Evidence map›Paper›PMID 29619217›Full record

ArticleCancer & metabolism2018

Metabolomics of oncogene-specific metabolic reprogramming during breast cancer.

Chen Dai, Jennifer Arceo, James Arnold, Arun Sreekumar, Norman J Dovichi, Jun Li, Laurie E Littlepage

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.Journal of experimental & clinical cancer research : CR · 2024
    Review
  5. Review
  6. Heliyon · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. TNFAIP8 drives metabolic reprogramming to promote prostate cancer cell proliferation.The international journal of biochemistry & cell biology · 2021
    Article
  12. Review
  13. Article
  14. (2Cancers · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Metabolic rearrangements in primary liver cancers: cause and consequences.Nature reviews. Gastroenterology & hepatology · 2019
    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

7 authors at 2 institutions in 1 country.

Chen Dai1Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556 USA.
Jennifer Arceo1Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556 USA.
James Arnold3Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030 USA.
Arun Sreekumar3Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030 USA.
Norman J Dovichi1Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556 USA.
Jun Li2Harper Cancer Research Institute, University of Notre Dame, 1234 N Notre Dame Avenue, South Bend, IN 46617 USA.
Laurie E Littlepage1Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556 USA.ORCID 0000-0002-0839-8274
University of Notre Dame · USBaylor College of Medicine · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Interactions Regulating Translation and Protein Biogenesis in VivoU54GM105816 · NIGMS · UNIVERSITY OF NOTRE DAME · PI BUSKIRK, ALLEN ROWDON, CLARK, PATRICIA LOUISE · 2013 to 2017
$3.7M
Technology for single cell proteomics and its application to the analysis of single Xenopus blastomeresR01GM096767 · NIGMS · UNIVERSITY OF NOTRE DAME · PI DOVICHI, NORMAN J · 2011 to 2019
$2.5M
Delineating racially distinct metabolic pathways in triple negative breast cancerU01CA179674 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SREEKUMAR, ARUN · 2014 to 2018
$1.7M
Online Raman Diagnostics of OncometabolitesR33CA206922 · NCI · UNIVERSITY OF NOTRE DAME · PI SCHULTZ, ZACHARY · 2016 to 2018
$1.0M
NCATS NIH HHS UL1 TR001108NCI NIH HHS R33 CA206922NCI NIH HHS U01 CA179674NIGMS NIH HHS R01 GM096767NIGMS NIH HHS U54 GM105816
6 · The paper itself

Abstract

backgroundThe complex yet interrelated connections between cancer metabolism and oncogenic driver genes are relatively unexplored but have the potential to identify novel biomarkers and drug targets with prognostic and therapeutic value. The goal of this study was to identify global metabolic profiles of breast tumors isolated from multiple transgenic mouse models and to identify unique metabolic signatures driven by these oncogenes.

methodsUsing mass spectrometry (GC-MS, LC-MS/MS, and capillary zone electrophoresis (CZE)-MS platforms), we quantified and compared the levels of 374 metabolites in breast tissue from normal and transgenic mouse breast cancer models overexpressing a panel of oncogenes (PyMT, PyMT-DB, Wnt1, Neu, and C3-TAg). We also compared the mouse metabolomics data to published human metabolomics data already linked to clinical data.

resultsThrough analysis of our metabolomics data, we identified metabolic differences between normal and tumor breast tissues as well as metabolic differences unique to each initiating oncogene. We also quantified the metabolic profiles of the mammary fat pad versus mammary epithelium by CZE-MS/MS. However, the differences between the tissues did not account for the majority of the metabolic differences between the normal mammary gland and breast tumor tissues. Therefore, the differences between the cohorts were unlikely due to cellular heterogeneity. Of the mouse models used in this study, C3-TAg was the only cohort with a tumor metabolic signature composed of ten metabolites that had significant prognostic value in breast cancer patients. Gene expression analysis identified candidate genes that may contribute to the metabolic reprogramming.

conclusionsThis study identifies oncogene-induced metabolic reprogramming within mouse breast tumors and compares the results to that of human breast tumors, providing a unique look at the relationship between and clinical value of oncogene initiation and metabolism during breast cancer.

Indexed as

Breast cancerMetabolic reprogrammingMetabolomicsOncogeneTransgenic mouse model

Identifiers

PMID29619217
PMCPMC5881178
OpenAlexW2796136646

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.