Evidence map›Paper›PMID 21984915›Full record

ArticlePloS one2011

Metabolomic profiling from formalin-fixed, paraffin-embedded tumor tissue using targeted LC/MS/MS: application in sarcoma.

Andrew D Kelly, Susanne B Breitkopf, Min Yuan, Jeffrey Goldsmith, Dimitrios Spentzos, John M Asara

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

44 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Protein tyrosine phosphatase 1B is a regulator of alpha-actinin4 in the glomerular podocyte.Biochimica et biophysica acta. Molecular cell research · 2024
    Article
  6. Article
  7. On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping.International journal of molecular sciences · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Metabolic landscape of oral squamous cell carcinoma.Metabolomics : Official journal of the Metabolomic Society · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

6 authors at 2 institutions in 1 country.

Andrew D KellyDivision of Hematology/Oncology, Sarcoma Program, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.
Susanne B Breitkopf
Min Yuan
Jeffrey Goldsmith
Dimitrios Spentzos
John M Asara
Beth Israel Deaconess Medical Center · USHarvard University · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Tuberous Sclerosis-Pathway and PathogenesisP01CA120964 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI David J. Kwiatkowski · 2007 to 2026
$35.9M
Dissecting sarcoma complexity via innovative microRNA and informatics approachesK22CA138716 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SPENTZOS, DIMITRIOS · 2010 to 2012
$573k
NCI NIH HHS 1 K22 CA138716-01A2NCI NIH HHS 5 P01 CA120964-05NCI NIH HHS 5 P30 CA006516-46NCI NIH HHS K22 CA138716NCI NIH HHS P01 CA120964NCI NIH HHS P30 CA006516
6 · The paper itself

Abstract

The relatively new field of onco-metabolomics attempts to identify relationships between various cancer phenotypes and global metabolite content. Previous metabolomics studies utilized either nuclear magnetic resonance spectroscopy or gas chromatography/mass spectrometry, and analyzed metabolites present in urine and serum. However, direct metabolomic assessment of tumor tissues is important for determining altered metabolism in cancers. In this respect, the ability to obtain reliable data from archival specimens is desirable and has not been reported to date. In this feasibility study, we demonstrate the analysis of polar metabolites extracted directly from ten formalin-fixed, paraffin-embedded (FFPE) specimens, including five soft tissue sarcomas and five paired normal samples. Using targeted liquid chromatography-tandem mass spectrometry (LC/MS/MS) via selected reaction monitoring (SRM), we detect an average of 106 metabolites across the samples with excellent reproducibility and correlation between different sections of the same specimen. Unsupervised hierarchical clustering and principal components analysis reliably recovers a priori known tumor and normal tissue phenotypes, and supervised analysis identifies candidate metabolic markers supported by the literature. In addition, we find that diverse biochemical processes are well-represented in the list of detected metabolites. Our study supports the notion that reliable and broadly informative metabolomic data may be acquired from FFPE soft tissue sarcoma specimens, a finding that is likely to be extended to other malignancies.

Indexed as

MetabolomeParaffin EmbeddingTissue FixationChromatography, LiquidCohort StudiesFormaldehydeHumansMass SpectrometryMetabolomicsPhenotypeProtein Array AnalysisReproducibility of ResultsSarcomaSignal TransductionFormaldehyde

Identifiers

PMID21984915
PMCPMC3184969
OpenAlexW2109057601

What OpenQuestion holds

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LicenceCC BY
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.