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The Cancer SENESCopedia: A delineation of cancer cell senescence

Cellular senescence is characterized as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells is obtained from studies in primary cells. However, senescence features may be different in cancer cells, since the pathways that are involved in sen...

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Detalles Bibliográficos
Autores principales: Jochems, Fleur, Thijssen, Bram, De Conti, Giulia, Jansen, Robin, Pogacar, Ziva, Groot, Kelvin, Wang, Liqin, Schepers, Arnout, Wang, Cun, Jin, Haojie, Beijersbergen, Roderick L., Leite de Oliveira, Rodrigo, Wessels, Lodewyk F.A., Bernards, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333195/
https://www.ncbi.nlm.nih.gov/pubmed/34320349
http://dx.doi.org/10.1016/j.celrep.2021.109441
Descripción
Sumario:Cellular senescence is characterized as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells is obtained from studies in primary cells. However, senescence features may be different in cancer cells, since the pathways that are involved in senescence induction are often deregulated in cancer. We report here a comprehensive analysis of the transcriptome and senolytic responses in a panel of 13 cancer cell lines rendered senescent by two distinct compounds. We show that in cancer cells, the response to senolytic agents and the composition of the senescence-associated secretory phenotype are more influenced by the cell of origin than by the senescence trigger. Using machine learning, we establish the SENCAN gene expression classifier for the detection of senescence in cancer cell samples. The expression profiles and senescence classifier are available as an interactive online Cancer SENESCopedia.