Evidence map›Paper›PMID 20091860›Full record

ReviewInternational journal of cancer2010

Transcription factor co-repressors in cancer biology: roles and targeting.

Sebastiano Battaglia, Orla Maguire, Moray J Campbell

Abstract readReview
In one paragraph

Review in International journal of cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in molecular biosciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. NetMix2: A Principled Network Propagation Algorithm for Identifying Altered Subnetworks.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  9. Differential molecular mechanistic behavior of HDACs in cancer progression.Medical oncology (Northwood, London, England) · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Review
  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

3 authors at 2 institutions in 1 country.

Sebastiano BattagliaDepartment of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Orla Maguire
Moray J Campbell
Roswell Park Comprehensive Cancer Center · USIn-Q-Tel · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Vitamin D in Prostate Cancer: Tumor Vasculature EffectsR01CA095045 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI JOHNSON, CANDACE S · 2002 to 2012
$3.2M
Vitamin D Analogs for Chemoprevention of Prostate CAncerR01CA095367 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI FOSTER, BARBARA A. · 2002 to 2012
$3.2M
NCI NIH HHS 2R01-CA-095045-06NCI NIH HHS CA016056NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA095045NCI NIH HHS R01 CA095367NCI NIH HHS R01 CA095367-06
6 · The paper itself

Abstract

Normal transcription displays a high degree of flexibility over the choice, timing and magnitude of mRNA expression levels that tend to oscillate and cycle. These processes allow for combinatorial actions, feedback control and fine-tuning. A central role has emerged for the transcriptional co-repressor proteins such as NCOR1, NCOR2/SMRT, CoREST and CTBPs, to control the actions of many transcriptional factors, in large part, by recruitment and activation of a range of chromatin remodeling enzymes. Thus, co-repressors and chromatin remodeling factors are recruited to transcription factors at specific promoter/enhancer regions and execute changes in the chromatin structure. The specificity of this recruitment is controlled in a spatial-temporal manner. By playing a central role in transcriptional control, as they move and target transcription factors, co-repressors act as a key driver in the epigenetic economy of the nucleus. Co-repressor functions are selectively distorted in malignancy, by both loss and gain of function and contribute to the generation of transcriptional rigidity. Features of transcriptional rigidity apparent in cancer cells include the distorted signaling of nuclear receptors and the WNTs/beta-catenin axis. Understanding and predicting the consequences of altered co-repressor expression patterns in cancer cells has diagnostic and prognostic significance, and also have the capacity to be targeted through selective epigenetic therapies.

Indexed as

Transcription, GeneticCell NucleusCo-Repressor ProteinsDNADNA-Binding ProteinsDNA, NeoplasmEpigenesis, GeneticGenomicsHeterochromatinHomeodomain ProteinsHumansModels, GeneticNeoplasmsReceptors, AndrogenTranscription FactorsCo-Repressor ProteinsDNADNA-Binding ProteinsDNA, NeoplasmHeterochromatinHomeodomain ProteinsNKX3-1 protein, humanReceptors, AndrogenTranscription Factors

Identifiers

PMID20091860
PMCPMC2847647
OpenAlexW2073208713

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.