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

Author:

Koike Yoshihiko1,Osakabe Mitsumasa1,Sugimoto Ryo1,Uesugi Noriyuku12,Matsumoto Takayuki3,Suzuki Hiromu4ORCID,Yanagawa Naoki1,Sugai Tamotsu12ORCID

Affiliation:

1. Department of Molecular Diagnostic Pathology, School of Medicine Iwate Medical University Shiwagun'yahabachou Japan

2. Diagnostic Pathology Center Southern Tohoku General Hospital Kooriyama Japan

3. Division of Gastroenterology Department of Internal Medicine Shiwagun'yahabachou Japan

4. Department of Molecular Biology Sapporo Medical University, School of Medicine Sapporo Japan

Abstract

AbstractWe 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.

Publisher

Wiley

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