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Series GSE57176 Query DataSets for GSE57176
Status Public on Jun 30, 2014
Title Early and advanced gastric cancer genomes
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Early gastric cancers (EGC) precede advanced gastric cancers (AGC) with a favorable clinical outcome compared to advanced gastric cancers (AGC). To understand the progression mechanisms of EGC to AGC, it is required to disclose the EGC and AGC genomes in terms of the the mutational and evolutionary perspectives.
In this study, we performed whole-exome sequencing and copy number profiling of nine microsatellite (MS)-unstable (MSI-H) (5 EGC and 4 AGC) and eight MS-stable (MSS) gastric cancers (4 EGC and 4 AGC). Unexpectedly, we observed no substantial differences in the number, sequence composition and functional consequences (potential driver mutations and affected pathways) of the mutations and CNAs between EGC and AGC genomes in both MSI-H and MSS cases.
 
Overall design Gastrectomy tissues from 17 GC patients were used for this study. The hospital pathology department confirmed pathologic features of the GC (e.g., EGC vs. AGC, differentiation, lymph node metastasis and TNM stage). All of the picked areas from tumor and normal areas were frozen, cut, and stained with hematoxylin & eosin (H&E). Two pathologists selected cases with rich tumor cell population (at least 60%), which were subsequently used in the study. Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.
 
Contributor(s) Jung S, Chung Y
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Submission date Apr 29, 2014
Last update date Jul 01, 2014
Contact name SeungHyun Jung
E-mail(s) hyun@catholic.ac.kr
Phone 82-2-2258-7509
Organization name Catholic University of Korea
Department Department of Biochemistry
Street address catholic university, medical college, banpo-dong
City seoul
State/province seoul
ZIP/Postal code 06591
Country South Korea
 
Platforms (1)
GPL10123 Agilent-022060 SurePrint G3 Human CGH Microarray 4x180K (Feature Number version)
Samples (17)
GSM1376718 EGC3
GSM1376719 EGC8
GSM1376720 EGC15
Relations
BioProject PRJNA245831

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE57176_RAW.tar 321.2 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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