Evidence map›Paper›PMID 10189713›Full record

ReviewProceedings. Biological sciences1999

Lineage selection and the evolution of multistage carcinogenesis.

L Nunney

Open access · greenAbstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

78 citing papers in PubMed, 222 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Do turtles get cancer?Bioscience · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. The Evolutionary Interplay of Somatic and Germline Mutation Rates.Annual review of biomedical data science · 2024
    Review
  10. A whale of a tale: whale cells evade the driving mechanism for hexavalent chromium-induced chromosome instability.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  11. Article
  12. Article
  13. Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
  14. Article
  15. Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 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

1 author at 1 institution in 1 country.

L NunneyDepartment of Biology, University of California, Riverside 92521, USA.
University of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide array of proto-oncogenes and tumour suppressor genes are involved in the prevention of cancer. Each form of cancer requires mutations in a characteristic group of genes, but no single group controls all cancers. This lack of generality shows that the control of cancer is not an ancient, fixed property of cells. By contrast, it supports a dynamic evolutionary model, whereby genetic controls over unregulated cell growth are recruited independently through evolutionary time in different tissues within different taxa. The complexity of this genetic control can be predicted from a population genetic model of lineage selection driven by the detrimental fitness effects of cancer. Cancer occurs because the genetic control of cell growth is vulnerable to somatic mutations (or 'hits'), particularly in large, continuously dividing tissues. Thus, compared to small rodents, humans must have evolved more complex genetic controls over cell growth in at least some of their tissues because of their greater size and longevity; an expectation relevant to the application of mouse data to humans. Similarly, the 'two-hit' model so successfully applied to retinoblastoma, which originates in a small embryonic tissue, is unlikely to be generally applicable to other human cancers; instead, more complex scenarios are expected to dominate, with complexity depending upon a tissue's size and its pattern of proliferation.

Indexed as

Models, GeneticAnimalsBody ConstitutionCell LineGenetics, PopulationHumansMiceNeoplasms

Identifiers

PMID10189713
PMCPMC1689794
OpenAlexW2091332338

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.