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胃食管结合部腺癌及其 Siewert 亚型的独特基因组特征的鉴定。

Identification of the distinct genomic features in gastroesophageal junction adenocarcinoma and its Siewert subtypes.

机构信息

Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, PR China.

Department of Oncology, Shanghai Medical College, Fudan University, Dongan Road, Shanghai, PR China.

出版信息

J Pathol. 2020 Nov;252(3):263-273. doi: 10.1002/path.5516. Epub 2020 Oct 2.

DOI:10.1002/path.5516
PMID:32715475
Abstract

Rates of gastroesophageal junction adenocarcinomas (GEJAs) have shown an alarming increase; however, the genetic background of GEJA and its Siewert classification have yet to be uncovered. Here, 60 paired tumor and normal DNA samples from GEJA patients were analyzed by whole-exome sequencing. Among them, 13 were Siewert type I, 14 were type II, and 33 were type III. A predominance of C/G>T/A substitutions was discovered in GEJA, followed by C/G>A/T substitutions. Notably, Siewert type I and type II/III display distinct sets of driver genes, mutational spectrum, and recurrently disrupted pathways. Siewert type I showed similarity to esophageal adenocarcinomas (EACs) and the chromosomal instability subtype of stomach adenocarcinomas, while Siewert type II/III showed similarity to the genomic stable subtype of stomach adenocarcinoma. We also found that mutation of FBXW7, a driver gene of GEJA, was enriched in Siewert type I. Our data identify differences between GEJA and stomach/EACs at the genomic level and provide evidence for differential treatment based on Siewert classification of GEJA. © 2020 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

摘要

胃食管结合部腺癌(GEJA)的发病率呈惊人增长趋势,但 GEJA 的遗传背景及其 Siewert 分类尚未被揭示。本研究中,我们对 60 对 GEJA 患者的肿瘤和正常 DNA 样本进行了全外显子组测序分析。其中,13 例为 Siewert Ⅰ型,14 例为 Siewert Ⅱ型,33 例为 Siewert Ⅲ型。研究发现,GEJA 中存在 C/G>T/A 取代为主,其次是 C/G>A/T 取代。值得注意的是,Siewert Ⅰ型和Ⅱ/Ⅲ型显示出不同的驱动基因、突变谱和反复被破坏的通路。Siewert Ⅰ型与食管腺癌(EAC)和胃腺癌的染色体不稳定亚型相似,而 Siewert Ⅱ/Ⅲ型与胃腺癌的基因组稳定亚型相似。我们还发现,GEJA 的驱动基因 FBXW7 的突变在 Siewert Ⅰ型中富集。我们的数据在基因组水平上识别出了 GEJA 与胃/EAC 的差异,并为基于 GEJA 的 Siewert 分类的差异化治疗提供了证据。

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