Evidence map›Paper›PMID 40859047›Full record

ReviewNature reviews. Cancer2025

The evolution of cancer and ageing: a history of constraint.

João Pedro de Magalhães

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  3. Article
  4. Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026
    Review
  5. Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Review
  8. Review
  9. 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

1 author.

João Pedro de MagalhãesGenomics of Ageing and Rejuvenation Lab, Department of Inflammation and Ageing, College of Medicine and Health, University of Birmingham, Birmingham, UK. jp@senescence.info.ORCID http://orcid.org/0000-0002-6363-2465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing and cancer are ubiquitous in animals. They are fundamental and generally intrinsic to multicellular life. Nonetheless, ageing and cancer rates vary widely across species and understanding their evolution and interaction is of great biological interest. Although cancer arises from uncontrolled cell proliferation, ageing involves cell loss and degeneration, making them seemingly opposite yet interconnected processes. Because cancer can affect young individuals, natural selection will favour the evolution of cancer resistance over processes that maintain health in later life. As such, I propose that species evolve longer lifespans under the constraints imposed by the need to reduce cancer risk. Mechanisms that suppress cancer, such as telomere shortening and cellular senescence, may inadvertently promote ageing by limiting cell proliferation and tissue regeneration. Selection for tumour suppression may also impact stem cell ageing and contribute to the limited ability of adult tissues to regenerate. Overall, although cancer resistance is essential for the evolution of longevity, tumour suppression mechanisms may also contribute to ageing-related tissue degeneration and functional decline. Studying the trade-offs between the evolution of tumour suppression processes and their impact later in life may provide important insights into ageing processes.

Indexed as

AgingBiological EvolutionNeoplasmsAnimalsCellular SenescenceHumansLongevitySelection, Genetic

Identifiers

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.