Evidence map›Paper›PMID 26647820›Full record

ArticleScientific reports2015

Quantifying replicative senescence as a tumor suppressor pathway and a target for cancer therapy.

Ignacio A Rodriguez-Brenes, Dominik Wodarz, Natalia L Komarova

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Cellular Senescence in Health, Disease, and Lens Aging.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  2. Review
  3. Extended lifespan and improved genome stability in HepaRG-derived cell lines through reprogramming by high-density stress.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Review
  5. Article
  6. A dynamical systems model for the measurement of cellular senescence.Journal of the Royal Society, Interface · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 1 institution in 1 country.

Ignacio A Rodriguez-BrenesDepartment of Mathematics, Univeristy of California, Irvine, U.S.A.
Dominik WodarzDepartment of Mathematics, Univeristy of California, Irvine, U.S.A.
Natalia L KomarovaDepartment of Mathematics, Univeristy of California, Irvine, U.S.A.
University of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study quantitatively replicative senescence as a tumor suppressor mechanism, we investigate the distribution of a growing clonal cell population restricted by Hayflick's limit. We find that in the biologically relevant range of parameters, if the imbalance between cell division and death is moderate or low (high death-to-birth ratio), senescence offers significant protection against cancer by halting abnormal cell proliferation at early pre-diagnostic stages of tumor development. We also find that by the time tumors are typically detected, there is a high probability that telomerase is activated, even if the cell of origin was telomerase negative. Hence, the fact that most cancers are positive for telomerase is not necessarily an indication that cancer originated in a telomerase positive cell. Finally, we discuss how the population dynamics of cells can determine the outcomes of anti-telomerase cancer therapies, and provide guidelines on how the model could potentially be applied to develop clinically useful tools to predict the response to treatment by telomerase inhibitors in individual patients.

Indexed as

Models, BiologicalSignal TransductionAlgorithmsCellular SenescenceHumansMolecular Targeted TherapyNeoplasmsTelomeraseTumor Suppressor ProteinsTelomeraseTumor Suppressor Proteins

Identifiers

PMID26647820
PMCPMC4673423
OpenAlexW2195987539

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.