Evidence map›Paper›PMID 27869171›Full record

ArticleOncogene2017

Epigenetic activation of the prostaglandin receptor EP4 promotes resistance to endocrine therapy for breast cancer.

J F Hiken, J I McDonald, K F Decker, C Sanchez, J Hoog, N D VanderKraats, K L Jung, M Akinhanmi, L E Rois, M J Ellis and 1 more

Abstract read
In one paragraph

Article in Oncogene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Eicosanoids in Cancer: Prostaglandin EFrontiers in pharmacology · 2020
    Review
  11. Article
  12. EP4 as a Therapeutic Target for Aggressive Human Breast Cancer.International journal of molecular sciences · 2018
    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

11 authors at 3 institutions in 2 countries.

J F HikenDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
J I McDonaldDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
K F DeckerDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
C SanchezHaematology-Oncology Department, Cancer Programme, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
J HoogDivision of Oncology, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA.
N D VanderKraatsDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
K L JungDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
M AkinhanmiDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
L E RoisDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
M J EllisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
J R EdwardsDepartment of Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St Louis, MO, USA.
Washington University in St. Louis · USBaylor College of Medicine · USPontificia Universidad Católica de Chile · CL

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
MODELING DNA METHYLATION'S ROLE IN GENE REGULATIONR01GM108811 · NIGMS · WASHINGTON UNIVERSITY · PI EDWARDS, JOHN R. · 2014 to 2018
$1.7M
Novel approach to whole genome methylation profiling of breast cancerR00CA127360 · NCI · WASHINGTON UNIVERSITY · PI EDWARDS, JOHN R. · 2010 to 2012
$732k
A MACHINE LEARNING APPROACH FOR FINE-SCALE GENOME WIDE DNA METHYLATION ANALYSISR21LM011199 · NLM · WASHINGTON UNIVERSITY · PI EDWARDS, JOHN R. · 2012 to 2013
$288k
NCATS NIH HHS UL1 TR000448NCI NIH HHS P30 CA091842NCI NIH HHS R00 CA127360NIGMS NIH HHS R01 GM108811NLM NIH HHS R21 LM011199
6 · The paper itself

Abstract

Approximately 75% of breast cancers express estrogen receptor α (ERα) and depend on estrogen signals for continued growth. Aromatase inhibitors (AIs) prevent estrogen production and inhibit ER signaling, resulting in decreased cancer recurrence and mortality. Advanced tumors treated with AIs almost always develop resistance to these drugs via the upregulation of alternative growth signals. The mechanisms that drive this resistance-especially epigenetic events that alter gene expression-are, however, not well understood. Genome-wide DNA methylation and expression analysis of cell line models of acquired AI resistance indicated that prostaglandin E

Indexed as

Epigenesis, GeneticAntineoplastic AgentsAromatase InhibitorsBreast NeoplasmsCell ProliferationDNA MethylationDNA, NeoplasmDrug Resistance, NeoplasmEstrogen Receptor alphaFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsProtein-Arginine N-MethyltransferasesReceptors, Prostaglandin E, EP4 SubtypeSignal TransductionAntineoplastic AgentsAromatase Inhibitorscoactivator-associated arginine methyltransferase 1DNA, NeoplasmESR1 protein, humanEstrogen Receptor alphaProtein-Arginine N-MethyltransferasesPTGER4 protein, humanReceptors, Prostaglandin E, EP4 Subtype

Identifiers

PMID27869171
PMCPMC5398938
OpenAlexW2553917024

What OpenQuestion holds

Textmetadata
LicenceTDM
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.