爱尔兰共和国 NSCLC 的基因组状况

IF 3 Q2 ONCOLOGY
Rachel J. Keogh MB BCH BAO , Martin P. Barr PhD , Anna Keogh MB BCH BAO , David McMahon MB BCH BAO , Cathal O’Brien PhD , Stephen P. Finn MD , Jarushka Naidoo MBBCH, MHS
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引用次数: 0

摘要

导言:通过对 NSCLC 患者肿瘤进行新一代测序 (NGS) 确定基因组 "靶点 "后,针对特定患者的靶向治疗方案迅速增加。这项回顾性研究旨在通过广泛的 NGS 面板测试,确定爱尔兰共和国肿瘤存在可采取行动的基因组改变的晚期 NSCLC 患者的比例。确定了在 2017 年 6 月至 2022 年 6 月期间在国家资助的癌症分子诊断实验室(圣詹姆斯医院)通过最大可用 NGS 面板对其肿瘤进行基因组检测的 NSCLC 患者。通过回顾性审查,从爱尔兰所有癌症中心收集了患者人口统计学和肿瘤相关数据,并将其转至癌症分子诊断实验室。共有 203 份(9%)肿瘤样本因肿瘤细胞含量不足而被排除。基因组数据是通过 Ion Reporter 软件的回顾性搜索收集的。使用描述性统计(SPSS 29.0 版)评估了具有致癌驱动基因突变的患者谱系和比例。患者转诊自 23 家不同的医院和所有四个地理区域(莱恩斯特 = 1091 例,占 53%;明斯特 = 763 例,占 37.2%;康纳特 = 191 例,占 9.3%;阿尔斯特 = 7 例,占 0.3%)。中位年龄为 69 岁(26-94 岁);53% 为男性。最常见的肿瘤组织学亚型是腺癌(77%,n = 1577)。在 1099 个病例(53%)中发现了可操作的基因组改变,其中最常见的是 KRAS(n = 657,32%)。NSCLC肿瘤中较少出现以下基因组改变:MET外显子14缺失(n = 53,2.6%)、MET扩增(n = 26,1.3%)、表皮生长因子受体(EGFR)(n = 181,8.8%)、HER2(n = 35,1.7%)和BRAF(n = 72,3.5%)突变。76例患者(3.7%)检测到融合,包括ALK(44例,58%)、RET(11例,14.5%)、ROS1(16例,21%)和FGFR3(5例,6.6%),但未发现NTRK融合。114例患者(5.6%)检测到共变异,其中最常见的是KRAS/PIK3CA(19例,17%)、表皮生长因子受体/PIK3CA(10例,8.5%)和KRAS/IDH1(9例,8%)。结论这是第一项利用最广泛的可用 NGS 面板全面描述爱尔兰 NSCLC 基因组特征的回顾性研究。在 53.4% 的患者中发现了可操作的基因改变,KRAS 是最常见的致癌驱动基因改变。与类似的数据集相比,我们的研究发现肿瘤携带 ALK、ROS1 和 RET 融合的患者发病率较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic Landscape of NSCLC in the Republic of Ireland

Introduction

The identification of genomic “targets” through next-generation sequencing (NGS) of patient’s NSCLC tumors has resulted in a rapid expansion of targeted treatment options for selected patients. This retrospective study aims to identify the proportion of patients with advanced NSCLC in the Republic of Ireland whose tumors harbor actionable genomic alterations through broad NGS panel testing.

Methods

Institutional review board approval was obtained before study initiation. Patients with NSCLC whose tumors underwent genomic testing through the largest available NGS panel at a nationally funded Cancer Molecular Diagnostics laboratory (St. James’s Hospital) between June 2017 and June 2022 were identified. Patient demographics and tumor-related data were collected by retrospective review from all cancer centers in Ireland, referring to the Cancer Molecular Diagnostics laboratory. A total of 203 (9%) tumor samples were excluded due to insufficient neoplastic cell content. Genomic data were collected through retrospective search of Ion Reporter software. The spectrum and proportion of patients with oncogenic driver mutations were evaluated using descriptive statistics (SPSS version 29.0).

Results

In total, 2052 patients were identified. Patients were referred from 23 different hospital sites and all four geographic regions (Leinster = 1091, 53%; Munster = 763, 37.2%; Connacht = 191, 9.3%; Ulster = 7, 0.3%). Median age was 69 (range: 26–94) years; 53% were male. The most common tumor histologic subtype was adenocarcinoma (77%, n = 1577). An actionable genomic alteration was identified in 1099 cases (53%), the most common of which was KRAS (n = 657, 32%). Less frequently, NSCLC tumors harbored the following: MET exon 14 skipping (n = 53, 2.6%), MET amplification (n = 26, 1.3%), EGFR (n = 181, 8.8%), HER2 (n = 35, 1.7%), and BRAF (n = 72, 3.5%) mutations. Fusions were detected in 76 patients (3.7%) including ALK (n = 44, 58%), RET (n = 11, 14.5%), ROS1 (n = 16, 21%), and FGFR3 (n = 5, 6.6%), whereas no NTRK fusion was identified. Co-alterations were detected in 114 patients (5.6%), the most common of which was KRAS/PIK3CA (n = 19, 17%), EGFR/PIK3CA (n = 10, 8.5%), and KRAS/IDH1 (n = 9, 8%). Other co-alterations of interest identified included KRAS G12A/ROS1 fusion (n = 1) and KRAS G12C/BRAF G469A (n = 2).

Conclusions

This is the first retrospective study to comprehensively characterize the genomic landscape of NSCLC in Ireland, using the broadest available NGS panel. Actionable alterations were identified in 53.4% of the patients, and KRAS was the most common oncogenic driver alteration. Our study revealed a lower prevalence of patients whose tumor harbors ALK, ROS1, and RET fusions, compared with similar data sets.

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来源期刊
CiteScore
4.20
自引率
0.00%
发文量
145
审稿时长
19 weeks
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