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Genetic differences stratified by PCR-based microsatellite analysis in gastric intramucosal neoplasia
Authors:Tamotsu Sugai  Ryo Sugimoto  Wataru Habano  Masaki Endoh  Makoto Eizuka  Koudai Tsuchida  Eiichiro Yamamoto  Keisuke Kawasaki  Syunichi Yanai  Takayuki Matsumoto  Hiromu Suzuki
Institution:1.Department of Molecular Diagnostic Pathology, School of Medicine,Iwate Medical University,Morioka,Japan;2.Department of Pharmacodynamics and Molecular Genetics, School of Pharmacy,Iwate Medical University,Morioka,Japan;3.Division of Gastroenterology, Department of Internal Medicine,Iwate Medical University,Morioka,Japan;4.Department of Molecular Biology,Sapporo Medical University School of Medicine,Sapporo,Japan
Abstract:

Background

Although genetic alterations in patients with advanced gastric cancer have been extensively studied, those in patients with intramucosal neoplasia (IMN) are still poorly understood.

Methods

We evaluated genetic differences in 158 IMNs, including 51 low-grade dysplasias, 58 high-grade dysplasias (HGDs), 30 intramucosal cancers (IMCs), and 19 mixed tumors (composed of IMC and HGD within the same tumor), using PCR-based microsatellite analysis allelic imbalance (AI) and microsatellite instability (MSI)]. We classified the DNA methylation status as a hypermethylated epigenome, a moderately methylated epigenome, or a hypomethylated epigenome. In addition, p53 overexpression, β-catenin nuclear localization, and mucin expression were also examined.

Results

From cluster analysis, the IMNs examined were categorized into four subgroups as follows. Tumors in subgroup 1 were characterized by MSI-high status, a hypermethylated epigenome, and loss or reduction of expression of MLH-1. Tumors in subgroup 2 showed a mixed pattern consisting of AI and MSI. In contrast, tumors in subgroup 3, which showed accumulation of multiple AIs, were closely associated with HGD, IMC, or mixed tumor and exhibited nuclear expression of β-catenin. Tumors in subgroup 4, which were generally low-grade dysplasias, exhibited a low frequency of AIs and no MSI. Although the mucin phenotype was not correlated with any subgroup, expression of mucin was associated with some subgroups. Overexpression of p53 was common in all subgroups.

Conclusion

The approach described herein was useful for studying genetic differences in IMNs. In addition, we suggest that stratification of genetic differences may help to identify genetic molecular profiles in IMNs.
Keywords:
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