Evidence map›Paper›PMID 27629030›Full record

ArticleProceedings. Biological sciences2016

Size, longevity and cancer: age structure.

Maarten J Wensink

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. 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. Article
  3. Article
  4. Review
  5. The Danaid Theory of Aging.Frontiers in cell and developmental biology · 2021
    Review
  6. Variability Matters.International journal of environmental research and public health · 2020
    Article
  7. Article
  8. Article
  9. DNA helix: the importance of being AT-rich.Mammalian genome : official journal of the International Mammalian Genome Society · 2017
    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

1 author.

Maarten J WensinkMax Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, Winsløws Vej 9B, 5000 C Odense, Denmark Institute of Public Health, University of Southern Denmark, Winsløws Vej 9B, 5000 C Odense, Denmark mwensink@health.sdu.dk.ORCID 0000-0001-6518-1015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is significant recent interest in Peto's paradox and the related problem of the evolution of large, long-lived organisms in terms of cancer robustness. Peto's paradox refers to the expectation that large, long-lived organisms have a higher lifetime cancer risk, which is not the case: a paradox. This paradox, however, is circular: large, long-lived organisms are large and long-lived because they are cancer robust. Lifetime risk, meanwhile, depends on the age distributions of both cancer and competing risks: if cancer strikes before competing risks, then lifetime risk is high; if not, not. Because no set of competing risks is generally prevalent, it is instructive to temporarily dispose of competing risks and investigate the pure age dynamics of cancer under the multistage model of carcinogenesis. In addition to augmenting earlier results, I show that in terms of cancer-free lifespan large organisms reap greater benefits from an increase in cellular cancer robustness than smaller organisms. Conversely, a higher cellular cancer robustness renders cancer-free lifespan more resilient to an increase in size. This interaction may be an important driver of the evolution of large, cancer-robust organisms.

Indexed as

Body SizeLongevityNeoplasmsAnimalsHumansModels, BiologicalProbabilitycancerevolutionlongevitymulticellularityPeto's paradox

Identifiers

PMID27629030
PMCPMC5031666

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.