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Updated: Jan 26, 2026

Using Sniper-Cas9 to Minimize Off-target Effects of CRISPR-Cas9 Without the Loss of On-target Activity Via Directed Evolution
Published on: February 26, 2019
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens
Fiona M Behan1,2, Francesco Iorio1,2,3, Gabriele Picco1
1Wellcome Sanger Institute, Cambridge, UK.
Abstract:
Functional genomics approaches can overcome limitations-such as the lack of identification of robust targets and poor clinical efficacy-that hamper cancer drug development. Here we performed genome-scale CRISPR-Cas9 screens in 324 human cancer cell lines from 30 cancer types and developed a data-driven framework to prioritize candidates for cancer therapeutics. We integrated cell fitness effects with genomic biomarkers and target tractability for drug development to systematically prioritize new targets in defined tissues and genotypes. We verified one of our most promising dependencies, the Werner syndrome ATP-dependent helicase, as a synthetic lethal target in tumours from multiple cancer types with microsatellite instability. Our analysis provides a resource of cancer dependencies, generates a framework to prioritize cancer drug targets and suggests specific new targets. The principles described in this study can inform the initial stages of drug development by contributing to a new, diverse and more effective portfolio of cancer drug targets.
Insights
This study used CRISPR-Cas9 screens across 324 cancer cell lines to identify new therapeutic targets. A key finding is the Werner syndrome helicase as a synthetic lethal target in microsatellite unstable tumors, advancing cancer drug development.
Area of Science:
- Genomics
- Cancer Biology
- Drug Discovery
Background:
- Cancer drug development faces challenges with target identification and clinical efficacy.
- Functional genomics offers a path to overcome these limitations.
Purpose of the Study:
- To perform genome-scale CRISPR-Cas9 screens in a large cohort of human cancer cell lines.
- To develop a data-driven framework for prioritizing cancer therapeutic targets.
- To identify novel, druggable targets for diverse cancer types and genotypes.
Main Methods:
- Genome-scale CRISPR-Cas9 screening in 324 human cancer cell lines across 30 cancer types.
- Integration of cell fitness data with genomic biomarkers and target tractability.
- Prioritization of potential drug targets based on integrated data.
Main Results:
- Identification of numerous cancer-specific dependencies.
- Development of a framework for systematic target prioritization.
- Validation of Werner syndrome ATP-dependent helicase as a synthetic lethal target in microsatellite unstable tumors.
Conclusions:
- The study provides a valuable resource of cancer dependencies and a framework for target discovery.
- Werner syndrome helicase is a promising synthetic lethal target for specific cancer types.
- This approach can contribute to a more diverse and effective pipeline of cancer therapeutics.
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