Memorial Sloan Kettering Cancer Center, New York City.
Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York City.
Ann Oncol. 2022 Dec;33(12):1284-1295. doi: 10.1016/j.annonc.2022.09.151. Epub 2022 Sep 9.
Studies of targeted therapy resistance in lung cancer have primarily focused on single-gene alterations. Based on prior work implicating apolipoprotein b mRNA-editing enzyme, catalytic polypeptide-like (APOBEC) mutagenesis in histological transformation of epidermal growth factor receptor (EGFR)-mutant lung cancers, we hypothesized that mutational signature analysis may help elucidate acquired resistance to targeted therapies.
APOBEC mutational signatures derived from an Food and Drug Administration-cleared multigene panel [Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)] using the Signature Multivariate Analysis (SigMA) algorithm were validated against the gold standard of mutational signatures derived from whole-exome sequencing. Mutational signatures were decomposed in 3276 unique lung adenocarcinomas (LUADs), including 93 paired osimertinib-naïve and -resistant EGFR-mutant tumors. Associations between APOBEC and mechanisms of resistance to osimertinib were investigated. Whole-genome sequencing was carried out on available EGFR-mutant lung cancer samples (10 paired, 17 unpaired) to investigate large-scale genomic alterations potentially contributing to osimertinib resistance.
APOBEC mutational signatures were more frequent in receptor tyrosine kinase (RTK)-driven lung cancers (EGFR, ALK, RET, and ROS1; 25%) compared to LUADs at large (20%, P < 0.001); across all subtypes, APOBEC mutational signatures were enriched in subclonal mutations (P < 0.001). In EGFR-mutant lung cancers, osimertinib-resistant samples more frequently displayed an APOBEC-dominant mutational signature compared to osimertinib-naïve samples (28% versus 14%, P = 0.03). Specifically, mutations detected in osimertinib-resistant tumors but not in pre-treatment samples significantly more frequently displayed an APOBEC-dominant mutational signature (44% versus 23%, P < 0.001). EGFR-mutant samples with APOBEC-dominant signatures had enrichment of large-scale genomic rearrangements (P = 0.01) and kataegis (P = 0.03) in areas of APOBEC mutagenesis.
APOBEC mutational signatures are frequent in RTK-driven LUADs and increase under the selective pressure of osimertinib in EGFR-mutant lung cancer. APOBEC mutational signature enrichment in subclonal mutations, private mutations acquired after osimertinib treatment, and areas of large-scale genomic rearrangements highlights a potentially fundamental role for APOBEC mutagenesis in the development of resistance to targeted therapies, which may be potentially exploited to overcome such resistance.
肺癌靶向治疗耐药的研究主要集中在单一基因改变上。基于先前的研究表明载脂蛋白 B mRNA 编辑酶、催化多肽样(APOBEC)突变可导致表皮生长因子受体(EGFR)突变型肺癌的组织学转化,我们假设突变特征分析可能有助于阐明对靶向治疗的获得性耐药。
使用 Signature Multivariate Analysis(SigMA)算法从经食品和药物管理局批准的多基因面板[纪念斯隆凯特琳癌症中心可操作癌症靶点的综合突变分析(MSK-IMPACT)]中获得的 APOBEC 突变特征与源自全外显子测序的突变特征的金标准进行验证。在 3276 个独特的肺腺癌(LUAD)中对突变特征进行了分解,包括 93 对奥希替尼初治和耐药的 EGFR 突变肿瘤。研究了 APOBEC 与奥希替尼耐药机制之间的关系。对可用的 EGFR 突变肺癌样本(10 对配对,17 对非配对)进行全基因组测序,以研究可能导致奥希替尼耐药的大规模基因组改变。
在受体酪氨酸激酶(RTK)驱动的肺癌(EGFR、ALK、RET 和 ROS1;25%)中,APOBEC 突变特征比 LUAD 更常见(20%,P<0.001);在所有亚型中,APOBEC 突变特征在亚克隆突变中富集(P<0.001)。在 EGFR 突变型肺癌中,与奥希替尼初治样本相比,奥希替尼耐药样本中更常出现 APOBEC 主导的突变特征(28%比 14%,P=0.03)。具体来说,在奥希替尼耐药肿瘤中检测到但在预处理样本中未检测到的突变,更常显示 APOBEC 主导的突变特征(44%比 23%,P<0.001)。具有 APOBEC 主导特征的 EGFR 突变样本中,在 APOBEC 突变区域存在大规模基因组重排(P=0.01)和kataegis(P=0.03)的富集。
APOBEC 突变特征在 RTK 驱动的 LUAD 中很常见,并且在 EGFR 突变型肺癌中奥希替尼的选择性压力下会增加。APOBEC 突变特征在亚克隆突变、奥希替尼治疗后获得的私有突变和大规模基因组重排区域的富集,突出了 APOBEC 突变在靶向治疗耐药中的潜在基本作用,这可能被利用来克服这种耐药性。