Therapeutic strategies targeting DNA repair pathway defects have been widely explored, but often only benefit small numbers of patients. Here we characterized potential predictive biomarkers for treatment with AsiDNA, a novel first-in-class DNA repair inhibitor. We evaluated genetic instability and DNA repair defects by direct and indirect assays in 12 breast cancer cell lines to estimate the spontaneous occurrence of single-strand and double-strand breaks (DSB). For each cell line, we monitored constitutive poly(ADP-ribose) polymerase (PARP) activation, spontaneous DNA damage by alkaline comet assay, basal micronuclei (MN) levels, the number of large-scale chromosomal rearrangements (LST), and the status of several DNA repair pathways by transcriptome and genome analysis. Sensitivity to AsiDNA was associated with a high spontaneous frequency of cells with MN and LST and specific alterations in DNA repair pathways that essentially monitor DSB repair defects. A high basal level of MN as a predictive biomarker for AsiDNA treatment was validated in 43 tumor cell lines from various tissues and 15 models of cell- and patient-derived xenografts. MN quantification was also possible in patient biopsies. Overall, this study identified genetic instability as a predictive biomarker for sensitivity to AsiDNA treatment. That MN frequency can be measured in biopsies and does not reveal the same genetic instability as conventional genome assays opens new perspectives for refining the classification of tumors with genetic instability.
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