Evidence map›Paper›PMID 27286452›Full record

ArticleOncotarget2016

Breast cancer subtype dictates DNA methylation and ALDH1A3-mediated expression of tumor suppressor RARRES1.

Krysta M Coyle, J Patrick Murphy, Dejan Vidovic, Ahmad Vaghar-Kashani, Cheryl A Dean, Mohammad Sultan, Derek Clements, Melissa Wallace, Margaret L Thomas, Amos Hundert and 6 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
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  5. Article
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  7. Article
  8. Review
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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

16 authors.

Krysta M CoyleDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
J Patrick MurphyDepartment of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
Dejan VidovicDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Ahmad Vaghar-KashaniDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Cheryl A DeanDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Mohammad SultanDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Derek ClementsDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Melissa WallaceDepartment of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
Margaret L ThomasDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Amos HundertDepartment of Psychology and Neuroscience, and Psychiatry, Dalhousie University, Halifax, NS, Canada.
Carman A GiacomantonioDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Lucy HelyerDepartment of Surgery, Dalhousie University, Halifax, NS, Canada.
Shashi A GujarDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Patrick W K LeeDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.
Ian C G WeaverDepartment of Psychology and Neuroscience, and Psychiatry, Dalhousie University, Halifax, NS, Canada.
Paola MarcatoDepartment of Pathology, Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer subtyping, based on the expression of hormone receptors and other genes, can determine patient prognosis and potential options for targeted therapy. Among breast cancer subtypes, tumors of basal-like and claudin-low subtypes are typically associated with worse patient outcomes, are primarily classified as triple-negative breast cancers (TNBC), and cannot be treated with existing hormone-receptor-targeted therapies. Understanding the molecular basis of these subtypes will lead to the development of more effective treatment options for TNBC. In this study, we focus on retinoic acid receptor responder 1 (RARRES1) as a paradigm to determine if breast cancer subtype dictates protein function and gene expression regulation. Patient tumor dataset analysis and gene expression studies of a 26 cell-line panel, representing the five breast cancer subtypes, demonstrate that RARRES1 expression is greatest in basal-like TNBCs. Cell proliferation and tumor growth assays reveal that RARRES1 is a tumor suppressor in TNBC. Furthermore, gene expression studies, Illumina HumanMethylation450 arrays, and chromatin immunoprecipitation demonstrate that expression of RARRES1 is retained in basal-like breast cancers due to hypomethylation of the promoter. Additionally, expression of the cancer stem cell marker, aldehyde dehydrogenase 1A3, which provides the required ligand (retinoic acid) for RARRES1 transcription, is also specific to the basal-like subtype. We functionally demonstrate that the combination of promoter methylation and retinoic acid signaling dictates expression of tumor suppressor RARRES1 in a subtype-specific manner. These findings provide a precedent for a therapeutically-inducible tumor suppressor and suggest novel avenues of therapeutic intervention for patients with basal-like breast cancer.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticAldehyde OxidoreductasesAnimalsBreast NeoplasmsCell Line, TumorFemaleHumansMembrane ProteinsMice, Inbred NODMice, SCIDMiddle AgedPrognosisProtein Interaction MapsRNA InterferenceTransplantation, Heterologousaldehyde dehydrogenase (NAD(P)+)Aldehyde OxidoreductasesMembrane ProteinsRARRES1 protein, humanALDH1A3breast cancerDNA methylationRARRES1retinoic acid

Identifiers

PMID27286452
PMCPMC5190082

What OpenQuestion holds

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Registered trials

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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.