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首页> 外文期刊>Journal of Pathology: Journal of the Pathological Society of Great Britain and Ireland >Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer
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Tumor mutational burden assessed by targeted NGS predicts clinical benefit from immune checkpoint inhibitors in non‐small cell lung cancer

机译:靶向NGS评估的肿瘤突变负担预测非小细胞肺癌免疫检查点抑制剂的临床益处

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Abstract In non‐small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs) significantly improve overall survival (OS). Tumor mutational burden (TMB) has emerged as a predictive biomarker for patients treated with ICIs. Here, we evaluated the predictive power of TMB measured by the Oncomine? Tumor Mutational Load targeted sequencing assay in 76 NSCLC patients treated with ICIs. TMB was assessed retrospectively in 76 NSCLC patients receiving ICI therapy. Clinical data (RECIST 1.1) were collected and patients were classified as having either durable clinical benefit (DCB) or no durable benefit (NDB). Additionally, genetic alterations and PD‐L1 expression were assessed and compared with TMB and response rate. TMB was significantly higher in patients with DCB than in patients with NDB (median TMB?=?8.5 versus 6.0 mutations/Mb, Mann–Whitney p ?=?0.0244). 64% of patients with high TMB (cut‐off?=?third tertile, TMB?≥?9) were responders (DCB) compared to 33% and 29% of patients with intermediate and low TMB, respectively (cut‐off?=?second and first tertile, TMB?=?5–9 and TMB?≤?4, respectively). TMB‐high patients showed significantly longer progression‐free survival (PFS) and OS (log‐rank test p ?=?0.0014 for PFS and 0.0197 for OS). While identifying different subgroups of patients, combining PD‐L1 expression and TMB increased the predictive power (from AUC 0.63 to AUC 0.65). Our results show that the TML panel is an effective tool to stratify patients for ICI treatment. A combination of biomarkers might maximize the predictive precision for patient stratification. Our study supports TMB evaluation through targeted NGS in NSCLC patient samples as a tool to predict response to ICI therapy. We offer recommendations for a reliable and cost‐effective assessment of TMB in a routine diagnostic setting. ? 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
机译:摘要在非小细胞肺癌(NSCLC)中,免疫检查点抑制剂(ICIS)显着改善整体存活(OS)。肿瘤突变负担(TMB)已成为用ICIS治疗的患者的预测生物标志物。在这里,我们评估了on incomine测量的TMB的预测力量?用ICIS治疗的76例NSCLC患者肿瘤突变载荷靶向测序测定。在76例接受ICI治疗的76名NSCLC患者中评估TMB。收集临床数据(RECIST 1.1),患者被归类为具有持久的临床益处(DCB)或没有耐用的益处(NDB)。另外,评估遗传改变和PD-L1表达,并与TMB和响应率进行比较。 DCB患者的TMB显着高于NDB患者(中位数TMB?= 1.5对6.0突变/ MB,Mann-Whitney P?= 0.0244)。 64%的高TMB患者(切断?=?第三,TMB?≥?9)是响应者(DCB),分别为33%和29%的中间体和低TMB患者(切断?= ?第二和第一个Tertile,TMB?=Δ= 5-9和TMB?分别≤α4)。 TMB-High患者显着更长的无进展生存(PFS)和OS(对数级测试P?= 0.0014用于PFS和0.0197的OS)。在鉴定患者的不同亚组的同时,组合PD-L1表达和TMB增加预测力(从AUC 0.63到AUC 0.65)。我们的研究结果表明,TML面板是对ICI治疗患者进行分层的有效工具。生物标志物的组合可能最大化患者分层的预测精度。我们的研究支持通过NSCLC患者样本中的目标NGS进行TMB评估作为预测对ICI治疗的反应的工具。我们为在日常诊断环境中提供对TMB的可靠和经济效益的评估提供建议。还2019年作者。 John Wiley&amp出版的病理学杂志;儿子有限公司代表大不列颠及北爱尔兰病理学协会。

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