Evidence map›Paper›PMID 36831203›Full record

ReviewCells2023

Prime Editing for Human Gene Therapy: Where Are We Now?

Kelly Godbout, Jacques P Tremblay

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Recent advances in therapeutic gene-editing technologies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. CXCR4 Is a Potential Target for Anti-HIV Gene Therapy.International journal of molecular sciences · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Kelly GodboutCentre de Recherche du CHU de Québec-Université Laval, Quebec City, QC G1V 4G2, Canada.ORCID 0000-0002-7567-7978
Jacques P TremblayCentre de Recherche du CHU de Québec-Université Laval, Quebec City, QC G1V 4G2, Canada.ORCID 0000-0001-9404-9195
Université Laval · CA

Funding

CIHR 418059
6 · The paper itself

Abstract

Gene therapy holds tremendous potential in the treatment of inherited diseases. Unlike traditional medicines, which only treat the symptoms, gene therapy has the potential to cure the disease by addressing the root of the problem: genetic mutations. The discovery of CRISPR/Cas9 in 2012 paved the way for the development of those therapies. Improvement of this system led to the recent development of an outstanding technology called prime editing. This system can introduce targeted insertions, deletions, and all 12 possible base-to-base conversions in the human genome. Since the first publication on prime editing in 2019, groups all around the world have worked on this promising technology to develop a treatment for genetic diseases. To date, prime editing has been attempted in preclinical studies for liver, eye, skin, muscular, and neurodegenerative hereditary diseases, in addition to cystic fibrosis, beta-thalassemia, X-linked severe combined immunodeficiency, and cancer. In this review, we portrayed where we are now on prime editing for human gene therapy and outlined the best strategies for correcting pathogenic mutations by prime editing.

Indexed as

Cystic FibrosisGene EditingCRISPR-Cas SystemsGenetic TherapyHumansMutationCRISPR/Cas9gene therapygenetic diseasesinherited diseasesprime editing

Identifiers

PMID36831203
PMCPMC9954691
OpenAlexW4319598375

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.