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Tracking Neoantigens by Personalized Circulating Tumor DNA Sequencing during Checkpoint Blockade Immunotherapy in Non‐Small Cell Lung Cancer

机译:非小细胞肺癌检查站封锁免疫治疗期间通过个性化循环肿瘤DNA测序追踪新抗原。

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摘要

The evolutionary dynamics of tumor‐associated neoantigens carry information about drug sensitivity and resistance to the immune checkpoint blockade (ICB). However, the spectrum of somatic mutations is highly heterogeneous among patients, making it difficult to track neoantigens by circulating tumor DNA (ctDNA) sequencing using “one size fits all” commercial gene panels. Thus, individually customized panels (ICPs) are needed to track neoantigen evolution comprehensively during ICB treatment. Dominant neoantigens are predicted from whole exome sequencing data for treatment‐naïve tumor tissues. Panels targeting predicted neoantigens are used for personalized ctDNA sequencing. Analyzing ten patients with non‐small cell lung cancer, ICPs are effective for tracking most predicted dominant neoantigens (80–100%) in serial peripheral blood samples, and to detect substantially more genes (18–30) than the capacity of current commercial gene panels. A more than 50% decrease in ctDNA concentration after eight weeks of ICB administration is associated with favorable progression‐free survival. Furthermore, at the individual level, the magnitude of the early ctDNA response is correlated with the subsequent change in tumor burden. The application of ICP‐based ctDNA sequencing is expected to improve the understanding of ICB‐driven tumor evolution and to provide personalized management strategies that optimize the clinical benefits of immunotherapies.
机译:肿瘤相关新抗原的进化动力学携带有关药物敏感性和对免疫检查点封锁(ICB)的抗性的信息。然而,患者体内的体细胞突变谱高度异质,因此难以通过使用“一种尺寸适合所有人”的商业基因组进行循环肿瘤DNA(ctDNA)测序来追踪新抗原。因此,需要单独定制的面板(ICP)来全面跟踪ICB治疗期间的新抗原进化。从未治疗的肿瘤组织的整个外显子组测序数据可以预测到主要的新抗原。靶向预测的新抗原的面板用于个性化ctDNA测序。通过分析十位非小细胞肺癌患者,ICP可以有效地追踪系列外周血样本中大多数预测的显性新抗原(80–100%),并且检测到的基因数量(18–30)远远超过当前商业基因的能力面板。给予ICB八周后,ctDNA浓度降低50%以上与良好的无进展生存期相关。此外,在个体水平上,早期ctDNA反应的强度与随后的肿瘤负荷变化相关。基于ICP的ctDNA测序的应用有望增进对ICB驱动的肿瘤进化的了解,并提供个性化的管理策略,以优化免疫疗法的临床益处。

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