APOBEC mutagenesis, kataegis, chromothripsis in EGFR-mutant osimertinib-resistant lung adenocarcinomas

阿波贝克 奥西默替尼 癌症研究 肺癌 克里唑蒂尼 突变 表皮生长因子受体 靶向治疗 生物 突变 突变体 腺癌 医学 癌症 遗传学 基因 病理 埃罗替尼 基因组 恶性胸腔积液
作者
Pier Selenica,Antonio Marra,Noura J. Choudhury,Andrea Gazzo,Christina Falcon,Juber Patel,Xin Pei,Yingjie Zhu,Charlotte K.Y. Ng,Michael Curry,Glenn Heller,Y.-K. Zhang,M.F. Berger,Marc Ladanyi,Charles M. Rudin,Sarat Chandarlapaty,Christine M. Lovly,Jorge S. Reis-Filho,Helena A. Yu
出处
期刊:Annals of Oncology [Elsevier]
卷期号:33 (12): 1284-1295 被引量:11
标识
DOI:10.1016/j.annonc.2022.09.151
摘要

•RTK-driven lung cancers display higher levels of APOBEC mutagenesis as compared to other lung cancers.•RTK-driven LUAD with evidence of APOBEC mutagenesis are enriched in subclonal mutations.•APOBEC is a dominant mutational process in post-osimertinib samples of EGFR-mutant lung cancers.•APOBEC mutagenesis might have a relevant role in the development of resistance to targeted therapies. BackgroundStudies 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.Patients and methodsAPOBEC 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.ResultsAPOBEC 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.ConclusionsAPOBEC 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. 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
传奇3应助xiahua采纳,获得10
1秒前
3秒前
3秒前
冉柒发布了新的文献求助10
3秒前
3秒前
4秒前
5秒前
123发布了新的文献求助10
6秒前
lin发布了新的文献求助10
6秒前
li完成签到,获得积分10
7秒前
上官若男应助凌香芦采纳,获得10
8秒前
lin发布了新的文献求助10
8秒前
英勇的夜蓉完成签到,获得积分10
9秒前
慕青应助修脚大师采纳,获得10
9秒前
9秒前
10秒前
所所应助唠叨的访文采纳,获得10
10秒前
李可以发布了新的文献求助10
10秒前
文献搬运工完成签到,获得积分10
10秒前
SciGPT应助边伯贤采纳,获得10
10秒前
dummer完成签到,获得积分10
11秒前
彭于晏应助懒羊羊大王采纳,获得10
12秒前
游标完成签到,获得积分10
12秒前
13秒前
13秒前
852应助wx采纳,获得10
13秒前
14秒前
回年年发布了新的文献求助10
16秒前
科研通AI6.3应助SYM采纳,获得10
17秒前
赘婿应助123采纳,获得10
18秒前
书晗发布了新的文献求助10
18秒前
18秒前
冷静的豪完成签到 ,获得积分10
18秒前
认真的青梦应助一路顺风采纳,获得10
18秒前
18秒前
上官若男应助WangY1263采纳,获得10
19秒前
19秒前
Catherine发布了新的文献求助10
20秒前
科目三应助杨张浩采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019217
求助须知:如何正确求助?哪些是违规求助? 7612188
关于积分的说明 16161370
捐赠科研通 5166910
什么是DOI,文献DOI怎么找? 2765483
邀请新用户注册赠送积分活动 1747235
关于科研通互助平台的介绍 1635524