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神经内分泌肿瘤的基因组分析:RADIANT 试验的综合分析。

Genomic profiling of NETs: a comprehensive analysis of the RADIANT trials.

机构信息

University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.

出版信息

Endocr Relat Cancer. 2019 Apr 1;26(4):391-403. doi: 10.1530/ERC-18-0332. Epub 2019 Jan 1.

Abstract

Neuroendocrine tumors (NETs) have historically been subcategorized according to histologic features and the site of anatomic origin. Here, we characterize the genomic alterations in patients enrolled in 3 phase 3 clinical trials of NET of different anatomic origins and assessed the potential correlation with clinical outcomes. Whole-exome and targeted panel sequencing was used to characterize 225 NET samples collected in the RADIANT series of clinical trials. Genomic profiling of NET was analyzed along with nongenomic biomarker data on tumor grade and circulating chromogranin A (CgA) and neuron specific enolase (NSE) levels from these patients enrolled in clinical trials. Our results highlight recurrent large-scale chromosomal alterations as a common theme among NET. Although the specific pattern of chromosomal alterations differed between tumor subtypes, the evidence for generalized chromosomal instability (CIN) was observed across all primary sites of NET. In pancreatic NET, although the P-value was not significant, higher CIN suggests a trend towards longer survival (HR, 0.55, P=0.077); whereas in the gastrointestinal NET, lower CIN was associated with longer survival (HR, 0.44, P=0.0006). Our multivariate analyses demonstrated that when combined with other clinical data among patients with progressive advanced NETs, chromosomal level alteration adds important prognostic information. Large-scale CIN is a common feature of NET, and specific patterns of chromosomal gain and loss appeared to have independent prognostic value in NET subtypes. However, whether CIN in general has clinical significance in NET requires validation in larger patient cohort and warrants further mechanistic studies.

摘要

神经内分泌肿瘤 (NET) 过去一直根据组织学特征和解剖起源部位进行分类。在这里,我们对参加不同解剖起源部位的 3 期 NET 临床试验的患者进行了基因组改变的特征描述,并评估了与临床结果的潜在相关性。对 RADIANT 系列临床试验中收集的 225 个 NET 样本进行了全外显子组和靶向面板测序,以进行基因组分析。对 NET 的基因组分析与肿瘤分级的非基因组生物标志物数据以及来自这些参加临床试验的患者的循环嗜铬粒蛋白 A (CgA) 和神经元特异性烯醇化酶 (NSE) 水平进行了分析。我们的结果突出了反复出现的大规模染色体改变是 NET 的一个共同主题。尽管肿瘤亚型之间特定的染色体改变模式不同,但在所有 NET 的主要部位都观察到了广泛的染色体不稳定 (CIN) 的证据。在胰腺 NET 中,尽管 P 值没有统计学意义,但较高的 CIN 提示生存时间有延长的趋势(HR,0.55,P=0.077);而在胃肠道 NET 中,较低的 CIN 与更长的生存时间相关(HR,0.44,P=0.0006)。我们的多变量分析表明,当与进展期 NET 患者的其他临床数据结合时,染色体水平的改变增加了重要的预后信息。大规模的 CIN 是 NET 的一个常见特征,染色体增益和丢失的特定模式在 NET 亚型中似乎具有独立的预后价值。然而,CIN 一般在 NET 中是否具有临床意义,需要在更大的患者队列中进行验证,并需要进一步的机制研究。

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