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

• Published in: The Journal of Pathology: Clinical Research
• Main Authors: Yoshihiko Koike, Mitsumasa Osakabe, Ryo Sugimoto, Noriyuku Uesugi, Takayuki Matsumoto, Hiromu Suzuki, Naoki Yanagawa, Tamotsu Sugai
• Format: Article
• Language: English
• Published: Wiley 2024-03-01
• Subjects: array‐based analysis; genome‐wide study; gastric cancer; gastric intramucosal neoplasia; somatic copy number alteration; messenger RNA
• Online Access: https://doi.org/10.1002/2056-4538.12368

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.