Evidence map›Paper›PMID 37832550›Full record

ReviewCell stem cell2023

Stem cell mutations, associated cancer risk, and consequences for regenerative medicine.

Lucca L M Derks, Ruben van Boxtel

Open access · hybridAbstract readReview
In one paragraph

Review in Cell stem cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Stem cell competition.Current topics in developmental biology · 2026
    Review
  10. Review
  11. Article
  12. Polyclonal origins of human premalignant colorectal lesions.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Elucidation of Factors Affecting the Age-Dependent Cancer Occurrence Rates.International journal of molecular sciences · 2024
    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

2 authors at 1 institution in 1 country.

Lucca L M DerksPrincess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands.
Ruben van BoxtelPrincess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, the Netherlands; Oncode Institute, Jaarbeursplein 6, 3521 AL Utrecht, the Netherlands. Electronic address: r.vanboxtel@prinsesmaximacentrum.nl.
Oncode Institute · NL

Funding

European Research Council
6 · The paper itself

Abstract

Mutation accumulation in stem cells has been associated with cancer risk. However, the presence of numerous mutant clones in healthy tissues has raised the question of what limits cancer initiation. Here, we review recent developments in characterizing mutation accumulation in healthy tissues and compare mutation rates in stem cells during development and adult life with corresponding cancer risk. A certain level of mutagenesis within the stem cell pool might be beneficial to limit the size of malignant clones through competition. This knowledge impacts our understanding of carcinogenesis with potential consequences for the use of stem cells in regenerative medicine.

Indexed as

Regenerative MedicineStem CellsAdultCarcinogenesisHumansMutationcarcinogenesisclonal dynamicssomatic mutationsstem cell genomics

Identifiers

PMID37832550
PMCPMC10624213
OpenAlexW4387570502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.