Evidence map›Paper›PMID 26493648›Full record

ReviewNature reviews. Cancer2015

Directly targeting transcriptional dysregulation in cancer.

Thomas J Gonda, Robert G Ramsay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
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  9. Activation of Bivalent Gene POU4F1 Promotes and Maintains Basal-like Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. Review
  11. EGR1 suppresses HCC growth and aerobic glycolysis by transcriptionally downregulating PFKL.Journal of experimental & clinical cancer research : CR · 2024
    Article
  12. A large-scale cancer-specific protein-DNA interaction network.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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

2 authors.

Thomas J GondaSchool of Pharmacy, University of Queensland, Pharmacy Australia Centre of Excellence (PACE), 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia.
Robert G RamsayPeter MacCallum Cancer Centre and the Sir Peter MacCallum Oncology Department and the Pathology Department, University of Melbourne, Parkville, Victoria 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drugs that target intracellular signalling pathways have markedly improved progression-free survival of patients with cancers who were previously regarded as untreatable. However, the rapid emergence of therapeutic resistance, as a result of bypass signalling or downstream mutation within kinase-mediated signalling cascades, has curtailed the benefit gained from these therapies. Such resistance mechanisms are facilitated by the linearity and redundancy of kinase signalling pathways. We argue that, in each cancer, the dysregulation of key transcriptional regulators not only defines the cancer phenotype but is essential for its development and maintenance. Furthermore, we propose that, as therapeutic targets, these transcriptional regulators are less prone to bypass by alternative mutational events or clonal heterogeneity, and therefore we must rekindle our efforts to directly target transcriptional regulation across a broad range of cancers.

Indexed as

Gene Expression ProfilingAntineoplastic AgentsBiomarkers, TumorGene Expression RegulationHumansNeoplasmsSignal TransductionAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID26493648

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.