Tuesday, 7 February 2023 to Wednesday, 8 February 2023
Poster
3

Experimental pipelines for the validation of therapeutic target combinations from next generation dual CRISPR-Cas9 screens in cancer

Abstract

Precision medicines are increasingly being adopted as a treatment approach for cancer patients. In this field, the use of targeted combination therapies can reduce treatment side effects, enhance drug efficacy and critically, overcome drug resistance. Despite combination therapies potentially offering significant patient benefit, relatively few combinations of targeted drugs are in clinical development, in part due to the challenge of discovering effective new target combinations. 

Both our team (1) and others (2) have previously used large-scale CRISPR-Cas9 screens to prioritise novel therapeutic targets in cancer. Building on this, we have established a next-generation dual guide vector tool to systematically knock out tens of thousands of gene pairs and identify therapeutically relevant combinations in cancers of unmet clinical need. Our vector system is composed of two sgRNAs with a tRNA spacer, which allows processing by the cell’s endogenous tRNA processing system, enabling simultaneous perturbation of two targets. 

Here, we present ongoing collaborative efforts to validate synergies between potential target combination candidates in two separate, but complementary workflows. High throughput arrayed CRISPR screening, based on systematic target prioritisation takes place in parallel to a lower throughput approach, using a more target-focused and biomarker-driven experimentation. Both approaches utilise orthogonal methodologies to validate target combinations emerging from pooled CRISPR screens, and individually offer their own advantages, as well as generating additional supporting evidence for targets nominated for drug discovery.

Our findings demonstrate the effectiveness of this system for detecting synergistic combinations and constitute a robust framework for performing efficient large-scale genetic interaction screens for the identification of clinically relevant target combinations. In addition, the use of complementary validation systems can increase confidence in the selected target combinations, leading to improved chances of clinical success.

supporting document

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The European Laboratory Research & Innovation Group Our Vision : To provide outstanding, leading edge knowledge to the life sciences community on an open access basis

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