Cited by 1,160Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model OrganismsPI3K/AKT/mTOR signaling in cancer

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

MTOR regulates the pro-tumorigenic senescence-associated secretory phenotype by promoting IL1A translation

Open access

Abstract

The TOR (target of rapamycin) kinase limits longevity by poorly understood mechanisms. Rapamycin suppresses the mammalian TORC1 complex, which regulates translation, and extends lifespan in diverse species, including mice. We show that rapamycin selectively blunts the pro-inflammatory phenotype of senescent cells. Cellular senescence suppresses cancer by preventing cell proliferation. However, as senescent cells accumulate with age, the senescence-associated secretory phenotype (SASP) can disrupt tissues and contribute to age-related pathologies, including cancer. MTOR inhibition suppressed the secretion of inflammatory cytokines by senescent cells. Rapamycin reduced IL6 and other cytokine mRNA levels, but selectively suppressed translation of the membrane-bound cytokine IL1A. Reduced IL1A diminished NF-κB transcriptional activity, which controls much of the SASP; exogenous IL1A restored IL6 secretion to rapamycin-treated cells. Importantly, rapamycin suppressed the ability of senescent fibroblasts to stimulate prostate tumour growth in mice. Thus, rapamycin might ameliorate age-related pathologies, including late-life cancer, by suppressing senescence-associated inflammation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/ncb3195

Cites

72 of 72 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

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

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 72 references

Cited by

Sorted by citations

Items 201–300 of 998

Metadata

Authors
Laberge, R.-M., Sun, Y., Orjalo, A. V., Patil, C. K., Freund, A., Zhou, L., Curran, S. C., Davalos, A. R., Wilson-Edell, K. A., Liu, S., Limbad, C., Demaria, M., Li, P., Hubbard, G. B., Ikeno, Y., Javors, M., Desprez, P.-Y., Benz, C. C., Kapahi, P., Nelson, P. S., & Campisi, J.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Buck Institute for Research on Aging (US)
  • The University of Texas at San Antonio Health Science Center (US)
  • Fred Hutch Cancer Center (US)
Corresponding author
Campisi, Judith
Venue
Nature Cell Biology
Published
2015-07-06
Volume
17
Issue
8
Pages
1049-1061
ISSN
  • 1465-7392 (ISSN-L)
  • 1476-4679
OpenAlex
W1033197108
Cited by
1,160
References
72
Citations by year
2026: 119 · 2025: 114 · 2024: 109 · 2023: 99 · 2022: 137 · 2021: 122 · 2020: 112 · 2019: 87 · 2018: 89 · 2017: 78 · 2016: 72 · 2015: 22
FWCI
64.11
Type
journal article
Language
en
Open access
Locations
  • Nature Cell Biology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Aging (AG041122, R56AG009909, AG017242, AG-09909, RL1AG032113, AG045288, P01AG025901, R01AG045835, R37AG009909, P01AG041122, K99AG045288, AG032113, P01AG017242, AG000266-16, AG025901, P30AG013319, P30AG044271, T32AG000266)
  • National Cancer Institute (CA097186, CA155679, R21CA155679, U24CA143858, CA165573, R01CA165573, CA071468, CA164188, R01CA071468, CA143858, U01CA164188, P50CA097186)
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 › PI3K/AKT/mTOR signaling in cancer
Keywords
mTOR, TORC1, rapamycin, senescence-associated secretory phenotype, cellular senescence, interleukin-6, NF-κB, senescence-associated inflammation, age-related cancer, longevity, translational regulation
MeSH terms
Animals, Anti-Inflammatory Agents, Antineoplastic Agents, Dose-Response Relationship, Drug, Fibroblasts, Humans, Male, Mitoxantrone, Phenotype, Prostatic Neoplasms, RNA, Messenger, Time Factors, Transcription, Genetic, Transfection, Interleukin-6, Up-Regulation, Gene Expression Regulation, Neoplastic, NF-kappa B, Mice, SCID, Cellular Senescence, Inflammation Mediators, Sirolimus, Xenograft Model Antitumor Assays, RNA Interference, Cell Line, Tumor, Tumor Burden, Cell Proliferation, Interleukin-1alpha, TOR Serine-Threonine Kinases

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review