Literature DB >> 30511933

Nuclear magnetic resonance metabolic fingerprint of bevacizumab in mutant IDH1 glioma cells.

Tanja Mesti1,2, Nadia Bouchemal3, Claire Banissi1, Mohamed N Triba3, Carole Marbeuf-Gueye3, Maja Cemazar4, Laurence Le Moyec5, Antoine F Carpentier1,6, Philippe Savarin4, Janja Ocvirk2.   

Abstract

Background Malignant gliomas are rapidly growing tumours that extensively invade the brain and have bad prognosis. Our study was performed to assess the metabolic effects of bevacizumab on the glioma cells carrying the IDH1 mutation, a mutation, associated with better prognosis and treatment outcome. Bevacizumab is known to inhibit tumour growth by neutralizing the biological activity of vascular endothelial growth factor (VEGF). However, the direct effects of bevacizumab on tumour cells metabolism remain poorly known. Materials and methods The immunoassay and MTT assay were used to assess the concentration of secreted VEGF and cell viability after bevacizumab exposure. Metabolomic studies on cells were performed using high resolution magic angle spinning spectroscopy (HRMAS). Results mIDH1-U87 cells secreted VEGF (13 ng/mL). Regardless, bevacizumab had no cytotoxic effect, even after a 72h exposure and with doses as high as 1 mg/mL. Yet, HRMAS analysis showed a significant effect of bevacizumab (0.1 mg/mL) on the metabolic phenotype of mIDH1-U87 cells with elevation of 2-hydroxyglutarate and changes in glutamine group metabolites (alanine, glutamate, glycine) and lipids (polyunsaturated fatty acids [PUFA], glycerophosphocholine, and phosphocholine). Conclusions In mIDH1-U87 cells, changes in glutamine group metabolites and lipids were identified as metabolic markers of bevacizumab treatment. These data support the possibility of a functional tricarboxylic acid cycle that runs in reductive manner, as a probable mechanism of action of bevacizumab in IDH1 mutated gliomas and propose a new target pathway for effective treatment of malignant gliomas.

Entities:  

Keywords:  bevacizumab; fingerprint; idh1 mutation; malignant glioma; metabolic

Mesh:

Substances:

Year:  2018        PMID: 30511933      PMCID: PMC6287186          DOI: 10.2478/raon-2018-0046

Source DB:  PubMed          Journal:  Radiol Oncol        ISSN: 1318-2099            Impact factor:   2.991


  34 in total

1.  Detection of apoptotic cell death by proton nuclear magnetic resonance spectroscopy.

Authors:  F G Blankenberg; R W Storrs; L Naumovski; T Goralski; D Spielman
Journal:  Blood       Date:  1996-03-01       Impact factor: 22.113

2.  Quantitative analysis of apoptotic cell death using proton nuclear magnetic resonance spectroscopy.

Authors:  F G Blankenberg; P D Katsikis; R W Storrs; C Beaulieu; D Spielman; J Y Chen; L Naumovski; J F Tait
Journal:  Blood       Date:  1997-05-15       Impact factor: 22.113

3.  Nuclear magnetic resonance-visible lipids induced by cationic lipophilic chemotherapeutic agents are accompanied by increased lipid droplet formation and damaged mitochondria.

Authors:  Edward J Delikatny; Wendy A Cooper; Susan Brammah; Nalayini Sathasivam; Darryl C Rideout
Journal:  Cancer Res       Date:  2002-03-01       Impact factor: 12.701

Review 4.  Hypoxia and the hypoxia-inducible-factor pathway in glioma growth and angiogenesis.

Authors:  Balveen Kaur; Fatima W Khwaja; Eric A Severson; Shannon L Matheny; Daniel J Brat; Erwin G Van Meir
Journal:  Neuro Oncol       Date:  2005-04       Impact factor: 12.300

5.  Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Authors:  Christian M Metallo; Jason L Walther; Gregory Stephanopoulos
Journal:  J Biotechnol       Date:  2009-07-19       Impact factor: 3.307

6.  Assignment of 1H nuclear magnetic resonance visible polyunsaturated fatty acids in BT4C gliomas undergoing ganciclovir-thymidine kinase gene therapy-induced programmed cell death.

Authors:  Julian L Griffin; Kimmo K Lehtimäki; Piia K Valonen; Olli H J Gröhn; Mikko I Kettunen; Seppo Ylä-Herttuala; Asla Pitkänen; Jeremy K Nicholson; Risto A Kauppinen
Journal:  Cancer Res       Date:  2003-06-15       Impact factor: 12.701

7.  Analytical approaches toward successful human cell metabolome studies by NMR spectroscopy.

Authors:  Iola F Duarte; Joana Marques; Ana F Ladeirinha; Cláudia Rocha; Inês Lamego; Rita Calheiros; Tânia M Silva; M Paula M Marques; Joana B Melo; Isabel M Carreira; Ana M Gil
Journal:  Anal Chem       Date:  2009-06-15       Impact factor: 6.986

8.  Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation.

Authors:  Maria E Figueroa; Omar Abdel-Wahab; Chao Lu; Patrick S Ward; Jay Patel; Alan Shih; Yushan Li; Neha Bhagwat; Aparna Vasanthakumar; Hugo F Fernandez; Martin S Tallman; Zhuoxin Sun; Kristy Wolniak; Justine K Peeters; Wei Liu; Sung E Choe; Valeria R Fantin; Elisabeth Paietta; Bob Löwenberg; Jonathan D Licht; Lucy A Godley; Ruud Delwel; Peter J M Valk; Craig B Thompson; Ross L Levine; Ari Melnick
Journal:  Cancer Cell       Date:  2010-12-09       Impact factor: 38.585

9.  Apoptosis is associated with triacylglycerol accumulation in Jurkat T-cells.

Authors:  N M S Al-Saffar; J C Titley; D Robertson; P A Clarke; L E Jackson; M O Leach; S M Ronen
Journal:  Br J Cancer       Date:  2002-03-18       Impact factor: 7.640

10.  Metabolic reprogramming in mutant IDH1 glioma cells.

Authors:  Jose L Izquierdo-Garcia; Pavithra Viswanath; Pia Eriksson; Myriam M Chaumeil; Russell O Pieper; Joanna J Phillips; Sabrina M Ronen
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

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  1 in total

1.  Two-Week Aflibercept or Erlotinib Administration Does Not Induce Changes in Intestinal Morphology in Male Sprague-Dawley Rats But Aflibercept Affects Serum and Urine Metabolic Profiles.

Authors:  Richard A Forsgård; Vannina G Marrachelli; Jere Lindén; Rafael Frias; Maria Carmen Collado; Riitta Korpela; Daniel Monleon; Thomas Spillmann; Pia Österlund
Journal:  Transl Oncol       Date:  2019-06-06       Impact factor: 4.243

  1 in total

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