Evidence map›Paper›PMID 24737323›Full record

ArticleThe Journal of biological chemistry2014

Tristetraprolin represses estrogen receptor α transactivation in breast cancer cells.

Tonatiuh Barrios-García, Angeles Tecalco-Cruz, Vania Gómez-Romero, Sandra Reyes-Carmona, Iván Meneses-Morales, Alfonso León-Del-Río

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 16% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Roles of Tristetraprolin in Tumorigenesis.International journal of molecular sciences · 2018
    Review
  6. Article
  7. Article
  8. Synergistic drug combinations from electronic health records and gene expression.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  9. Hallmarks of cancer and AU-rich elements.Wiley interdisciplinary reviews. RNA · 2017
    Review
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Tonatiuh Barrios-GarcíaFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico.
Angeles Tecalco-CruzFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico.
Vania Gómez-RomeroFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico.
Sandra Reyes-CarmonaFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico.
Iván Meneses-MoralesFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico.
Alfonso León-Del-RíoFrom the Programa de Investigación de Cáncer de Mama and Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, México D. F. 04510, Mexico leon@biomedicas.unam.mx.
Instituto Nacional de Cancerología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estrogen receptor α (ERα) mediates the effects of 17β-estradiol (E2) in normal mammary gland, and it is a key participant in breast cancer tumor development. ERα transactivation activity is mediated by the synergistic interaction of two domains designated AF1 and AF2. The function of AF2 is to recruit coactivator and corepressor proteins that allow ERα to oscillate between the roles of transcriptional activator and repressor. In contrast, the mechanism responsible for AF-1 transcriptional activity is not completely understood. In this study, we identified tristetraproline (TTP) as a novel ERα-associated protein. TTP expression in MCF7 cells repressed ERα transactivation and reduced MCF7 cell proliferation and the ability of the cells to form tumors in a mouse model. We show that TTP transcriptional activity is mediated through its recruitment to the promoter region of ERα target genes and its interaction with histone deacetylases, in particular with HDAC1. TTP expression attenuates the coactivating activity of SRC-1, suggesting that exchange between TTP and other coactivators may play an important role in fine-tuning ERα transactivation. These results indicate that TTP acts as a bona fide ERα corepressor and suggest that this protein may be a contributing factor in the development of E2-dependent tumors in breast cancer.

Indexed as

AnimalsBreast NeoplasmsCell ProliferationCo-Repressor ProteinsEstradiolEstrogen Receptor alphaFemaleGene Expression Regulation, NeoplasticHep G2 CellsHistone DeacetylasesHumansMCF-7 CellsMiceMice, NudeNeoplasm TransplantationTranscription, GeneticCo-Repressor ProteinsESR1 protein, humanEstradiolEstrogen Receptor alphaHistone DeacetylasesTristetraprolinZFP36 protein, humanCorepressor TranscriptionEstrogen ReceptorGene RegulationHormone ReceptorsNuclear ReceptorsTristetraprolin

Identifiers

PMID24737323
PMCPMC4140911
OpenAlexW1971090058

What OpenQuestion holds

Textmetadata
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.