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Series GSE35809 Query DataSets for GSE35809
Status Public on Jul 05, 2012
Title Gastric Cancer Subtyping (Australian Patient Cohort)
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. 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-xpression-based clustering of a large collection of gastric adenocarcinomas from Singaporean patients [GSE34942 and GSE15459]. We developed and validated a classifier for the three subtypes in Australian patient cohort.
 
Overall design Profiling of 70 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from Peter MacCallum Cancer Center, Australia; the Research Ethics Review Committee; and signed patient informed consent.
 
Contributor(s) Lei Z, Rozen S, Tan P, Boussioutas A
Citation(s) 22735568, 25053715, 23684942
Submission date Feb 14, 2012
Last update date Mar 25, 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 (70)
GSM875412 gastric tumor Gastric0001
GSM875413 gastric tumor Gastric0002
GSM875414 gastric tumor Gastric0006
Relations
BioProject PRJNA152559

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
GSE35809_RAW.tar 331.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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