Literature DB >> 31134296

MR imaging phenotype correlates with extent of genome-wide copy number abundance in IDH mutant gliomas.

Chih-Chun Wu1,2, Rajan Jain3,4, Lucidio Neto5, Seema Patel6, Laila M Poisson7, Jonathan Serrano6, Victor Ng5, Sohil H Patel8, Dimitris G Placantonakis9, David Zagzag6, John Golfinos9, Andrew S Chi10, Matija Snuderl6.   

Abstract

PURPOSE: There is variability in survival within IDH mutant gliomas determined by chromosomal events. Copy number variation (CNV) abundance associated with survival in low-grade and IDH mutant astrocytoma has been reported. Our purpose was to correlate the extent of genome-wide CNV abundance in IDH mutant astrocytomas with MRI features.
METHODS: Presurgical MRI and CNV plots derived from Illumina 850k EPIC DNA methylation arrays of 18 cases of WHO grade II-IV IDH mutant astrocytomas were reviewed. IDH mutant astrocytomas were divided into CNV stable group (CNV-S) with ≤ 3 chromosomal gains or losses and lack of focal gene amplifications and CNV unstable group (CNV-U) with > 3 large chromosomal gains/losses and/or focal amplifications. The associations between MR features, relative cerebral blood volume (rCBV), CNV abundance, and time to progression were assessed. Tumor rCBV estimates were obtained using DSC T2* perfusion analysis.
RESULTS: There were nine (50%) CNV-S and nine (50%) CNV-U IDH mutant astrocytomas. CNV-U tumors showed larger mean tumor size (P = 0.004) and maximum diameter on FLAIR (P = 0.004) and also demonstrated significantly higher median rCBV than CNV-S tumors (2.62 vs 0.78, P = 0.019). CNV-U tumors tended to have shorter time to progression although without statistical significance (P = 0.393).
CONCLUSIONS: Larger size/diameter and higher rCBVs were seen associated CNV-U astrocytomas, suggesting a correlation of aggressive imaging phenotype with unstable and aggressive genotype in IDH mutant astrocytomas.

Entities:  

Keywords:  Genomics; Glioma; Imaging; Radiogenomics

Mesh:

Substances:

Year:  2019        PMID: 31134296     DOI: 10.1007/s00234-019-02219-8

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  48 in total

Review 1.  Dynamic susceptibility contrast MRI of gliomas.

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Journal:  Neuroimaging Clin N Am       Date:  2002-11       Impact factor: 2.264

2.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

3.  Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma.

Authors:  R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger
Journal:  J Neurooncol       Date:  2000-12       Impact factor: 4.130

4.  Microarray analysis of MRI-defined tissue samples in glioblastoma reveals differences in regional expression of therapeutic targets.

Authors:  Timothy Van Meter; Catherine Dumur; Naiel Hafez; Carleton Garrett; Helen Fillmore; William C Broaddus
Journal:  Diagn Mol Pathol       Date:  2006-12

5.  Inverse correlation between choline magnetic resonance spectroscopy signal intensity and the apparent diffusion coefficient in human glioma.

Authors:  R K Gupta; U Sinha; T F Cloughesy; J R Alger
Journal:  Magn Reson Med       Date:  1999-01       Impact factor: 4.668

6.  Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.

Authors:  R Jain; S K Ellika; L Scarpace; L R Schultz; J P Rock; J Gutierrez; S C Patel; J Ewing; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

7.  Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Authors:  Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004-05       Impact factor: 3.825

8.  Identification of noninvasive imaging surrogates for brain tumor gene-expression modules.

Authors:  Maximilian Diehn; Christine Nardini; David S Wang; Susan McGovern; Mahesh Jayaraman; Yu Liang; Kenneth Aldape; Soonmee Cha; Michael D Kuo
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-24       Impact factor: 11.205

9.  Magnetic resonance imaging of pilocytic astrocytomas: usefulness of the minimum apparent diffusion coefficient (ADC) value for differentiation from high-grade gliomas.

Authors:  R Murakami; T Hirai; M Kitajima; H Fukuoka; R Toya; H Nakamura; J Kuratsu; Y Yamashita
Journal:  Acta Radiol       Date:  2008-05       Impact factor: 1.990

10.  Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.

Authors:  E J Lee; S K Lee; R Agid; J M Bae; A Keller; K Terbrugge
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

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Authors:  P Darvishi; P P Batchala; J T Patrie; L M Poisson; M-B Lopes; R Jain; C E Fadul; D Schiff; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

2.  MRI features predict tumor grade in isocitrate dehydrogenase (IDH)-mutant astrocytoma and oligodendroglioma.

Authors:  David A Joyner; John Garrett; Prem P Batchala; Bharath Rama; Joshua R Ravicz; James T Patrie; Maria-B Lopes; Camilo E Fadul; David Schiff; Rajan Jain; Sohil H Patel
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3.  A pilot radiogenomic study of DIPG reveals distinct subgroups with unique clinical trajectories and therapeutic targets.

Authors:  Xiaoting Zhu; Margot A Lazow; Austin Schafer; Allison Bartlett; Shiva Senthil Kumar; Deepak Kumar Mishra; Phillip Dexheimer; Mariko DeWire; Christine Fuller; James L Leach; Maryam Fouladi; Rachid Drissi
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4.  WHO Grade Loses Its Prognostic Value in Molecularly Defined Diffuse Lower-Grade Gliomas.

Authors:  Louise Carstam; Alba Corell; Anja Smits; Anna Dénes; Hanna Barchéus; Klara Modin; Helene Sjögren; Sandra Ferreyra Vega; Thomas Olsson Bontell; Helena Carén; Asgeir Store Jakola
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  4 in total

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