Evidence map›Paper›PMID 34675395›Full record

ReviewNature reviews. Cancer2022

Targeting transcription cycles in cancer.

Stephin J Vervoort, Jennifer R Devlin, Nicholas Kwiatkowski, Mingxing Teng, Nathanael S Gray, Ricky W Johnstone

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 164 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Targeting CDKs in the RNAPII transcription cycle.Nature reviews. Drug discovery · 2026
    Review
  5. Article
  6. Review
  7. Article
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  18. Review
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32 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

6 authors at 3 institutions in 2 countries.

Stephin J Vervoort *Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Jennifer R Devlin *Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Nicholas Kwiatkowski *Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
Mingxing TengDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6574-1764
Nathanael S GrayDepartment of Chemical and Systems Biology, CHEM-H and SCI, Stanford Medical School, Stanford University, Stanford, CA, USA. nsgray01@stanford.edu.ORCID http://orcid.org/0000-0001-5354-7403
Ricky W JohnstoneGene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. ricky.johnstone@petermac.org.ORCID http://orcid.org/0000-0001-7053-9237
The University of Melbourne · AUHarvard University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate control of gene expression is essential for normal development and dysregulation of transcription underpins cancer onset and progression. Similar to cell cycle regulation, RNA polymerase II-driven transcription can be considered as a unidirectional multistep cycle, with thousands of unique transcription cycles occurring in concert within each cell. Each transcription cycle comprises recruitment, initiation, pausing, elongation, termination and recycling stages that are tightly controlled by the coordinated action of transcriptional cyclin-dependent kinases and their cognate cyclins as well as the opposing activity of transcriptional phosphatases. Oncogenic dysregulation of transcription can entail defective control of gene expression, either at select loci or more globally, impacting a large proportion of the genome. The resultant dependency on the core-transcriptional machinery is believed to render 'transcriptionally addicted' cancers sensitive to perturbation of transcription. Based on these findings, small molecules targeting transcriptional cyclin-dependent kinases and associated proteins hold promise for the treatment of cancer. Here, we utilize the transcription cycles concept to explain how dysregulation of these finely tuned gene expression processes may drive tumorigenesis and how therapeutically beneficial responses may arise from global or selective transcriptional perturbation. This conceptual framework helps to explain tumour-selective transcriptional dependencies and facilitates the rational design of combination therapies.

Indexed as

NeoplasmsTranscription, GeneticCyclin-Dependent KinasesHumansOncogenesRNA Polymerase IICyclin-Dependent KinasesRNA Polymerase II

Identifiers

PMID34675395
OpenAlexW3207327493

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.