Evidence map›Paper›PMID 33498757›Full record

ArticleCancers2021

Targeted Metabolomics Identifies Plasma Biomarkers in Mice with Metabolically Heterogeneous Melanoma Xenografts.

Daniela D Weber, Maheshwor Thapa, Sepideh Aminzadeh-Gohari, Anna-Sophia Redtenbacher, Luca Catalano, René G Feichtinger, Peter Koelblinger, Guido Dallmann, Michael Emberger, Barbara Kofler and 1 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. 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

11 authors.

Daniela D WeberResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.
Maheshwor ThapaBIOCRATES Life Sciences AG, 6020 Innsbruck, Austria.
Sepideh Aminzadeh-GohariResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.
Anna-Sophia RedtenbacherResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.
Luca CatalanoResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.
René G FeichtingerResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-4215-8258
Peter KoelblingerDepartment of Dermatology and Allergology, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.
Guido DallmannBIOCRATES Life Sciences AG, 6020 Innsbruck, Austria.
Michael EmbergerPatholab Salzburg, 5020 Salzburg, Austria.
Barbara KoflerResearch Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-1198-4776
Roland LangDepartment of Dermatology and Allergology, University Hospital of the Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-9750-0188

Funding

Horizon 2020 Framework Programme EU H2020-MSCA-ITN-2016-722605Les Laboratories Pierre Fabre restrictedParacelsus Medizinische Privatuniversität E-17/25/132-LKKRoche restricted
6 · The paper itself

Abstract

Melanomas are genetically and metabolically heterogeneous, which influences therapeutic efficacy and contributes to the development of treatment resistance in patients with metastatic disease. Metabolite phenotyping helps to better understand complex metabolic diseases, such as melanoma, and facilitates the development of novel therapies. Our aim was to characterize the tumor and plasma metabolomes of mice bearing genetically different melanoma xenografts. We engrafted the human melanoma cell lines A375 (BRAF mutant), WM47 (BRAF mutant), WM3000 (NRAS mutant), and WM3311 (BRAF, NRAS, NF1 triple-wildtype) and performed a broad-spectrum targeted metabolomics analysis of tumor and plasma samples obtained from melanoma-bearing mice as well as plasma samples from healthy control mice. Differences in ceramide and phosphatidylcholine species were observed between melanoma subtypes irrespective of the genetic driver mutation. Furthermore, beta-alanine metabolism differed between melanoma subtypes and was significantly enriched in plasma from melanoma-bearing mice compared to healthy mice. Moreover, we identified beta-alanine,

Indexed as

beta-alanine metabolismcancer metabolismlipid metabolismmelanomametabolic biomarkertargeted metabolomicsWarburg effect

Identifiers

PMID33498757
PMCPMC7865782

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.