Inducing and exploiting vulnerabilities for the treatment of liver cancer

Cun Wang, Serena Vegna, Haojie Jin, Bente Benedict, Cor Lieftink, Christel Ramirez, Rodrigo Leite de Oliveira, Ben Morris, Jules Gadiot, Wei Wang, Aimée du Chatinier, Liqin Wang, Dongmei Gao, Bastiaan Evers, Guangzhi Jin, Zheng Xue, Arnout Schepers, Fleur Jochems, Antonio Mulero Sanchez, Sara MainardiHein te Riele, Roderick L. Beijersbergen, Wenxin Qin, Leila Akkari, René Bernards

Research output: Contribution to journalArticlepeer-review

291 Citations (Scopus)

Abstract

Liver cancer remains difficult to treat, owing to a paucity of drugs that target critical dependencies1,2; broad-spectrum kinase inhibitors such as sorafenib provide only a modest benefit to patients with hepatocellular carcinoma3. The induction of senescence may represent a strategy for the treatment of cancer, especially when combined with a second drug that selectively eliminates senescent cancer cells (senolysis)4,5. Here, using a kinome-focused genetic screen, we show that pharmacological inhibition of the DNA-replication kinase CDC7 induces senescence selectively in liver cancer cells with mutations in TP53. A follow-up chemical screen identified the antidepressant sertraline as an agent that kills hepatocellular carcinoma cells that have been rendered senescent by inhibition of CDC7. Sertraline suppressed mTOR signalling, and selective drugs that target this pathway were highly effective in causing the apoptotic cell death of hepatocellular carcinoma cells treated with a CDC7 inhibitor. The feedback reactivation of mTOR signalling after its inhibition6 is blocked in cells that have been treated with a CDC7 inhibitor, which leads to the sustained inhibition of mTOR and cell death. Using multiple in vivo mouse models of liver cancer, we show that treatment with combined inhibition of of CDC7 and mTOR results in a marked reduction of tumour growth. Our data indicate that exploiting an induced vulnerability could be an effective treatment for liver cancer.

Original languageEnglish
Pages (from-to)268-272
Number of pages5
JournalNature
Volume574
Issue number7777
DOIs
Publication statusPublished - 10 Oct 2019
Externally publishedYes

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