On-target mutations confer resistance to WRN helicase inhibitors in Microsatellite Unstable Cancer Cells.
Gabriele PiccoiD, Yanhua RaoiD, Angham Al SaediiD, Samantha J. WalkeriD, Shriram G. BhosleiD, Yang Lee, Sara F. VieiraiD, María Ana García-Casado, Gilberto Valdes Garcia, Kieron MayiD, Francesco Paolo SassiiD, Inigo Barrio Hernandez, Mamta SharmaiD, Cansu DinçeriD, Theo Bell, Anastasia Kavasakali, Ray Shenje, Cuthbert D. Martyr, Edward J. BrnardiciD, Nanhua DengiD, Hristina Grigorova Dimitrova, Emre KarakoçiD, Sandeep Sundara RajaniD, Nicola Chan, Emma HitchiD, , Mathew J. GarnettiD
Abstract
Werner helicase inhibitors (WRNi) are in clinical development for microsatellite-unstable (MSI) tumors with defective DNA mismatch repair. Here, we investigate how cancer cell evolution shapes response to WRN inhibition and informs potential resistance mechanisms. Genome-wide CRISPR screens combined with WRN knockout did not identify bypass mechanisms, underscoring WRNs essential, non-redundant function in MSI cells. Pharmacogenomic screens identified modulators of WRNi sensitivity, including SMARCAL1, which links it to WRN-MSI synthetic lethality. Semi-saturation mutagenesis of WRN and prolonged drug treatment identified on-target WRN mutations driving acquired resistance to multiple WRNi in vitro and in vivo, which was mitigated by combination with standard chemotherapies. Some resistance mutations conferred broad cross-resistance, whereas others preserved sensitivity to alternative clinical-grade WRNi with distinct mechanism of action. Our findings could inform clinical trial design by suggesting the feasibility of real-time tracking of emerging resistance and enabling early therapeutic adaptations. SignificanceWe present the first exploration of how MSI cancer cells evolve under the selective pressure of WRN helicase inhibition, providing a framework for understanding adaptive responses to this newly identified synthetic-lethal dependency. This study identifies on-target WRN mutations as key drivers of resistance in MSI cancers, supporting the use of combination strategies with other standard-of-care treatments to prevent resistance. It highlights how mutation tracking can guide therapeutic switching to clinically available WRN inhibitors with distinct mechanisms of action, thereby refining clinical development and potentially improving biomarker-informed patient outcomes.
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