A genome-wide study of gastric intramucosal neoplasia based on somatic copy number alterations, gene mutations, and mRNA expression patterns

IF 3.4 2区 医学 Q1 PATHOLOGY Journal of Pathology Clinical Research Pub Date : 2024-03-07 DOI:10.1002/2056-4538.12368
Yoshihiko Koike, Mitsumasa Osakabe, Ryo Sugimoto, Noriyuku Uesugi, Takayuki Matsumoto, Hiromu Suzuki, Naoki Yanagawa, Tamotsu Sugai
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Abstract

We performed comprehensive analyses of somatic copy number alterations (SCNAs) and gene expression profiles of gastric intramucosal neoplasia (IMN) using array-based methods in 97 intestinal-type IMNs, including 39 low-grade dysplasias (LGDs), 37 high-grade dysplasias (HGDs), and 26 intramucosal carcinomas (IMCs) with stromal invasion of the lamina propria to identify the molecular mechanism of IMN. In addition, we examined gene mutations using gene panel analyses. We used cluster analyses for exclusion of arbitrariness to identify SCNA patterns and expression profiles. IMNs were classified into two distinct subgroups (subgroups 1 and 2) based on SCNA patterns. Subgroup 1 showed a genomic stable pattern due to the low frequency of SCNAs, whereas subgroup 2 exhibited a chromosomal instability pattern due to the high frequencies of SCNAs and TP53 mutations. Interestingly, although the frequencies of LGD and HGD were significantly higher in subgroup 1 than in subgroup 2, IMC was commonly found in both types. Although the expression profiles of specific mRNAs could be used to categorise subgroups 1 and 2, no clinicopathological findings correlated with either subgroup. We examined signalling pathways specific to subgroups 1 and 2 to identify the association of each subgroup with signalling pathways based on gene ontology tree visualisation: subgroups 1 and 2 were associated with haem metabolism and chromosomal instability, respectively. These findings reveal a comprehensive genomic landscape that highlights the molecular complexity of IMNs and provide a road map to facilitate our understanding of gastric IMNs.

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基于体细胞拷贝数改变、基因突变和 mRNA 表达模式的胃黏膜内肿瘤全基因组研究。
我们采用基于阵列的方法对97例肠型胃黏膜内肿瘤(IMN)进行了体细胞拷贝数改变(SCNA)和基因表达谱的综合分析,其中包括39例低度发育不良(LGD)、37例高度发育不良(HGD)和26例有固有层基质侵犯的黏膜内癌(IMC),以确定IMN的分子机制。此外,我们还利用基因面板分析检查了基因突变。我们使用聚类分析排除任意性,以确定 SCNA 模式和表达谱。根据 SCNA 模式,IMN 被分为两个不同的亚组(亚组 1 和亚组 2)。亚组1由于SCNA的低频率而表现出基因组稳定模式,而亚组2由于SCNA和TP53突变的高频率而表现出染色体不稳定模式。有趣的是,虽然亚组 1 中 LGD 和 HGD 的频率明显高于亚组 2,但 IMC 在这两种类型中都普遍存在。虽然特定 mRNA 的表达谱可用来划分亚组 1 和亚组 2,但临床病理结果与这两个亚组都不相关。我们研究了亚组 1 和亚组 2 的特异信号通路,根据基因本体树可视化确定每个亚组与信号通路的关联:亚组 1 和亚组 2 分别与血红蛋白代谢和染色体不稳定性有关。这些发现揭示了一个全面的基因组图谱,凸显了IMNs分子的复杂性,为我们了解胃IMNs提供了路线图。
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来源期刊
Journal of Pathology Clinical Research
Journal of Pathology Clinical Research Medicine-Pathology and Forensic Medicine
CiteScore
7.40
自引率
2.40%
发文量
47
审稿时长
20 weeks
期刊介绍: The Journal of Pathology: Clinical Research and The Journal of Pathology serve as translational bridges between basic biomedical science and clinical medicine with particular emphasis on, but not restricted to, tissue based studies. The focus of The Journal of Pathology: Clinical Research is the publication of studies that illuminate the clinical relevance of research in the broad area of the study of disease. Appropriately powered and validated studies with novel diagnostic, prognostic and predictive significance, and biomarker discover and validation, will be welcomed. Studies with a predominantly mechanistic basis will be more appropriate for the companion Journal of Pathology.
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