Literature DB >> 15623597

Noninvasive magnetic resonance spectroscopic imaging biomarkers to predict the clinical grade of pediatric brain tumors.

Loukas G Astrakas1, David Zurakowski, A Aria Tzika, Maria K Zarifi, Douglas C Anthony, Umberto De Girolami, Nancy J Tarbell, Peter McLaren Black.   

Abstract

The diagnosis and therapy of childhood brain tumors, most of which are low grade, can be complicated because of their frequent adjacent location to crucial structures, which limits diagnostic biopsy. Also, although new prognostic biomarkers identified by molecular analysis or DNA microarray gene profiling are promising, they too depend on invasive biopsy. Here, we test the hypothesis that combining information from biologically important intracellular molecules (biomarkers), noninvasively obtained by proton magnetic resonance spectroscopic imaging, will increase the diagnostic accuracy in determining the clinical grade of pediatric brain tumors. We evaluate the proton magnetic resonance spectroscopic imaging exams for 66 children with brain tumors. The intracellular biomarkers for choline-containing compounds (Cho), N-acetylaspartate, total creatine, and lipids and/or lactate were measured at the highest Cho region and normalized to the surrounding healthy tissue total creatine. Neuropathological grading was done with WHO criteria. Normalized Cho and lipids and/or lactate were elevated in high-grade (n = 23) versus low-grade (n = 43) tumors, which multiple logistic regression confirmed are independent predictors of tumor grade (for Cho, odds ratio 24.8, P < 0.001; and for lipids and/or lactate, odds ratio 4.4, P < 0.001). A linear combination of normalized Cho and lipids and/or lactate that maximizes diagnostic accuracy was calculated by maximizing the area under the receiver operating characteristic curve. Proton magnetic resonance spectroscopic imaging, although not a proxy for histology, provides noninvasive, in vivo biomarkers for predicting clinical grades of pediatric brain tumors.

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Year:  2004        PMID: 15623597     DOI: 10.1158/1078-0432.CCR-04-0603

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


  43 in total

1.  CNS neoplasm: a missed diagnosis.

Authors:  Anju Aggarwal; Tushar Godbole; Hema Mittal; Rakesh Dua
Journal:  Indian J Pediatr       Date:  2010-10-09       Impact factor: 1.967

Review 2.  A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors.

Authors:  W Hollingworth; L S Medina; R E Lenkinski; D K Shibata; B Bernal; D Zurakowski; B Comstock; J G Jarvik
Journal:  AJNR Am J Neuroradiol       Date:  2006-08       Impact factor: 3.825

Review 3.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

4.  Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers.

Authors:  Ovidiu C Andronesi; Konstantinos D Blekas; Dionyssios Mintzopoulos; Loukas Astrakas; Peter M Black; A Aria Tzika
Journal:  Int J Oncol       Date:  2008-11       Impact factor: 5.650

Review 5.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

Review 6.  Pediatric brainstem gliomas: new understanding leads to potential new treatments for two very different tumors.

Authors:  Adam L Green; Mark W Kieran
Journal:  Curr Oncol Rep       Date:  2015-03       Impact factor: 5.075

7.  2-D magnetic resonance spectroscopic imaging of the pediatric brain using compressed sensing.

Authors:  Rohini Vidya Shankar; Houchun H Hu; Nutandev Bikkamane Jayadev; John C Chang; Vikram D Kodibagkar
Journal:  Pediatr Radiol       Date:  2019-08-28

Review 8.  New MR sequences (diffusion, perfusion, spectroscopy) in brain tumours.

Authors:  Andrea Rossi; Carlo Gandolfo; Giovanni Morana; Mariasavina Severino; Maria Luisa Garrè; Armando Cama
Journal:  Pediatr Radiol       Date:  2010-04-30

Review 9.  Proteomic analyses of CSF aimed at biomarker development for pediatric brain tumors.

Authors:  Nardin Samuel; Marc Remke; James T Rutka; Brian Raught; David Malkin
Journal:  J Neurooncol       Date:  2014-04-26       Impact factor: 4.130

10.  ¹H nuclear magnetic resonance spectroscopy characterisation of metabolic phenotypes in the medulloblastoma of the SMO transgenic mice.

Authors:  S K Hekmatyar; M Wilson; N Jerome; R M Salek; J L Griffin; A Peet; R A Kauppinen
Journal:  Br J Cancer       Date:  2010-09-14       Impact factor: 7.640

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