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5190 例儿童癌症中致癌融合的病因及其临床和治疗意义。

Etiology of oncogenic fusions in 5,190 childhood cancers and its clinical and therapeutic implication.

机构信息

Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.

Department of Cell and Molecular Biology and Center for Advanced Genome Editing, St. Jude Children's Research Hospital, Memphis, TN, USA.

出版信息

Nat Commun. 2023 Apr 5;14(1):1739. doi: 10.1038/s41467-023-37438-4.

Abstract

Oncogenic fusions formed through chromosomal rearrangements are hallmarks of childhood cancer that define cancer subtype, predict outcome, persist through treatment, and can be ideal therapeutic targets. However, mechanistic understanding of the etiology of oncogenic fusions remains elusive. Here we report a comprehensive detection of 272 oncogenic fusion gene pairs by using tumor transcriptome sequencing data from 5190 childhood cancer patients. We identify diverse factors, including translation frame, protein domain, splicing, and gene length, that shape the formation of oncogenic fusions. Our mathematical modeling reveals a strong link between differential selection pressure and clinical outcome in CBFB-MYH11. We discover 4 oncogenic fusions, including RUNX1-RUNX1T1, TCF3-PBX1, CBFA2T3-GLIS2, and KMT2A-AFDN, with promoter-hijacking-like features that may offer alternative strategies for therapeutic targeting. We uncover extensive alternative splicing in oncogenic fusions including KMT2A-MLLT3, KMT2A-MLLT10, C11orf95-RELA, NUP98-NSD1, KMT2A-AFDN and ETV6-RUNX1. We discover neo splice sites in 18 oncogenic fusion gene pairs and demonstrate that such splice sites confer therapeutic vulnerability for etiology-based genome editing. Our study reveals general principles on the etiology of oncogenic fusions in childhood cancer and suggests profound clinical implications including etiology-based risk stratification and genome-editing-based therapeutics.

摘要

致癌融合通过染色体重排形成,是儿童癌症的标志,可定义癌症亚型、预测结果、在治疗中持续存在,并可作为理想的治疗靶点。然而,致癌融合的病因学的机制理解仍然难以捉摸。在这里,我们通过对 5190 名儿童癌症患者的肿瘤转录组测序数据进行分析,全面检测了 272 对致癌融合基因对。我们发现了多种因素,包括翻译框架、蛋白质结构域、剪接和基因长度,这些因素影响了致癌融合的形成。我们的数学模型揭示了 CBFB-MYH11 中差异选择压力与临床结果之间的强烈联系。我们发现了 4 种致癌融合,包括 RUNX1-RUNX1T1、TCF3-PBX1、CBFA2T3-GLIS2 和 KMT2A-AFDN,它们具有启动子劫持样特征,可能为治疗靶向提供替代策略。我们在致癌融合中发现了广泛的选择性剪接,包括 KMT2A-MLLT3、KMT2A-MLLT10、C11orf95-RELA、NUP98-NSD1、KMT2A-AFDN 和 ETV6-RUNX1。我们在 18 对致癌融合基因对中发现了新的剪接位点,并证明这些剪接位点为基于病因的基因组编辑提供了治疗上的脆弱性。我们的研究揭示了儿童癌症中致癌融合的病因学的一般原则,并提出了深远的临床意义,包括基于病因的风险分层和基于基因组编辑的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16d3/10076316/12429bcfbc84/41467_2023_37438_Fig1_HTML.jpg

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