Evidence map›Paper›PMID 26623558›Full record

ArticleOncotarget2016

Integration of tissue metabolomics, transcriptomics and immunohistochemistry reveals ERG- and gleason score-specific metabolomic alterations in prostate cancer.

Sebastian Meller, Hellmuth-A Meyer, Bianca Bethan, Dimo Dietrich, Sandra González Maldonado, Michael Lein, Matteo Montani, Regina Reszka, Philipp Schatz, Erik Peter and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Heliyon · 2024
    Article
  12. Prostate Cancer and the Mevalonate Pathway.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Review
  15. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. The mFrontiers in immunology · 2023
    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

14 authors at 4 institutions in 2 countries.

Sebastian MellerInstitute of Pathology, University Hospital of Bonn, Bonn, Germany.
Hellmuth-A MeyerCampus Wilhelminenhof, University of Applied Sciences, Berlin, Germany.
Bianca BethanMetanomics GmbH, Berlin, Germany.
Dimo DietrichInstitute of Pathology, University Hospital of Bonn, Bonn, Germany.
Sandra González MaldonadoMetanomics GmbH, Berlin, Germany.
Michael LeinBerlin Institute for Urologic Research, Berlin, Germany.
Matteo MontaniInstitute of Pathology, University of Bern, Bern, Switzerland.
Regina ReszkaMetanomics Health GmbH, Berlin, Germany.
Philipp SchatzMetanomics Health GmbH, Berlin, Germany.
Erik PeterMetanomics GmbH, Berlin, Germany.
Carsten StephanBerlin Institute for Urologic Research, Berlin, Germany.
Klaus JungBerlin Institute for Urologic Research, Berlin, Germany.
Beate KamlageMetanomics GmbH, Berlin, Germany.
Glen KristiansenInstitute of Pathology, University Hospital of Bonn, Bonn, Germany.
University Hospital Bonn · DEEcologic Institute · DECharité - Universitätsmedizin Berlin · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated analysis of metabolomics, transcriptomics and immunohistochemistry can contribute to a deeper understanding of biological processes altered in cancer and possibly enable improved diagnostic or prognostic tests. In this study, a set of 254 metabolites was determined by gas-chromatography/liquid chromatography-mass spectrometry in matched malignant and non-malignant prostatectomy samples of 106 prostate cancer (PCa) patients. Transcription analysis of matched samples was performed on a set of 15 PCa patients using Affymetrix U133 Plus 2.0 arrays. Expression of several proteins was immunohistochemically determined in 41 matched patient samples and the association with clinico-pathological parameters was analyzed by an integrated data analysis. These results further outline the highly deregulated metabolism of fatty acids, sphingolipids and polyamines in PCa. For the first time, the impact of the ERG translocation on the metabolome was demonstrated, highlighting an altered fatty acid oxidation in TMPRSS2-ERG translocation positive PCa specimens. Furthermore, alterations in cholesterol metabolism were found preferentially in high grade tumors, enabling the cells to create energy storage. With this integrated analysis we could not only confirm several findings from previous metabolomic studies, but also contradict others and finally expand our concepts of deregulated biological pathways in PCa.

Indexed as

Energy MetabolismGene Expression ProfilingImmunohistochemistryMetabolomicsSystems IntegrationAgedBiomarkers, TumorCholesterolDatabases, GeneticFatty AcidsGas Chromatography-Mass SpectrometryGene Expression Regulation, NeoplasticHumansLinear ModelsMaleMiddle AgedBiomarkers, TumorCholesterolERG protein, humanFatty AcidsOncogene Proteins, FusionTMPRSS2-ERG fusion protein, humanTranscriptional Regulator ERGcholesterolERG translocationfatty acidmetabolitesprostate cancer

Identifiers

PMID26623558
PMCPMC4811470
OpenAlexW2285179499

What OpenQuestion holds

Textmetadata
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.