Raj Nitya, Shah Ronak, Stadler Zsofia, Mukherjee Semanti, Chou Joanne, Untch Brian, Li Janet, Kelly Virginia, Saltz Leonard B, Mandelker Diana, Ladanyi Marc, Berger Michael F, Klimstra David S, Reidy-Lagunes Diane, Osoba Muyinat
Memorial Sloan Kettering Cancer Center.
Memorial Sloan Kettering Cancer Center; Columbia University College of Physicians and Surgeons, New York, NY.
JCO Precis Oncol. 2018;2018. doi: 10.1200/PO.17.00267. Epub 2018 Apr 19.
We assessed the usefulness of real-time molecular profiling through next-generation sequencing (NGS) in predicting the tumor biology of advanced pancreatic neuroendocrine tumors (panNETs) and in characterizing genomic evolution.
Patients with metastatic panNETs were recruited in the routine clinical practice setting (between May 2014 and March 2017) for prospective NGS of their tumors as well as for germline analysis using the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) sequencing platform. When possible, NGS was performed at multiple time points.
NGS was performed in 96 tumor samples from 80 patients. Somatic alterations were identified in 76 of 80 patients (95%). The most commonly altered genes were (56%), (40%), (25%), and (25%). Alterations could be defined in pathways that included chromatin remodeling factors, histone methyltransferases, and mammalian target of rapamycin pathway genes. Somatic loss of heterozygosity was particularly prevalent (50 of 96 samples [52%]), and the presence of loss of heterozygosity resulted in inferior overall survival ( < .01). Sequencing of pre- and post-treatment samples revealed tumor-grade progression; clonal evolution patterns were also seen (molecular resistance mechanisms and chemotherapy-associated mutagenesis). Germline genetic analysis identified clinically actionable pathogenic or likely pathogenic variants in 14 of 88 patients (16%), including mutations in high-penetrance cancer susceptibility genes (, , and ).
A clinical NGS platform reveals pertubations of biologic pathways in metastatic panNETs that may inform prognosis and direct therapies. Repeat sequencing at disease progression reveals increasing tumor grade and genetic evolution, demonstrating that panNETs adopt a more aggressive behavior through time and therapies. In addition to frequent somatic mutations in and , germline mutations in these same genes underlie susceptibility to panNETs and highlight the need to re-evaluate whether germline genetic analysis should be performed for all patients with panNETs.
我们评估了通过下一代测序(NGS)进行实时分子分析在预测晚期胰腺神经内分泌肿瘤(panNETs)的肿瘤生物学特性及表征基因组进化方面的实用性。
在常规临床实践中(2014年5月至2017年3月)招募转移性panNETs患者,对其肿瘤进行前瞻性NGS,并使用纪念斯隆凯特琳癌症可操作靶点综合突变分析(MSK-IMPACT)测序平台进行种系分析。尽可能在多个时间点进行NGS。
对80例患者的96个肿瘤样本进行了NGS。80例患者中有76例(95%)检测到体细胞改变。最常发生改变的基因是 (56%)、 (40%)、 (25%)和 (25%)。改变可定义于包括染色质重塑因子、组蛋白甲基转移酶和雷帕霉素哺乳动物靶点通路基因的通路中。体细胞杂合性缺失尤为普遍(96个样本中有50个[52%]),杂合性缺失的存在导致总生存期较差( <.01)。治疗前和治疗后样本的测序显示肿瘤分级进展;还观察到克隆进化模式(分子耐药机制和化疗相关诱变)。种系基因分析在88例患者中的14例(16%)中鉴定出临床可操作的致病或可能致病变异,包括高穿透性癌症易感基因( 、 和 )的突变。
临床NGS平台揭示了转移性panNETs中生物通路的扰动,这可能为预后提供信息并指导治疗。在疾病进展时重复测序显示肿瘤分级增加和基因进化,表明panNETs随时间和治疗会表现出更具侵袭性的行为。除了 和 中频繁的体细胞突变外,这些相同基因中的种系突变是panNETs易感性的基础,并突出了重新评估是否应对所有panNETs患者进行种系基因分析的必要性。