Evidence map›Paper›PMID 28166223›Full record

ArticlePLoS computational biology2017

Activated Oncogenic Pathway Modifies Iron Network in Breast Epithelial Cells: A Dynamic Modeling Perspective.

Julia Chifman, Seda Arat, Zhiyong Deng, Erica Lemler, James C Pino, Leonard A Harris, Michael A Kochen, Carlos F Lopez, Steven A Akman, Frank M Torti and 2 more

Open access · goldAbstract readEvaluation StudyValidation Study
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. A kinetic mathematical model of comprehensive iron metabolism in a respiring yeast cell: a basic-pathways approach to solving a large system dynamically.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Iron and Cancer: 2020 Vision.Cancer research · 2020
    Review
  9. Iron: The cancer connection.Molecular aspects of medicine · 2020
    Review
  10. Systems biology of ferroptosis: A modeling approach.Journal of theoretical biology · 2020
    Article
  11. Review
  12. Article
  13. 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

12 authors at 5 institutions in 1 country.

Julia ChifmanDepartment of Mathematics and Statistics, American University, Washington, DC, USA.ORCID 0000-0002-7520-0627
Seda AratThe Jackson Laboratory, Bar Harbor, ME, USA.ORCID 0000-0002-3988-1947
Zhiyong DengDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.ORCID 0000-0001-9761-9720
Erica LemlerDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.
James C PinoChemical and Physical Biology Graduate Program, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-9882-6748
Leonard A HarrisDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0003-2112-6940
Michael A KochenDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
Carlos F LopezDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0003-3668-7468
Steven A AkmanCancer Program, Roper St Francis HealthCare, Charleston, SC, USA.
Frank M TortiDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, USA.
Suzy V TortiDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.
Reinhard LaubenbacherCenter for Quantitative Medicine, University of Connecticut Health Center, Farmington, CT, USA.
UConn Health · USVanderbilt University · USJackson Laboratory · USAmerican University · USRoper St. Francis Healthcare · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Vanderbilt/Meharry Initiative for Minority Student DvptR25GM062459 · NIGMS · VANDERBILT UNIVERSITY · PI VELEZ EDWARDS, DIGNA R · 2002 to 2020
$10.4M
Training Program in Cancer BiologyT32CA079448 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRIDEL, STEVEN J. · 2000 to 2014
$6.5M
Iron, Ferroptosis and Ovarian CancerR01CA188025 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI TORTI, SUZY V · 2014 to 2024
$3.9M
Ferroportin and Iron HomeostasisR01CA171101 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI TORTI, FRANK M. · 2012 to 2016
$1.7M
A Systems Approach To Iron Metabolism In Cancer CellsR21CA156133 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LAUBENBACHER, REINHARD, TORTI, SUZY V · 2011 to 2012
$384k
NCI NIH HHS P30 CA034196NCI NIH HHS R01 CA171101NCI NIH HHS R01 CA188025NCI NIH HHS R21 CA156133NCI NIH HHS T32 CA079448NIGMS NIH HHS R25 GM062459NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Dysregulation of iron metabolism in cancer is well documented and it has been suggested that there is interdependence between excess iron and increased cancer incidence and progression. In an effort to better understand the linkages between iron metabolism and breast cancer, a predictive mathematical model of an expanded iron homeostasis pathway was constructed that includes species involved in iron utilization, oxidative stress response and oncogenic pathways. The model leads to three predictions. The first is that overexpression of iron regulatory protein 2 (IRP2) recapitulates many aspects of the alterations in free iron and iron-related proteins in cancer cells without affecting the oxidative stress response or the oncogenic pathways included in the model. This prediction was validated by experimentation. The second prediction is that iron-related proteins are dramatically affected by mitochondrial ferritin overexpression. This prediction was validated by results in the pertinent literature not used for model construction. The third prediction is that oncogenic Ras pathways contribute to altered iron homeostasis in cancer cells. This prediction was validated by a combination of simulation experiments of Ras overexpression and catalase knockout in conjunction with the literature. The model successfully captures key aspects of iron metabolism in breast cancer cells and provides a framework upon which more detailed models can be built.

Indexed as

Models, BiologicalSignal TransductionAdaptation, PhysiologicalAnimalsBreastCell Transformation, NeoplasticComputer SimulationEpithelial CellsFemaleHumansIronIron Regulatory Protein 2ras ProteinsTumor Cells, CulturedIronIron Regulatory Protein 2ras Proteins

Identifiers

PMID28166223
PMCPMC5293201
OpenAlexW2586957300

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.