Evidence map›Paper›PMID 34584217›Full record

ReviewOncogene2021

Codon optimality in cancer.

Sarah L Gillen, Joseph A Waldron, Martin Bushell

Open access · hybridAbstract readReview
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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. RiboScreenBiomedicines · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Influence of Nucleophosmin (Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. mInternational journal of oral science · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Perseverance of protein homeostasis despite mistranslation of glycine codons with alanine.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  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.

Sarah L GillenCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow, G61 1BD, UK. slg76@cam.ac.uk.ORCID http://orcid.org/0000-0002-0192-864X
Joseph A WaldronCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow, G61 1BD, UK.
Martin BushellCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow, G61 1BD, UK. martin.bushell@glasgow.ac.uk.ORCID http://orcid.org/0000-0001-9938-2691
Cancer Research UK · GBCancer Research UK Scotland Institute · GB

Funding

Cancer Research UK 24388Cancer Research UK 29252Medical Research Council MC_EX_G0902052Medical Research Council MC_UP_A600_1024
6 · The paper itself

Abstract

A key characteristic of cancer cells is their increased proliferative capacity, which requires elevated levels of protein synthesis. The process of protein synthesis involves the translation of codons within the mRNA coding sequence into a string of amino acids to form a polypeptide chain. As most amino acids are encoded by multiple codons, the nucleotide sequence of a coding region can vary dramatically without altering the polypeptide sequence of the encoded protein. Although mutations that do not alter the final amino acid sequence are often thought of as silent/synonymous, these can still have dramatic effects on protein output. Because each codon has a distinct translation elongation rate and can differentially impact mRNA stability, each codon has a different degree of 'optimality' for protein synthesis. Recent data demonstrates that the codon preference of a transcriptome matches the abundance of tRNAs within the cell and that this supply and demand between tRNAs and mRNAs varies between different cell types. The largest observed distinction is between mRNAs encoding proteins associated with proliferation or differentiation. Nevertheless, precisely how codon optimality and tRNA expression levels regulate cell fate decisions and their role in malignancy is not fully understood. This review describes the current mechanistic understanding on codon optimality, its role in malignancy and discusses the potential to target codon optimality therapeutically in the context of cancer.

Indexed as

CodonHumansMutationNeoplasmsProtein BiosynthesisRNA, MessengerRNA StabilityRNA, TransferCodonRNA, MessengerRNA, Transfer

Identifiers

PMID34584217
PMCPMC8585667
OpenAlexW3203576336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.