Multiple-low-dose therapy: effective killing of high-grade serous ovarian cancer cells with ATR and CHK1 inhibitors.

NAR Cancer Pub Date : 2022-11-12 eCollection Date: 2022-12-01 DOI:10.1093/narcan/zcac036
Anya Golder, Louisa Nelson, Anthony Tighe, Bethany Barnes, Camilla Coulson-Gilmer, Robert D Morgan, Joanne C McGrail, Stephen S Taylor
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Abstract

High-grade serous ovarian cancer (HGSOC) is an aggressive disease that typically develops drug resistance, thus novel biomarker-driven strategies are required. Targeted therapy focuses on synthetic lethality-pioneered by PARP inhibition of BRCA1/2-mutant disease. Subsequently, targeting the DNA replication stress response (RSR) is of clinical interest. However, further mechanistic insight is required for biomarker discovery, requiring sensitive models that closely recapitulate HGSOC. We describe an optimized proliferation assay that we use to screen 16 patient-derived ovarian cancer models (OCMs) for response to RSR inhibitors (CHK1i, WEE1i, ATRi, PARGi). Despite genomic heterogeneity characteristic of HGSOC, measurement of OCM proliferation was reproducible and reflected intrinsic tumour-cell properties. Surprisingly, RSR targeting drugs were not interchangeable, as sensitivity to the four inhibitors was not correlated. Therefore, to overcome RSR redundancy, we screened the OCMs with all two-, three- and four-drug combinations in a multiple-low-dose strategy. We found that low-dose CHK1i-ATRi had a potent anti-proliferative effect on 15 of the 16 OCMs, and was synergistic with potential to minimise treatment resistance and toxicity. Low-dose ATRi-CHK1i induced replication catastrophe followed by mitotic exit and post-mitotic arrest or death. Therefore, this study demonstrates the potential of the living biobank of OCMs as a drug discovery platform for HGSOC.

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多重低剂量疗法:利用 ATR 和 CHK1 抑制剂有效杀死高级别浆液性卵巢癌细胞。
高级别浆液性卵巢癌(HGSOC)是一种侵袭性疾病,通常会产生耐药性,因此需要新的生物标志物驱动策略。靶向治疗的重点是合成致死--以抑制 BRCA1/2 突变疾病的 PARP 为先驱。随后,靶向 DNA 复制应激反应(RSR)也引起了临床关注。然而,生物标志物的发现还需要进一步的机理研究,这就需要能密切再现 HGSOC 的敏感模型。我们介绍了一种优化的增殖测定法,用来筛选 16 种患者衍生的卵巢癌模型(OCMs)对 RSR 抑制剂(CHK1i、WEE1i、ATRi、PARGi)的反应。尽管 HGSOC 具有基因组异质性的特点,但对 OCM 增殖的测量具有可重复性,并能反映肿瘤细胞的内在特性。令人惊讶的是,RSR 靶向药物不能互换,因为对四种抑制剂的敏感性并不相关。因此,为了克服 RSR 的冗余性,我们采用多重低剂量策略,用所有两种、三种和四种药物组合筛选了 OCM。我们发现,低剂量 CHK1i-ATRi 对 16 种 OCMs 中的 15 种具有强效抗增殖作用,并且具有协同作用,可最大限度地减少耐药性和毒性。低剂量 ATRi-CHK1i 可诱导复制灾难,随后有丝分裂期结束,有丝分裂后停止或死亡。因此,本研究证明了活体生物细胞库作为 HGSOC 药物发现平台的潜力。
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