Evidence map›Paper›PMID 24596146›Full record

ArticleNMR in biomedicine2014

Characterization of metabolites in infiltrating gliomas using ex vivo ¹H high-resolution magic angle spinning spectroscopy.

Adam Elkhaled, Llewellyn Jalbert, Alexandra Constantin, Hikari A I Yoshihara, Joanna J Phillips, Annette M Molinaro, Susan M Chang, Sarah J Nelson

Abstract read
In one paragraph

Article in NMR in biomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Trial
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  11. A novel roadmap connecting theEuropean radiology experimental · 2021
    Review
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  15. Lower Lactate Levels and Lower Intracellular pH in Patients withAJNR. American journal of neuroradiology · 2020
    Article
  16. Review
  17. Article
  18. Review
  19. Characterization of Brain Metabolism by Nuclear Magnetic Resonance.Chemphyschem : a European journal of chemical physics and physical chemistry · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Adam ElkhaledUniversity of California, Berkeley and University of California, San Francisco Graduate Program in Bioengineering, University of California, Berkeley/San Francisco, CA, USA; Department of Radiology and Biomedical Imaging, University of California, San Francisco (UCSF), CA, USA.
Llewellyn Jalbert
Alexandra Constantin
Hikari A I Yoshihara
Joanna J Phillips
Annette M Molinaro
Susan M Chang
Sarah J Nelson

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Pavithra Viswanath · 2007 to 2026
$44.7M
MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
Intramural NIH HHSNCI NIH HHS P01 CA118816NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA127612
6 · The paper itself

Abstract

Gliomas are routinely graded according to histopathological criteria established by the World Health Organization. Although this classification can be used to understand some of the variance in the clinical outcome of patients, there is still substantial heterogeneity within and between lesions of the same grade. This study evaluated image-guided tissue samples acquired from a large cohort of patients presenting with either new or recurrent gliomas of grades II-IV using ex vivo proton high-resolution magic angle spinning spectroscopy. The quantification of metabolite levels revealed several discrete profiles associated with primary glioma subtypes, as well as secondary subtypes that had undergone transformation to a higher grade at the time of recurrence. Statistical modeling further demonstrated that these metabolomic profiles could be differentially classified with respect to pathological grading and inter-grade conversions. Importantly, the myo-inositol to total choline index allowed for a separation of recurrent low-grade gliomas on different pathological trajectories, the heightened ratio of phosphocholine to glycerophosphocholine uniformly characterized several forms of glioblastoma multiforme, and the onco-metabolite D-2-hydroxyglutarate was shown to help distinguish secondary from primary grade IV glioma, as well as grade II and III from grade IV glioma. These data provide evidence that metabolite levels are of interest in the assessment of both intra-grade and intra-lesional malignancy. Such information could be used to enhance the diagnostic specificity of in vivo spectroscopy and to aid in the selection of the most appropriate therapy for individual patients.

Indexed as

MetabolomeProton Magnetic Resonance SpectroscopyBrain NeoplasmsGliomaHumansLogistic ModelsNeoplasm GradingROC Curve1H HR-MAS spectroscopy2-hydroxyglutarategliomaimage-guided biopsymalignant transformationmetabolite profiling

Identifiers

PMID24596146
PMCPMC3983568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.