Related Experiment Video
Updated: Aug 23, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
Overlapping gene dependencies for PARP inhibitors and carboplatin response identified by functional CRISPR-Cas9
Ricardo Coelho1, Alessandra Tozzi1,2, Muriel Disler1
1Ovarian Cancer Research, Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Abstract:
PARP inhibitors (PARPi) have revolutionized the therapeutic landscape of epithelial ovarian cancer (EOC) treatment with outstanding benefits in regard to progression-free survival, especially in patients either carrying BRCA1/2 mutations or harboring defects in the homologous recombination repair system. Yet, it remains uncertain which PARPi to apply and how to predict responders when platinum sensitivity is unknown. To shed light on the predictive power of genes previously suggested to be associated with PARPi response, we systematically reviewed the literature and identified 79 publications investigating a total of 93 genes. The top candidate genes were further tested using a comprehensive CRISPR-Cas9 mutagenesis screening in combination with olaparib treatment. Therefore, we generated six constitutive Cas9+ EOC cell lines and profiled 33 genes in a CRISPR-Cas9 cell competition assay using non-essential (AAVS1) and essential (RPA3 and PCNA) genes for cell fitness as negative and positive controls, respectively. We identified only ATM, MUS81, NBN, BRCA2, and RAD51B as predictive markers for olaparib response. As the major survival benefit of PARPi treatment was reported in platinum-sensitive tumors, we next assessed nine top candidate genes in combination with three PARPi and carboplatin. Interestingly, we observed similar dropout rates in a gene and compound independent manner, supporting the strong correlation of cancer cell response to compounds that rely on DNA repair for their effectiveness. In addition, we report on CDK12 as a common vulnerability for EOC cell survival and proliferation without altering the olaparib response, highlighting its potential as a therapeutic target in EOC.
Insights
Poly (ADP-ribose) polymerase inhibitors (PARPi) show promise in epithelial ovarian cancer (EOC). Researchers identified ATM, MUS81, NBN, BRCA2, and RAD51B as key predictive markers for olaparib response in EOC.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- PARP inhibitors (PARPi) have significantly improved outcomes for epithelial ovarian cancer (EOC) patients, particularly those with BRCA mutations or homologous recombination deficiency.
- Predicting PARPi response remains challenging, especially when platinum sensitivity is unknown, necessitating identification of reliable predictive biomarkers.
Approach:
- A systematic literature review identified 93 genes associated with PARPi response, with top candidates further investigated using CRISPR-Cas9 mutagenesis screening in EOC cell lines treated with olaparib.
- CRISPR-Cas9 cell competition assays were performed to profile gene dependencies on cell fitness and drug response, using essential and non-essential genes as controls.
Key Points:
- ATM, MUS81, NBN, BRCA2, and RAD51B were identified as predictive markers for olaparib response in EOC.
- Gene response to PARPi and carboplatin was compound and gene-independent, suggesting a strong correlation in DNA repair-dependent drug effectiveness.
- CDK12 was identified as a vulnerability for EOC cell survival and proliferation, independent of olaparib response, indicating its potential as a therapeutic target.
Conclusions:
- This study refines the understanding of PARPi response prediction in EOC by identifying specific genetic markers.
- The findings highlight the interconnectedness of DNA repair pathways in mediating sensitivity to DNA-damaging agents like PARPi and platinum chemotherapy.
- CDK12 presents a novel therapeutic avenue for EOC treatment, warranting further investigation.
Related Concept Videos
CRISPR
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
CRISPR/Cas9 Genome Editing
CRISPR and crRNAs
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...

