Drug response in a genetically engineered mouse model of multiple myeloma is predictive of clinical efficacy

Marta Chesi, Geoffrey Mark Matthews, Victoria M Garbitt, Stephen E Palmer, Jake Shortt, Marcus Lefebure, A Keith Stewart, Ricky W Johnstone, Peter Leif Bergsagel

Research output: Contribution to journalArticleResearchpeer-review

163 Citations (Scopus)


The attrition rate for anticancer drugs entering clinical trials is unacceptably high. For multiple myeloma (MM), we postulate that this is because of preclinical models that overemphasize the antiproliferative activity of drugs, and clinical trials performed in refractory end-stage patients. We validate the Vk*MYC transgenic mouse as a faithful model to predict single-agent drug activity in MM with a positive predictive value of 67 (4 of 6) for clinical activity, and a negative predictive value of 86 (6 of 7) for clinical inactivity. We identify 4 novel agents that should be prioritized for evaluation in clinical trials. Transplantation of Vk*MYC tumor cells into congenic mice selected for a more aggressive disease that models end-stage drug-resistant MM and responds only to combinations of drugs with single-agent activity in untreated Vk*MYC MM. We predict that combinations of standard agents, histone deacetylase inhibitors, bromodomain inhibitors, and hypoxia-activated prodrugs will demonstrate efficacy in the treatment of relapsed MM.
Original languageEnglish
Pages (from-to)376 - 385
Number of pages10
Issue number2
Publication statusPublished - 2012
Externally publishedYes

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