Evidence map›Paper›PMID 33632416›Full record

ArticleProgress in nuclear magnetic resonance spectroscopy2021

Magnetic resonance spectroscopy for the study of cns malignancies.

Victor Ruiz-Rodado, Jeffery R Brender, Murali K Cherukuri, Mark R Gilbert, Mioara Larion

Open access · hybridAbstract read
In one paragraph

Article in Progress in nuclear magnetic resonance spectroscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Exploring metabolic signatures in urine using NMR for improved prognosis of gliomas.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
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  5. Review
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  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.International journal of molecular sciences · 2023
    Review
  14. Review
  15. Deuterium Metabolic Imaging Reports on TERT Expression and Early Response to Therapy in Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  16. Article
  17. Review
  18. Epigenetic MRI: Noninvasive imaging of DNA methylation in the brain.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  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

5 authors at 2 institutions in 1 country.

Victor Ruiz-RodadoNeuro-Oncology Branch, National Cancer Institute, Center for Cancer Research, National Institute of Health, Bethesda, United States. Electronic address: victor.ruizrodado@nih.gov.
Jeffery R BrenderRadiation Biology Branch, Center for Cancer Research, National Institute of Health, Bethesda, United States.
Murali K CherukuriRadiation Biology Branch, Center for Cancer Research, National Institute of Health, Bethesda, United States.
Mark R GilbertNeuro-Oncology Branch, National Cancer Institute, Center for Cancer Research, National Institute of Health, Bethesda, United States.
Mioara LarionNeuro-Oncology Branch, National Cancer Institute, Center for Cancer Research, National Institute of Health, Bethesda, United States. Electronic address: mioara.larion@nih.gov.
Center for Cancer Research · USNational Cancer Institute · US

Funding

Overhauser Enhanced Magnetic Resonance Imaging (OMRI)ZIABC010477 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHERUKURI, MURALI · 2009 to 2025
$16.1M
The effect of therapeutics on mutated IDH1 cell lines and mice tumor modelsZIABC011707 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARION, MIOARA · 2016 to 2025
$2.4M
In vivo and in vitro metabolic flux analysis in preclinical mouse modelsZIABC011710 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARION, MIOARA · 2016 to 2025
$2.4M
6 · The paper itself

Abstract

Despite intensive research, brain tumors are amongst the malignancies with the worst prognosis; therefore, a prompt diagnosis and thoughtful assessment of the disease is required. The resistance of brain tumors to most forms of conventional therapy has led researchers to explore the underlying biology in search of new vulnerabilities and biomarkers. The unique metabolism of brain tumors represents one potential vulnerability and the basis for a system of classification. Profiling this aberrant metabolism requires a method to accurately measure and report differences in metabolite concentrations. Magnetic resonance-based techniques provide a framework for examining tumor tissue and the evolution of disease. Nuclear Magnetic Resonance (NMR) analysis of biofluids collected from patients suffering from brain cancer can provide biological information about disease status. In particular, urine and plasma can serve to monitor the evolution of disease through the changes observed in the metabolic profiles. Moreover, cerebrospinal fluid can be utilized as a direct reporter of cerebral activity since it carries the chemicals exchanged with the brain tissue and the tumor mass. Metabolic reprogramming has recently been included as one of the hallmarks of cancer. Accordingly, the metabolic rewiring experienced by these tumors to sustain rapid growth and proliferation can also serve as a potential therapeutic target. The combination of

Indexed as

Brain NeoplasmsGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMagnetic Resonance SpectroscopyIsocitrate Dehydrogenase(13)C-tracingBrain tumorsHyperpolarizationMetabolomicsMRS

Identifiers

PMID33632416
PMCPMC7910526
OpenAlexW3106897451

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.