Cited by 468Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model OrganismsTGF-β signaling in diseases

The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index; none of the 151 sources its claims cite is checked for support yet.

Inside and out: the activities of senescence in cancer

Open access

Abstract

The core aspect of the senescent phenotype is a stable state of cell cycle arrest. However, this is a disguise that conceals a highly active metabolic cell state with diverse functionality. Both the cell-autonomous and the non-cell-autonomous activities of senescent cells create spatiotemporally dynamic and context-dependent tissue reactions. For example, the senescence-associated secretory phenotype (SASP) provokes not only tumour-suppressive but also tumour-promoting responses. Senescence is now increasingly considered to be an integrated and widespread component that is potentially important for tumour development, tumour suppression and the response to therapy.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review argues that senescence is more than a stable proliferative arrest: senescent cells remain metabolically active and communicate with their surroundings through secreted factors. It surveys how these cell-intrinsic and cell-extrinsic activities can suppress or promote cancer depending on context, with implications for therapy.

Key findings

  • Senescence is heterogeneous and usually involves p53 and RB pathways, alongside telomere shortening/DNA damage responses, autophagy, metabolic shifts, altered secretion, and epigenetic regulation; multiple markers are needed for confident identification.
  • In oncogene-induced and therapy-induced senescence, mitochondrial oxidative phosphorylation can be hyperactive. PDH activity rises in BRAF-V600E- or RAS-G12V-driven senescence; reducing PDH blocks BRAF-V600E senescence, while activating PDH is sufficient to induce senescence in normal cells. In human melanoma, roughly 10% of tumours had above-average PGC1α expression, and MITF/PGC1α-expressing melanoma cells were more resistant to oxidative stress and associated with poor prognosis.
  • Autophagy is activated during senescence and can support SASP components such as IL-6 and IL-8, but its role varies by context; blocking autophagy can delay senescence, cause cell death, or exacerbate senescence depending on the model.
  • The SASP can reinforce or spread senescence, recruit innate and adaptive immune cells to clear senescent cells, or promote tumorigenesis. Examples include NK-cell-mediated clearance via NKG2D–RAE1 and CD4+ T-cell-dependent senescence surveillance; stromal senescence can limit fibrosis and hepatocellular carcinoma in some models but promote hepatocellular carcinoma in an obesity/deoxycholic acid model.

Methods

  • Narrative review; no primary experimental design, dataset, or statistical analysis is reported.
  • The paper synthesizes published in vitro, mouse-model, and human tumour studies across pre-neoplasia, therapy-induced senescence, metabolism, autophagy, SASP, immune clearance, stromal senescence, and cytokine-mediated senescence.
  • Data or sample: Not stated in the paper (no new data collected).

Limitations

  • The paper states that many mechanisms remain unclear and context-dependent, including why mitochondrial dysfunction versus hyperactive respiration is observed, why stromal SASP effects differ between models, and how autophagy acts differently across tissues; further study is needed.
  • Evident from the text: as a review, it does not describe a systematic search or quantitative synthesis, and its conclusions depend on heterogeneous models and contexts.
  • Evident from the text: several sections contain editorial queries and incomplete figure/table formatting, which limits clarity but does not alter the scientific claims summarized.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/nrc3773

Cites

166 of 166 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 151 cited sources checked · 0 supported · 0 flagged

Show all 84 claims

  • Probably not a substantial claim. 8
  • It may state two separate claims as one. 37
  • The quote only partly states this claim. 3
46 of 46

Claims other papers make about this one

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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Lung cancer model has two different KRAS mutations

    Minor

    The same discussion identifies the autophagy-inhibition lung model as KRAS-G12V-driven and then as KRAS-G12D-driven. These are different mutations, so the model is described inconsistently.

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Citations

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Metadata

Authors
Pérez-Mancera, P. A., Young, A. R. J., & Narita, M.
Affiliations
University of Cambridge (GB)
Corresponding author
Narita, Masashi
Venue
Nature Reviews Cancer
Published
2014-07-17
Volume
14
Issue
8
Pages
547-558
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W1963704214
Cited by
462
References
161
Citations by year
2026: 9 · 2025: 26 · 2024: 32 · 2023: 35 · 2022: 41 · 2021: 39 · 2020: 34 · 2019: 41 · 2018: 48 · 2017: 58 · 2016: 55 · 2015: 39 · 2014: 5
FWCI
6.14
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Cancer (publishedVersion)
  • PubMed (publishedVersion)
  • Apollo (University of Cambridge) (submittedVersion)
Funders
Cancer Research UK (15890)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
Keywords
cellular senescence, senescence-associated secretory phenotype, carcinogenesis, tumor progression, tumor suppression, tumor promotion, cell cycle arrest, non-cell-autonomous effects, cancer therapy response
MeSH terms
Animals, Humans, Neoplasms, Precancerous Conditions, Signal Transduction, Cellular Senescence, Tumor Microenvironment

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