| Literature DB >> 20217874 |
Masahiro Uchida1, Yoshiyuki Tsukamoto, Tomohisa Uchida, Yuta Ishikawa, Takayuki Nagai, Naoki Hijiya, Lam Tung Nguyen, Chisato Nakada, Akiko Kuroda, Tadayoshi Okimoto, Masaaki Kodama, Kazunari Murakami, Tsuyoshi Noguchi, Keiko Matsuura, Masato Tanigawa, Masao Seto, Hisao Ito, Toshio Fujioka, Ichiro Takeuchi, Masatsugu Moriyama.
Abstract
Although genomic copy number aberrations (CNAs) of gastric carcinoma at the advanced stage have already been extensively characterized by array comparative genomic hybridization (array CGH) analysis, those of gastric carcinoma in situ (CIS) are still poorly understood. Furthermore, no reports have demonstrated correlations between CNAs and histopathological features of gastric adenoma. In this study, we investigated CNAs of 20 gastric CISs (Vienna category 4.2) and 20 adenomas including seven low-grade adenomas (LGA; Vienna category 3) and 13 high-grade adenomas (HGA; Vienna category 4.1), using oligonucleotide-based array CGH. The most frequent aberrations in CIS were gains at 8q (85%) and 20q (50%), and losses at 5q (50%) and 17p (50%), suggesting that these CNAs are involved in the development of CIS. We found that the pattern of CNAs in HGA was quite different from that in LGA. The most frequent CNAs in HGA were gains at 8q (62%) and 7pq (54%), whereas those in LGA were gain at 7q21.3-q22.1 (57%) and loss at 5q (43%). Interestingly, gains at 8q and 7pq, both of which occurred most frequently in HGA, were not detected in any cases of LGA. Of note, 8q gain was detected most frequently in both HGA and CIS but was undetected in LGA. Since HGA is believed to have a higher risk of progression to invasive carcinoma than LGA, these data suggest that 8q gain is important for the malignant transformation of gastric adenoma. Copyright (c) 2010 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.Entities:
Mesh:
Year: 2010 PMID: 20217874 DOI: 10.1002/path.2686
Source DB: PubMed Journal: J Pathol ISSN: 0022-3417 Impact factor: 7.996