Iorio Lab

Human Technopole

Nord-Ovest (ITC) · Italy

ERC-funded
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ERC Consolidator Grant · 2023

Transcriptional footprints of cancer dependency shock as a computational tool for early anti-cancer drug discovery

The “oncogenic shock” model has been introduced to describe the interplay between pro-survival and pro-apoptotic signals that follow an oncogene's inactivation and lead to cancer cell death. In my recent work, I demonstrated that identifying novel cancer dependencies through systematic computational analyses of CRISPR functional genetic screens and multi-omic data is an excellent means to discover and prioritise new anti-cancer therapeutic targets. Here, I extend the oncogenic shock concept to any cancer dependency gene. I call “cancer dependency shock” (DepSHOCK) the signal dynamics’ interplay that follows the ablation of any gene essential for cancer cell survival, i.e., cancer dependency…

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