Evidence map›Paper›PMID 23340650›Full record

ArticleInternational journal of molecular sciences2013

Metabolic profiles of brain metastases.

Torill E Sjøbakk, Riyas Vettukattil, Michel Gulati, Sasha Gulati, Steinar Lundgren, Ingrid S Gribbestad, Sverre H Torp, Tone F Bathen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00184275 (Brain Metastases Tissue Characterized by High-resolution Magic Angle Spinning MR and Micro Array), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 10% 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.

NCT00184275 completednot on this map

Brain Metastases Tissue Characterized by High-resolution Magic Angle Spinning MR and Micro Array

TypeobservationalSponsorNorwegian University of Science and TechnologyRan2005 to 2010Enrolled26ConditionsNeoplasm Metastasis, Lung Neoplasms, Breast Neoplasms, Melanoma
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Growth Dynamics of Brain Tumor Through the Lens of MT-Weighted MRI.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Brain metastasis-initiating cells: survival of the fittest.International journal of molecular sciences · 2014
    Review
  17. 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 at 2 institutions in 1 country.

Torill E SjøbakkMI Lab, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim N-7491, Norway. torill.sjobakk@ntnu.no.
Riyas Vettukattil
Michel Gulati
Sasha Gulati
Steinar Lundgren
Ingrid S Gribbestad
Sverre H Torp
Tone F Bathen
St Olav's University Hospital · NONorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis to the brain is a feared complication of systemic cancer, associated with significant morbidity and poor prognosis. A better understanding of the tumor metabolism might help us meet the challenges in controlling brain metastases. The study aims to characterize the metabolic profile of brain metastases of different origin using high resolution magic angle spinning (HR-MAS) magnetic resonance spectroscopy (MRS) to correlate the metabolic profiles to clinical and pathological information. Biopsy samples of human brain metastases (n = 49) were investigated. A significant correlation between lipid signals and necrosis in brain metastases was observed (p < 0.01), irrespective of their primary origin. The principal component analysis (PCA) showed that brain metastases from malignant melanomas cluster together, while lung carcinomas were metabolically heterogeneous and overlap with other subtypes. Metastatic melanomas have higher amounts of glycerophosphocholine than other brain metastases. A significant correlation between microscopically visible lipid droplets estimated by Nile Red staining and MR visible lipid signals was observed in metastatic lung carcinomas (p = 0.01), indicating that the proton MR visible lipid signals arise from cytoplasmic lipid droplets. MRS-based metabolomic profiling is a useful tool for exploring the metabolic profiles of metastatic brain tumors.

Indexed as

Lipid MetabolismMagnetic Resonance ImagingAdultAgedAged, 80 and overBrain NeoplasmsFemaleHumansMaleMiddle AgedRadiography

Identifiers

PMID23340650
PMCPMC3565368
OpenAlexW2089723503

What OpenQuestion holds

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Registered trials

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.