Evidence map›Paper›PMID 21779512›Full record

ArticleGenes & cancer2011

The Regulation of Aging and Longevity: A New and Complex Role of p53.

Zhaohui Feng, Meihua Lin, Rui Wu

Open access · bronzeAbstract read
In one paragraph

Article in Genes & cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

49 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. The roles of RNA-binding proteins in ovarian aging.Journal of assisted reproduction and genetics · 2026
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  12. Genetic Networks of Alzheimer's Disease, Aging, and Longevity in Humans.International journal of molecular sciences · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Genes and Longevity of Lifespan.International journal of molecular sciences · 2022
    Review
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Zhaohui FengDepartment of Radiation Oncology, The Cancer Institute of New Jersey, University of Medicine and Dentistry of New Jersey, New Brunswick, NJ, USA.
Meihua Lin
Rui Wu
Rutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · US

Funding

The role of glutaminase 2, a novel p53 target gene in metabolism, in liver cancerR01CA143204 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FENG, ZHAOHUI · 2010 to 2014
$1.6M
NCI NIH HHS R01 CA143204
6 · The paper itself

Abstract

p53 plays a critical role in tumor suppression. As a transcription factor, in response to stress signals, p53 regulates its target genes and initiates stress responses, including cell cycle arrest, apoptosis, and/or senescence, to exert its function in tumor suppression. Emerging evidence has suggested that p53 is also an important but complex player in the regulation of aging and longevity in worms, flies, mice, and humans. Whereas p53 accelerates the aging process and shortens life span in some contexts, p53 can also extend life span in some other contexts. Thus, p53 appears to regulate aging and longevity in a context-dependent manner. Here, the authors review some recent advances in the study of the role of p53 in the regulation of aging and longevity in both invertebrate and vertebrate models. Furthermore, they discuss the potential mechanisms by which p53 regulates aging and longevity, including the p53 regulation of insulin/TOR signaling, stem/progenitor cells, and reactive oxygen species.

Indexed as

aginglongevityp53ROSstem cellTOR/insulin/IGF-1

Identifiers

PMID21779512
PMCPMC3135645
OpenAlexW2075298674

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.