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Identification of novel gastric cancer-associated CNVs by integrated analysis of microarray

 Chan-Hee Park  ;  Sun-Young Rha  ;  Hei-Cheul Jeung  ;  Seung-Hui Kang  ;  Dong-Hyuk Ki  ;  Won-Suk Lee  ;  Sung-Hoon Noh  ;  Hyun-Cheol Chung 
 JOURNAL OF SURGICAL ONCOLOGY, Vol.102(5) : 454-461, 2010 
Journal Title
Issue Date
Female ; Gene Dosage* ; Genes, Tumor Suppressor ; Genome ; Humans ; Leukocytes, Mononuclear ; Male ; Oligonucleotide Array Sequence Analysis/methods* ; Placenta ; Pregnancy ; RNA, Messenger/analysis ; Stomach Neoplasms/genetics* ; Stomach Neoplasms/metabolism
gastric cancer ; copy number variants ; microarray‐CGH
BACKGROUND: Microarray-CGH facilitates analysis of cancer-associated genomic differences between normal and tumor tissues and provides a genome-wide assessment of copy number variations (CNVs). METHODS: To identify CNVs and their clinical significance in gastric cancer, Microarray-CGH was performed to identify CNVs with genomic DNA (gDNA) from normal placenta tissue, peripheral blood mononuclear cells (PBMCs), and normal gastric tissue. RESULTS: A total of 20 CNVs, including 8 novel CNVs, were identified by Microarray-CGH. Among the 20 CNVs, 5 showed an aberration frequency of over 50%. In addition, mRNA expression of W72437 (TFIIH), AI968311 (GAGE10), AI352361, and AA169807 (PTCH1) in normal tissues and AA485362 (GPX1), AI201652, and AI968311 (GAGE10) in cancer tissues was associated with DNA change. As a whole, incidences of oncogene-like, suppressor-like, and innocent CNVs were 13.8%, 13.2%, and 73.0%, respectively (gain 11.4%, loss 11.8%). AA936795 (C19orf61) appeared as an oncogene-like CNV (9/30, 30%), A1352361 (13/30, 43%), and AA281797 (LOC728340, 10/30, 33%) appeared as tumor suppressor-related CNVs. CONCLUSIONS: This study identified gastric cancer-associated and innocent CNVs in gDNA isolated from placenta tissue and PBMC, which are generally used as reference samples in Microarray-CGH. These novel CNVs may be used for gastric cancer-specific gene selection in comparative analysis of genomics.
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1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Medical Research Center (임상의학연구센터) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Seung Hui(강승희)
Ki, Dong Hyuk(기동혁)
Noh, Sung Hoon(노성훈) ORCID logo https://orcid.org/0000-0003-4386-6886
Rha, Sun Young(라선영) ORCID logo https://orcid.org/0000-0002-2512-4531
Lee, Won Suk(이원석)
Chung, Hyun Cheol(정현철) ORCID logo https://orcid.org/0000-0002-0920-9471
Jeung, Hei Cheul(정희철) ORCID logo https://orcid.org/0000-0003-0952-3679
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