Evidence map›Paper›PMID 30419347›Full record

ArticleCancer letters2019

Estrogen-independent Myc overexpression confers endocrine therapy resistance on breast cancer cells expressing ERαY537S and ERαD538G mutations.

Liqun Yu, Lawrence Wang, Chengjian Mao, Darjan Duraki, Ji Eun Kim, Rui Huang, William G Helferich, Erik R Nelson, Ben Ho Park, David J Shapiro

Open access · greenAbstract read
In one paragraph

Article in Cancer letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Liqun YuDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
Lawrence WangDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
Chengjian MaoDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
Darjan DurakiDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
Ji Eun KimDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
Rui HuangDepartment of Biochemistry, University of Illinois, Urbana, IL, USA.
William G HelferichDepartment of Food Science and Human Nutrition, University of Illinois, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois, Urbana, IL, USA.
Erik R NelsonCancer Center at Illinois, University of Illinois, Urbana, IL, USA; Department of Molecular and Integrative Physiology, University of Illinois, Urbana, IL, USA.
Ben Ho ParkDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine, Baltimore, MD, USA.
David J ShapiroDepartment of Biochemistry, University of Illinois, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois, Urbana, IL, USA. Electronic address: djshapir@life.illinois.edu.
University of Illinois Urbana-Champaign · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Pharmacokinetics, Bioavailability, and Metabolism/Daniel R. DoergeP50AT006268 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HELFERICH, WILLIAM G · 2010 to 2015
$7.6M
Targeting Breast Cancer with Small Molecule Inhibitors of Estrogen ReceptorR01DK071909 · NIDDK · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SHAPIRO, DAVID J · 2005 to 2020
$4.3M
NCCIH NIH HHS P50 AT006268NIDDK NIH HHS R01 DK071909
6 · The paper itself

Abstract

Approximately 30% of metastatic breast cancers harbor estrogen receptor α (ERα) mutations associated with resistance to endocrine therapy and reduced survival. Consistent with their constitutive proliferation, T47D and MCF7 cells in which wild-type ERα is replaced by the most common mutations, ERαY537S and ERαD538G, exhibit partially estrogen-independent gene expression. A novel invasion/dissociation/rebinding assay demonstrated that the mutant cells have a higher tendency to dissociate from invasion sites and rebind to a second site. Compared to ERαD538G breast tumors, ERαY537S tumors exhibited a dramatic increase in lung metastasis. Transcriptome analysis showed that the ERαY537S and ERαD538G mutations each elicit a unique gene expression profile. Gene set enrichment analysis showed Myc target pathways are highly induced in mutant cells. Moreover, chromatin immunoprecipitation showed constitutive, fulvestrant-resistant, recruitment of ERα mutants to the Myc enhancer region, resulting in estrogen-independent Myc overexpression in mutant cells and tumors. Knockdown and virus transduction showed Myc is necessary and sufficient for ligand-independent proliferation of the mutant cells but had no effect on metastasis-related phenotypes. Thus, Myc plays a key role in aggressive proliferation-related phenotypes exhibited by breast cancer cells expressing ERα mutations.

Indexed as

Drug Resistance, NeoplasmMutationAntineoplastic Agents, HormonalBinding SitesBreast NeoplasmsCell MovementCell ProliferationEnhancer Elements, GeneticEstrogen Receptor alphaEstrogen Receptor AntagonistsFemaleFulvestrantHumansLung NeoplasmsMCF-7 CellsNeoplasm InvasivenessAntineoplastic Agents, HormonalESR1 protein, humanEstrogen Receptor alphaEstrogen Receptor AntagonistsFulvestrantMYC protein, humanProto-Oncogene Proteins c-mycBreast cancerERαD538GERαY537SMetastasisMycRNAseq

Identifiers

PMID30419347
PMCPMC6351074
OpenAlexW2900043421

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.