Evidence map›Paper›PMID 34534367›Full record

ArticleMolecular carcinogenesis2021

Common tumor-suppressive signaling of thyroid hormone receptor beta in breast and thyroid cancer cells.

Eric L Bolf, Noelle E Gillis, Cole D Davidson, Lauren M Cozzens, Sophie Kogut, Jennifer A Tomczak, Seth Frietze, Frances E Carr

Open access · greenAbstract read
In one paragraph

Article in Molecular carcinogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The TSH/Thyroid Hormones Axis and Breast Cancer.Journal of clinical medicine · 2022
    Review
  9. Article
  10. 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

8 authors at 1 institution in 1 country.

Eric L BolfDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0003-2579-2692
Noelle E GillisDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0002-0005-4194
Cole D DavidsonDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0002-3582-2691
Lauren M CozzensDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Sophie KogutDepartment of Biomedical and Health Sciences, College of Nursing and Health Sciences, University of Vermont, Burlington, Vermont, USA.
Jennifer A TomczakDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Seth FrietzeUniversity of Vermont Cancer Center, University of Vermont, Burlington, Vermont, USA.
Frances E CarrDepartment of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0001-7266-8788
University of Vermont · US

Funding

Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI CLIFFORD JAMES ROSEN · 2017 to 2026
$51.6M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Nuclear Receptor Regulation of Epigenetics in Endocrine-Related CancersK00CA245796 · NCI · UNIVERSITY OF MINNESOTA · PI GILLIS, NOELLE ELIZABETH · 2021 to 2024
$366k
Nuclear Receptor Regulation of Epigenetics in Endocrine-Related CancersF99CA245796 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI GILLIS, NOELLE ELIZABETH · 2019 to 2020
$67k
NCI NIH HHS F99 CA245796NCI NIH HHS K00 CA245796NIDDK NIH HHS P30 DK020593NIDDK NIH HHS U24 DK059637NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

The thyroid hormone receptor beta (TRβ) is a tumor suppressor in multiple types of solid tumors, most prominently in breast and thyroid cancer. An increased understanding of the molecular mechanisms by which TRβ abrogates tumorigenesis will aid in understanding the core tumor-suppressive functions of TRβ. Here, we restored TRβ expression in the MDA-MB-468 basal-like breast cancer cell line and perform RNA-sequencing to determine the TRβ-mediated changes in gene expression and associated signaling pathways. The TRβ expressing MDA-MB-468 cells exhibit a more epithelial character as determined by principle component analysis-based iterative PAM50 subtyping score and through reduced expression of mesenchymal cytokeratins. The epithelial to mesenchymal transition pathway is also significantly reduced. The MDA-MB-468 data set was further compared with RNA sequencing results from TRβ expressing thyroid cancer cell line SW1736 to determine which genes are TRβ correspondingly regulated across both cell types. Several pathways including lipid metabolism and chromatin remodeling processes were observed to be altered in the shared gene set. These data provide novel insights into the molecular mechanisms by which TRβ suppresses breast tumorigenesis.

Indexed as

Breast NeoplasmsCell Line, TumorEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLipid MetabolismPrincipal Component AnalysisSequence Analysis, RNASignal TransductionThyroid Hormone Receptors betaThyroid NeoplasmsThyroid Hormone Receptors betabreast cancergene expressionthyroid cancerthyroid hormone

Identifiers

PMID34534367
PMCPMC8585704
OpenAlexW3201092168

What OpenQuestion holds

Textmetadata
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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.