The Cancer SENESCopedia: A delineation of cancer cell senescence

Fleur Jochems, Bram Thijssen, Giulia De Conti, Robin Jansen, Ziva Pogacar, Kelvin Groot, Liqin Wang, Arnout Schepers, Lodewyk .F.A. Wessels, More Authors

Research output: Contribution to journalArticleScientificpeer-review

62 Citations (Scopus)
63 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number109441
Number of pages22
JournalCell Reports
Volume36
Issue number4
DOIs
Publication statusPublished - 2021

Keywords

  • ABT-263
  • cancer
  • cell cycle
  • gene expression classifier
  • SASP
  • SENCAN
  • senescence
  • SENESCopedia
  • senolytics
  • transcriptome profiling

Fingerprint

Dive into the research topics of 'The Cancer SENESCopedia: A delineation of cancer cell senescence'. Together they form a unique fingerprint.

Cite this