Evidence map›Paper›PMID 19845817›Full record

ArticleJournal of cellular and molecular medicine2011

Metabolic profiling reveals key metabolic features of renal cell carcinoma.

Gareth Catchpole, Alexander Platzer, Cornelia Weikert, Carsten Kempkensteffen, Manfred Johannsen, Hans Krause, Klaus Jung, Kurt Miller, Lothar Willmitzer, Joachim Selbig and 1 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
2.4field-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.

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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 1 country.

Gareth CatchpoleDepartment of Central Metabolism, Max-Planck-Institute of Molecular Plant Physiology, Golm, Germany.
Alexander Platzer
Cornelia Weikert
Carsten Kempkensteffen
Manfred Johannsen
Hans Krause
Klaus Jung
Kurt Miller
Lothar Willmitzer
Joachim Selbig
Steffen Weikert
Charité - Universitätsmedizin Berlin · DEMax Planck Institute of Molecular Plant Physiology · DEUniversity of Potsdam · DEGerman Institute of Human Nutrition · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence suggests that metabolic changes play a pivotal role in the biology of cancer and in particular renal cell carcinoma (RCC). Here, a global metabolite profiling approach was applied to characterize the metabolite pool of RCC and normal renal tissue. Advanced decision tree models were applied to characterize the metabolic signature of RCC and to explore features of metastasized tumours. The findings were validated in a second independent dataset. Vitamin E derivates and metabolites of glucose, fatty acid, and inositol phosphate metabolism determined the metabolic profile of RCC. α-tocopherol, hippuric acid, myoinositol, fructose-1-phosphate and glucose-1-phosphate contributed most to the tumour/normal discrimination and all showed pronounced concentration changes in RCC. The identified metabolic profile was characterized by a low recognition error of only 5% for tumour versus normal samples. Data on metastasized tumours suggested a key role for metabolic pathways involving arachidonic acid, free fatty acids, proline, uracil and the tricarboxylic acid cycle. These results illustrate the potential of mass spectroscopy based metabolomics in conjunction with sophisticated data analysis methods to uncover the metabolic phenotype of cancer. Differentially regulated metabolites, such as vitamin E compounds, hippuric acid and myoinositol, provide leads for the characterization of novel pathways in RCC.

Indexed as

MetabolomeAdultAgedBiomarkers, TumorCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedPrognosisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTumor Cells, CulturedBiomarkers, Tumor

Identifiers

PMID19845817
PMCPMC3822498
OpenAlexW2088225832

What OpenQuestion holds

Textmetadata
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.