背景:已知非小细胞肺癌(NSCLC)的一些基因组改变因种族而异,性别,或年龄。这些研究的样本量有限,因此无法准确和全面地检测差异。
方法:在常规临床治疗期间,对来自美国的75,362例NSCLC患者进行了基于组织的综合基因组分析。此外,我们检查了1,019例日本NSCLC队列的数据.在美国队列中,检测了296个基因的致病性改变。主要的遗传祖先是使用基于SNP的方法推断的,患者被归类为欧洲(EUR),非洲(AFR),东亚(EAS),混合美国(AMR),和南亚(SAS)祖先组。患者还按组织学类型分层,年龄(<40/≥40岁,<75/≥75岁),和性爱。还计算了高肿瘤突变负荷(TMB-High)和微卫星不稳定性状态的患病率。
结果:按祖先分层,与其他祖先组相比,EAS中的EGFR改变显着富集。ALK在AMR中的患病率明显较高,EAS,SAS患者高于AFR和EUR患者。与其他组相比,KRAS和STK11在EUR和AFR患者中富集。与所有其他组相比,AFR患者的TMB-High显着富集。基于性别的分析显示,80个基因的改变和TMB高状态的患病率存在差异。例如,EGFR,ALK,BRAF,KRAS改变在女性中显著丰富,而TP53、STK11、KEAP1和TMB-High在男性中显著富集。关于年龄,41个基因改变的患病率,包括ALK,RET,MET,EGFR,STK11,KEAP1,BRAF,还有KRAS,以及TMB-High,年龄<40岁和年龄≥40岁的患者之间存在显着差异。
结论:来自大型现实世界数据集的综合分析揭示了NSCLC基因组改变的祖先相关差异。还观察到基因组改变的患病率和TMB高状态的年龄和性别相关差异。
Some genomic alterations in non-small cell lung cancer (NSCLC) are known to differ according to race, sex, or age. These studies have been limited in sample size and thus they cannot detect the differences precisely and comprehensively.
Tissue-based comprehensive genomic profiling was performed on 75,362 patients with NSCLC from the United States during routine clinical care. Additionally, we examined data of a Japanese NSCLC cohort with 1,019 patients. In the US cohort, 296 genes were examined for pathogenic alterations. Predominant genetic ancestry was inferred using a SNP-based approach, and patients were categorized into European (EUR), African (AFR), East Asian (EAS), Admixed American (AMR), and South Asian (SAS) ancestry groups. Patients were additionally stratified by histologic type, age (<40/≥40 years, <75/≥75 years), and sex. The prevalence of high tumor mutational burden (TMB-High) and microsatellite instability status was also calculated.
Stratified by ancestry, EGFR alterations were significantly enriched in EAS versus other ancestry groups. The prevalence of ALK was significantly higher in the AMR, EAS, and SAS patients than in AFR and EUR patients. KRAS and STK11 were enriched in EUR and AFR patients versus other groups. TMB-High was significantly enriched in AFR patients versus all other groups. An analysis based on sex revealed differences in prevalence of alterations in 80 genes and TMB-High status. For example, EGFR, ALK, BRAF, and KRAS alterations were significantly enriched in females, whereas TP53, STK11, KEAP1, and TMB-High were significantly enriched in males. With respect to age, the prevalence of alterations in 41 genes, including ALK, RET, MET, EGFR, STK11, KEAP1, BRAF, and KRAS, as well as TMB-High, were significantly different between patients aged <40 years and those aged ≥40 years.
Comprehensive analysis from a large real-world dataset revealed ancestry-associated differences in genomic alterations in NSCLC. Age- and sex-related differences in prevalence of genomic alterations and TMB-High status were also observed.