevacizumab in patients with recurrent high-grade glioma (HGG). We examined the potential relationship between MMP2/MMP9 plasma levels and glioma imaging characteristics. In this retrospective, monocentric study, MRI before bevacizumab administration for HGG patients was independently analyzed for contrast enhancement (CE) and FLAIR sequences. Contemporary MMP2 and MMP9 plasma levels were assessed using ELISA kits. We analyzed 28 patients with a median Karnofsky Performance Status of 70 (range 50-80). A diffuse pattern was observed in 14 patients (50%). We did not observe any correlation between baseline imaging features and plasma levels of MMP2 or MMP9. We found no association between baseline MMP levels and diffuse MRI patterns. In univariate analyses, diffuse pattern, multi-focal disease, tumor diameter, surface area, and volume had no impact on outcome, while the number of lobes involved in CE and crossing of the midline by CE were associated with a worse progression-free survival (p = 0.072 and p = 0.012, respectively) and overall survival (p = 0.012 and p < 0.001, respectively). In patients with recurrent high-grade glioma treated with a bevacizumab-based regimen, our exploratory analysis of multiple MRI tumor characteristics at baseline failed to detect a relationship between imaging feature and plasma levels of MMP2 and MMP9. Our results suggests that number of lobes involved in CE and crossing of the midline by CE are associated with outcome although the potential prognostic versus predictive role of these markers warrant further investigation.

Entities:  

Keywords:  Bevacizumab; Glioma; Imaging; Matrix metalloproteases

Mesh:

Substances:

Year:  2017        PMID: 28265824     DOI: 10.1007/s11060-017-2385-0

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  18 in total

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Authors:  Melanie Kappadakunnel; Ascia Eskin; Jun Dong; Stanley F Nelson; Paul S Mischel; Linda M Liau; Phioanh Ngheimphu; Albert Lai; Timothy F Cloughesy; Jonathan Goldin; Whitney B Pope
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