Literature DB >> 20872948

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

Chan-Hee Park1, Sun-Young Rha, Hei-Cheul Jeung, Seung-Hui Kang, Dong-Hyuk Ki, Won-Suk Lee, Sung-Hoon Noh, Hyun-Cheol Chung.   

Abstract

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. J. Surg. Oncol. 2010;102:454-461.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20872948     DOI: 10.1002/jso.21585

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  6 in total

Review 1.  Replication stress and mechanisms of CNV formation.

Authors:  Martin F Arlt; Thomas E Wilson; Thomas W Glover
Journal:  Curr Opin Genet Dev       Date:  2012-02-23       Impact factor: 5.578

Review 2.  Gastric cancer and gene copy number variation: emerging cancer drivers for targeted therapy.

Authors:  L Liang; J-Y Fang; J Xu
Journal:  Oncogene       Date:  2015-06-15       Impact factor: 9.867

3.  Recurrent amplification of MYC and TNFRSF11B in 8q24 is associated with poor survival in patients with gastric cancer.

Authors:  Xiaohong Wang; Yiqiang Liu; Duanfang Shao; Ziliang Qian; Zhengwei Dong; Yun Sun; Xiaofang Xing; Xiaojing Cheng; Hong Du; Ying Hu; Yingai Li; Lin Li; Bin Dong; Ziyu Li; Aiwen Wu; Xiaojiang Wu; Zhaode Bu; Xianglong Zong; Guanshan Zhu; Qunsheng Ji; Xian-zi Wen; Lian-hai Zhang; Jia-fu Ji
Journal:  Gastric Cancer       Date:  2015-01-25       Impact factor: 7.370

Review 4.  Challenges of deciphering gastric cancer heterogeneity.

Authors:  Petra Hudler
Journal:  World J Gastroenterol       Date:  2015-10-07       Impact factor: 5.742

5.  Overexpression of MAPK15 in gastric cancer is associated with copy number gain and contributes to the stability of c-Jun.

Authors:  Dong-Hao Jin; Jeeyun Lee; Kyoung Mee Kim; Sung Kim; Duk-Hwan Kim; Joobae Park
Journal:  Oncotarget       Date:  2015-08-21

6.  Copy Number Gains at 8q24 and 20q11-q13 in Gastric Cancer Are More Common in Intestinal-Type than Diffuse-Type.

Authors:  Dong-Hao Jin; Seong-Eun Park; Jeeyun Lee; Kyung-Mi Kim; Sung Kim; Duk-Hwan Kim; Joobae Park
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

  6 in total

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