Evidence map›Paper›PMID 36067206›Full record

ArticlePloS one2022

NMR-based metabolomic analysis identifies RON-DEK-β-catenin dependent metabolic pathways and a gene signature that stratifies breast cancer patient survival.

Sara Vicente-Muñoz, Brian G Hunt, Taylor E Lange, Susanne I Wells, Susan E Waltz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. A-SIMA/A-MAP: a comprehensive toolkit for NMR-based metabolomics analysis.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  4. Review
  5. Article
  6. Article
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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

5 authors at 2 institutions in 1 country.

Sara Vicente-MuñozDivision of Pathology, NMR-Metabolomics Core, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States of America.
Brian G HuntDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH, United States of America.
Taylor E LangeDivision of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States of America.
Susanne I WellsDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States of America.
Susan E WaltzDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH, United States of America.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · US

Funding

Training Program in Cancer TherapeuticsT32CA117846 · NCI · UNIVERSITY OF CINCINNATI · PI PRICE, CAROLYN M, TAKIAR, VINITA · 2006 to 2022
$6.5M
Defining genetic and metabolic requirements of aggressive breast cancerR01CA239697 · NCI · UNIVERSITY OF CINCINNATI · PI WALTZ, SUSAN E, WELLS, SUSANNE I · 2020 to 2024
$2.4M
The Ron Receptor/Chemokine Axis in Prostate CancerR01CA125379 · NCI · UNIVERSITY OF CINCINNATI · PI WALTZ, SUSAN E · 2008 to 2012
$1.3M
Targeting glycolytic metabolism in RON-driven breast cancerF31CA228373 · NCI · UNIVERSITY OF CINCINNATI · PI HUNT, BRIAN GREGORY · 2018 to 2021
$169k
Ron Receptor Tyrosine Kinase Signaling in Breast CancerI01BX000803 · VA · CINCINNATI VA MEDICAL CENTER RESEARCH · PI WALTZ, SUSAN E · 2011 to 2025
–
BLRD VA I01 BX000803NCI NIH HHS F31 CA228373NCI NIH HHS R01 CA125379NCI NIH HHS R01 CA239697
6 · The paper itself

Abstract

backgroundAdvances in detection techniques and treatment have increased the diagnosis of breast cancer at early stages; however, recurrence occurs in all breast cancer subtypes, and both recurrent and de novo metastasis are typically treatment resistant. A growing body of evidence supports the notion that metabolic plasticity drives cancer recurrence. RON and DEK are proteins that promote cancer metastasis and synergize mechanistically to activate β-catenin, but the metabolic consequences are unknown.

methodsTo ascertain RON-DEK-β-catenin dependent metabolic pathways, we utilized an NMR-based metabolomics approach to determine steady state levels of metabolites. We also interrogated altered metabolic pathway gene expression for prognostic capacity in breast cancer patient relapse-free and distant metastasis-free survival and discover a metabolic signature that is likely associated with recurrence.

resultsRON-DEK-β-catenin loss showed a consistent metabolite regulation of succinate and phosphocreatine. Consistent metabolite alterations between RON and DEK loss (but not β-catenin) were found in media glucose consumption, lactate secretion, acetate secretion, and intracellular glutamine and glutathione levels. Consistent metabolite alterations between RON and β-catenin loss (and not DEK) were found only in intracellular lactate levels. Further pathway hits include β-catenin include glycolysis, glycosylation, TCA cycle/anaplerosis, NAD+ production, and creatine dynamics. Genes in these pathways epistatic to RON-DEK-β-catenin were used to define a gene signature that prognosticates breast cancer patient survival and response to chemotherapy.

conclusionsThe RON-DEK-β-catenin axis regulates the numerous metabolic pathways with significant associations to breast cancer patient outcomes.

Indexed as

Breast Neoplasmsbeta CateninCell Line, TumorChromosomal Proteins, Non-HistoneFemaleHumansLactatesMetabolic Networks and PathwaysNeoplasm Recurrence, LocalOncogene ProteinsPoly-ADP-Ribose Binding Proteinsbeta CateninChromosomal Proteins, Non-HistoneDEK protein, humanLactatesOncogene ProteinsPoly-ADP-Ribose Binding Proteins

Identifiers

PMID36067206
PMCPMC9447910
OpenAlexW4294844200

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.