Literature DB >> 17504989

Magnetic resonance imaging determination of tumor grade and early response to temozolomide in a genetically engineered mouse model of glioma.

Patrick McConville1, Dolores Hambardzumyan, Jonathan B Moody, Wilbur R Leopold, Alicia R Kreger, Michael J Woolliscroft, Alnawaz Rehemtulla, Brian D Ross, Eric C Holland.   

Abstract

PURPOSE: The median survival for patients diagnosed with glioblastoma multiforme, the most common type of brain tumor, is less than 1 year. Animal glioma models that are more predictive of therapeutic response in human patients than traditional models and that are genetically and histologically accurate are an unmet need. The nestin tv-a (Ntv-a) genetically engineered mouse spontaneously develops glioma when infected with ALV-A expressing platelet-derived growth factor, resulting in autocrine platelet-derived growth factor signaling. EXPERIMENTAL
DESIGN: In the Ntv-a genetically engineered mouse model, T2-weighted and T1-weighted, contrast-enhanced magnetic resonance images were correlated with histology, glioma grade (high or low), and survival. Magnetic resonance imaging (MRI) was therefore used to enroll mice with high-grade gliomas into a second study that tested efficacy of the current standard of care for glioma, temozolomide (100 mg/kg qdx5 i.p., n=13).
RESULTS: The Ntv-a model generated a heterogeneous group of gliomas, some with high-grade growth rate and histologic characteristics and others with characteristics of lower-grade gliomas. We showed that MRI could be used to predict tumor grade and survival. Temozolomide treatment of high-grade tv-a gliomas provided a 14-day growth delay compared with vehicle controls. Diffusion MRI measurement of the apparent diffusion coefficient showed an early decrease in cellularity with temozolomide, similar to that observed in humans.
CONCLUSIONS: The use of MRI in the Ntv-a model allows determination of glioma grade and survival prediction, distribution of mice with specific tumor types into preclinical trials, and efficacy determination both by tumor growth and early apparent diffusion coefficient response.

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Year:  2007        PMID: 17504989     DOI: 10.1158/1078-0432.CCR-06-3058

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  36 in total

1.  Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients.

Authors:  Daniel C Colvin; Mary E Loveless; Mark D Does; Zou Yue; Thomas E Yankeelov; John C Gore
Journal:  Magn Reson Imaging       Date:  2010-12-28       Impact factor: 2.546

Review 2.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

3.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

4.  Tumor location, but not H3.3K27M, significantly influences the blood-brain-barrier permeability in a genetic mouse model of pediatric high-grade glioma.

Authors:  Ergys Subashi; Francisco J Cordero; Kyle G Halvorson; Yi Qi; John C Nouls; Oren J Becher; G Allan Johnson
Journal:  J Neurooncol       Date:  2015-10-28       Impact factor: 4.130

5.  Increased intratumoral infiltration in IDH wild-type lower-grade gliomas observed with diffusion tensor imaging.

Authors:  Eric Aliotta; Prem P Batchala; David Schiff; Beatriz M Lopes; Jason T Druzgal; Sugoto Mukherjee; Sohil H Patel
Journal:  J Neurooncol       Date:  2019-09-17       Impact factor: 4.130

Review 6.  Using neurofibromatosis-1 to better understand and treat pediatric low-grade glioma.

Authors:  David H Gutmann
Journal:  J Child Neurol       Date:  2008-10       Impact factor: 1.987

7.  Efficacy, safety and patterns of response and recurrence in patients with recurrent high-grade gliomas treated with bevacizumab plus irinotecan.

Authors:  R M Zuniga; R Torcuator; R Jain; J Anderson; T Doyle; S Ellika; L Schultz; T Mikkelsen
Journal:  J Neurooncol       Date:  2008-10-25       Impact factor: 4.130

8.  Diffusion imaging for therapy response assessment of brain tumor.

Authors:  Thomas L Chenevert; Brian D Ross
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

9.  CD133, CD15/SSEA-1, CD34 or side populations do not resume tumor-initiating properties of long-term cultured cancer stem cells from human malignant glio-neuronal tumors.

Authors:  Cristina Patru; Luciana Romao; Pascale Varlet; Laure Coulombel; Eric Raponi; Josette Cadusseau; François Renault-Mihara; Cécile Thirant; Nadine Leonard; Alain Berhneim; Maria Mihalescu-Maingot; Jacques Haiech; Ivan Bièche; Vivaldo Moura-Neto; Catherine Daumas-Duport; Marie-Pierre Junier; Hervé Chneiweiss
Journal:  BMC Cancer       Date:  2010-02-24       Impact factor: 4.430

10.  PTEN/PI3K/Akt pathway regulates the side population phenotype and ABCG2 activity in glioma tumor stem-like cells.

Authors:  Anne-Marie Bleau; Dolores Hambardzumyan; Tatsuya Ozawa; Elena I Fomchenko; Jason T Huse; Cameron W Brennan; Eric C Holland
Journal:  Cell Stem Cell       Date:  2009-03-06       Impact factor: 24.633

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