2 research outputs found

    Aneuploidy renders cancer cells vulnerable to mitotic checkpoint inhibition

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    Selective targeting of aneuploid cells is an attractive strategy for cancer treatment(1). Here, we mapped the aneuploidy landscapes of ~1,000 human cancer cell lines, and analyzed genetic and chemical perturbation screens(2–9) to reveal aneuploidy-associated cellular vulnerabilities. We identified and validated an increased sensitivity of aneuploid cancer cells to genetic perturbation of core components of the spindle assembly checkpoint (SAC), which ensures the proper segregation of chromosomes during mitosis(10). Surprisingly, we also found aneuploid cancer cells to be less sensitive to short-term exposures to multiple SAC inhibitors. Indeed, aneuploid cancer cells became increasingly more sensitive to SAC inhibition (SACi) over time. Aneuploid cells exhibited aberrant spindle geometry and dynamics, and kept dividing in the presence of SACi, resulting in accumulating mitotic defects, and in unstable and less fit karyotypes. Therefore, although aneuploid cancer cells could overcome SACi more readily than diploid cells, their long-term proliferation was jeopardized. We identified a specific mitotic kinesin, KIF18A, whose activity was perturbed in aneuploid cancer cells. Aneuploid cancer cells were particularly vulnerable to KIF18A depletion, and KIF18A overexpression restored their response to SACi. Our study reveals a novel, therapeutically-relevant, synthetic lethal interaction between aneuploidy and the SAC

    Relevance of aneuploidy for cancer therapies targeting the spindle assembly checkpoint and KIF18A

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    Aneuploidy, a common feature of cancer cells, results in increased sensitivity to the inhibition of the spindle assembly checkpoint (SAC) and the mitotic motor protein Kinesin Family Member 18A (KIF18A). We discuss the importance of drugs targeting SAC core members and KIF18A. We stress the need to assess the sensitivity to this class of drugs at appropriate time points, and propose that aneuploidy could serve as a biomarker to stratify patients for SAC-targeting treatments
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