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Series GSE34942 Query DataSets for GSE34942
Status Public on Sep 05, 2014
Title Gastric cancer subtyping (Singapore Patient Cohort, batch B)
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities.
Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. Here we report a robust gene-expression-based clustering of a large collection of gastric adenocarcinomas (with GSE15459) from Singaporean patients.
 
Overall design Profiling of 56 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
 
Contributor(s) Lei Z, Rozen S, Tan P
Citation(s) 25053715, 23684942, 30115935
Submission date Jan 09, 2012
Last update date May 21, 2019
Contact name Zhengdeng Lei
E-mail(s) zhengdeng.lei@duke-nus.edu.sg
Organization name Duke-NUS graduate medical school
Lab Lei
Street address 8 College Road
City Singapore
ZIP/Postal code 169857
Country Singapore
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (56)
GSM858082 gastric tumor GC-2000038T
GSM858083 gastric tumor GC-2000137T
GSM858084 gastric tumor GC-2000344T
This SubSeries is part of SuperSeries:
GSE15460 Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer
Relations
BioProject PRJNA150983

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
GSE34942_RAW.tar 252.8 Mb (http)(custom) TAR (of CEL)
GSE34942_outcome.xls 61.0 Kb (ftp)(http) XLS
Processed data included within Sample table

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