Evidence map›Paper›PMID 33934105›Full record

ReviewOncogene2021

Enhancer rewiring in tumors: an opportunity for therapeutic intervention.

Laia Richart, François-Clément Bidard, Raphaël Margueron

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Transcriptional enhancers and their communication with gene promoters.Cellular and molecular life sciences : CMLS · 2021
    Review
  5. Review
  6. 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

3 authors at 2 institutions in 1 country.

Laia RichartInstitut Curie, Paris Sciences et Lettres Research University, Paris, France.
François-Clément BidardDepartment of Medical Oncology, Institut Curie, Saint-Cloud, Paris, France.ORCID http://orcid.org/0000-0001-5932-8949
Raphaël MargueronInstitut Curie, Paris Sciences et Lettres Research University, Paris, France. raphael.margueron@curie.fr.ORCID http://orcid.org/0000-0002-9093-7977
Centre National de la Recherche Scientifique · FRUniversité de Versailles Saint-Quentin-en-Yvelines · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancers are cis-regulatory sequences that fine-tune expression of their target genes in a spatiotemporal manner. They are recognized by sequence-specific transcription factors, which in turn recruit transcriptional coactivators that facilitate transcription by promoting assembly and activation of the basal transcriptional machinery. Their functional importance is underscored by the fact that they are often the target of genetic and nongenetic events in human disease that disrupt their sequence, interactome, activation potential, and/or chromatin environment. Dysregulation of transcription and addiction to transcriptional effectors that interact with and modulate enhancer activity are common features of cancer cells and are amenable to therapeutic intervention. Here, we discuss the current knowledge on enhancer biology, the broad spectrum of mechanisms that lead to their malfunction in tumor cells, and recent progress in developing drugs that efficaciously target their dependencies.

Indexed as

Enhancer Elements, GeneticAnimalsBromodomain Containing ProteinsCell Cycle ProteinsHumansNeoplasmsTranscription FactorsBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsTranscription Factors

Identifiers

PMID33934105
OpenAlexW3159974974

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.