Abstract 2743: Finding determinants of PARP inhibitor sensitivity using genome-wide and focused CRISPR screens

Abstract

Abstract We are using genomic approaches to study the mechanism of action of targeted cancer drugs, particularly poly(ADP-ribose) polymerase (PARP) inhibitors. One of these drugs, olaparib was recently approved for use in ovarian cancers with germline BRCA1/2 mutations and many other clinical trials with this and other PARP inhibitors are underway. Experimental study of potential resistance mechanisms can inform the ongoing clinical development of these drugs. We previously carried out a loss of function mutagenesis screen in haploid cells, which showed that PARP1 was required for cellular toxicity of olaparib and other PARP inhibitors. This supported the hypothesis that PARP inhibitor toxicity occurs via a poisoning mechanism where inhibited PARP is tightly bound to DNA, forming a toxic lesion. Recently we carried out a similar screen using genome-wide lentiviral CRISPR-Cas9 mutagenesis in diploid cells. Many PARP inhibitor resistant clones had loss of function Parp1 mutations as expected. However, we also isolated a point mutation affecting a single amino acid in the Parp1 DNA binding domain. This mutant encodes a stable Parp1 protein that cannot bind DNA and does not become trapped in the presence of inhibitors. Thus the CRISPR screen implicated PARP1 DNA binding directly in determination of PARP inhibitor toxicity and was extremely informative about the mechanism of action compared to conventional loss-of-function mutagenesis. We extended this approach by synthesising a high-density focused sgRNA library targeting only PARP1. We developed a reporter cell line that allows us to selectively isolate in-frame mutations that preserve PARP1 protein expression. By deep sequencing mutagenised and appropriately selected cells we identified a series of subtle mutations in PARP1 that result in PARP inhibitor resistance, giving us a detailed insight into structure-function relationships in PARP1. The approach is applicable to other drug targets, providing a framework for understanding drug action and predicting clinical resistance. Citation Format: Stephen Pettitt, Dragomir B. Krastev, Feifei Song, Alan Ashworth, Christopher J. Lord. Finding determinants of PARP inhibitor sensitivity using genome-wide and focused CRISPR screens. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2743.