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Integration of DNA Copy Number Alterations and Transcriptional Expression Analysis in Human Gastric Cancer
Authors
A Japanese Gastric Cancer
A Kallioniemi
+59 more
A Thollet
AM Snijders
AN Jain
B Schuell
Biao Fan
C Kosinski
C Sakakura
CD White
CE Nesbit
CH An
D Chu
DG Albertson
EH Mahlamaki
F Andre
H van Dekken
H Wang
Ho Coral
J Ji
JG Hodgson
Jiafu Ji
JM Atienza
K Lee
Kent Man Chu
KL Gorringe
L Potla
Lianhai Zhang
M Heidenblad
M Miyoshi
MM Weiss
NN Nupponen
P Lauren
P Mlkvy
Q Wang
R Nakamura
Reiner Albert Veitia
S Adhikary
S Junnila
S Kaptain
S Myllykangas
SA Lee
SH Jin
Simon Law
Siu Tsan Yuen
Somkid Dachrut
ST Yuen
Suet Yi Leung
T Noguchi
TD Allen
TS Yeh
VA Schmidt
VG Tusher
W Song
X Chen
Xin Chen
XW Zhang
Y Benjamini
Y Haupt
Y Hippo
Y Tsukamoto
Publication date
1 January 2012
Publisher
Public Library of Science
Doi
View
on
PubMed
Abstract
Background: Genomic instability with frequent DNA copy number alterations is one of the key hallmarks of carcinogenesis. The chromosomal regions with frequent DNA copy number gain and loss in human gastric cancer are still poorly defined. It remains unknown how the DNA copy number variations contributes to the changes of gene expression profiles, especially on the global level. Principal Findings: We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridization (aCGH). Statistical analysis was applied to correlate previously published gene expression data obtained from cDNA microarrays with corresponding DNA copy number variation data to identify candidate oncogenes and tumor suppressor genes. We found that gastric cancer samples showed recurrent DNA copy number variations, including gains at 5p, 8q, 20p, 20q, and losses at 4q, 9p, 18q, 21q. The most frequent regions of amplification were 20q12 (7/72), 20q12-20q13.1 (12/72), 20q13.1-20q13.2 (11/72) and 20q13.2-20q13.3 (6/72). The most frequent deleted region was 9p21 (8/72). Correlating gene expression array data with aCGH identified 321 candidate oncogenes, which were overexpressed and showed frequent DNA copy number gains; and 12 candidate tumor suppressor genes which were down-regulated and showed frequent DNA copy number losses in human gastric cancers. Three networks of significantly expressed genes in gastric cancer samples were identified by ingenuity pathway analysis. Conclusions: This study provides insight into DNA copy number variations and their contribution to altered gene expression profiles during human gastric cancer development. It provides novel candidate driver oncogenes or tumor suppressor genes for human gastric cancer, useful pathway maps for the future understanding of the molecular pathogenesis of this malignancy, and the construction of new therapeutic targets. © 2012 Fan et al.published_or_final_versio
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