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The Cancer SENESCopedia: A delineation of cancer cell senescence
Fleur Jochems 1, Bram Thijssen 1, Giulia De Conti 1, Robin Jansen 1, Ziva Pogacar 1, Kelvin Groot 1, Liqin Wang 1, Arnout Schepers 1, Cun Wang 1, Haojie Jin 1, Roderick L Beijersbergen 2, Rodrigo Leite de Oliveira 1, Lodewyk F A Wessels 3, René Bernards 4
...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.