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Cellular senescence and the tumour microenvironment

Masaki Takasugi, Yuya Yoshida, Naoko Ohtani

Molecular Oncology · 2022 · ▲ 156 citations

Abstract

The senescence(definition)-associated secretory phenotype (SASP), where senescent cells produce a variety of secreted proteins including inflammatory cytokines, chemokines, matrix remodelling factors, growth factors and so on, plays pivotal but varying roles in the tumour microenvironment. The effects of SASP on the surrounding microenvironment depend on the cell type and process of cellular senescence induction, which is often associated with innate immunity. Via SASP-mediated paracrine effects, senescent cells can remodel the surrounding tissues by modulating the character of adjacent cells, such as stromal, immune cells, as well as cancer cells. The SASP is associated with both tumour-suppressive and tumour-promoting effects, as observed in senescence surveillance effects (tumour-suppressive) and suppression of anti-tumour immunity in most senescent cancer-associated fibroblasts and senescent T cells (tumour-promoting). In this review, we discuss the features and roles of senescent cells in tumour microenvironment with emphasis on their context-dependency that determines whether they promote or suppress cancer development. Potential usage of recently developed drugs that suppress the SASP (senomorphics) or selectively kill senescence cells (senolytics(definition)) in cancer therapy are also discussed.

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Provenance

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OpenAlex
DOI
10.1002/1878-0261.13268
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2026-06-12 MST

Cite this

APA
Takasugi, M., Yoshida, Y., &amp; Ohtani, N. (2022). Cellular senescence and the tumour microenvironment. <em>Molecular Oncology</em>. https://doi.org/10.1002/1878-0261.13268
Vancouver
Takasugi M, Yoshida Y, Ohtani N. Cellular senescence and the tumour microenvironment. Molecular Oncology. 2022. doi:10.1002/1878-0261.13268.
BibTeX
@article{masaki2022Cellul, title = {Cellular senescence and the tumour microenvironment}, author = {Masaki Takasugi and Yuya Yoshida and Naoko Ohtani}, journal = {Molecular Oncology}, year = {2022}, doi = {10.1002/1878-0261.13268}, }

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