Evidence map›Paper›PMID 29930756›Full record

ArticleOncotarget2018

Global metabolite profiling analysis of lipotoxicity in HER2/neu-positive breast cancer cells.

Jan Baumann, Mostafa Kokabee, Jason Wong, Rakshika Balasubramaniyam, Yan Sun, Douglas S Conklin

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Metabolic hallmarks of trastuzumab resistance.Expert opinion on therapeutic targets · 2025
    Review
  4. Breast cancer shares many epidemiological, lifestyle, and local hormonal and metabolic underpinnings with endometrial and ovarian cancer: a narrative review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Biomolecules · 2019
    Review
  10. Article
  11. 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

6 authors at 2 institutions in 1 country.

Jan BaumannCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
Mostafa KokabeeCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
Jason WongCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
Rakshika BalasubramaniyamCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
Yan SunCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
Douglas S ConklinCancer Research Center, Department of Biomedical Sciences, State University of New York, University at Albany, Rensselaer, NY 12144, USA.
University at Albany, State University of New York · USNew York University · US

Funding

NR1D1 pathway in breast cancerR01CA136658 · NCI · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI CONKLIN, DOUGLAS S. · 2009 to 2012
$1.2M
NCI NIH HHS R01 CA136658
6 · The paper itself

Abstract

Recent work has shown that HER2/neu-positive breast cancer cells rely on a unique Warburg-like metabolism for survival and aggressive behavior. These cells are dependent on fatty acid (FA) synthesis, show markedly increased levels of stored fats and disruption of the synthetic process results in apoptosis. In this study, we used global metabolite profiling and a multi-omics network analysis approach to model the metabolic changes in this physiology under palmitate-supplemented growth conditions to gain insights into the molecular mechanism and its relevance to disease prevention and treatment. Computational analyses were used to define pathway enrichment based on the dataset of significantly altered metabolites and to integrate metabolomics and transcriptomics data in a multi-omics network analysis. Network-predicted changes and functional relationships were tested with cell assays

Indexed as

HER2/neuhigh fat dietmetabolismnitrogen metabolismpalmitate

Identifiers

PMID29930756
PMCPMC6007458
OpenAlexW2806912159

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.