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Series GSE63490 Query DataSets for GSE63490
Status Public on Jul 11, 2016
Title Copy number analysis of liver metastases from colorectal cancer
Organism Homo sapiens
Experiment type Genome variation profiling by SNP array
Summary Almost half of all patients diagnosed with colorectal cancer develop liver metastases. The potential role of intra-individual metastatic heterogeneity remains poorly characterized. By high-resolution DNA copy number analyses and a novel approach based on pair-wise genetic distance, we examined the genetic heterogeneity among multiple liver metastatic deposits obtained from 45 patients subject to curative liver resection. We found large variation in intra-individual metastatic heterogeneity. A high level of heterogeneity was associated with poor patient survival. Patients with metachronous metastases who received chemotherapy had significantly more heterogeneity than chemonaïve patients.
 
Overall design Genome-wide copy number analysis was performed on fresh frozen tissue samples from 134 liver metastatic deposits and 6 primary tumors from 45 patients with metastatic colorectal cancer using the Affymetrix SNP 6.0 Array
 
Contributor(s) Sveen A, Løes IM, Alagaratnam S, Knappskog S, Lønning PE, Lothe RA
Citation(s) 27472274
Submission date Nov 19, 2014
Last update date Nov 27, 2018
Contact name Anita Sveen
E-mail(s) anita.sveen@rr-research.no
Organization name Institute for Cancer Research, Oslo University Hospital
Department Department of Molecular Oncology
Street address P.O.Box 4953, Nydalen
City Oslo
ZIP/Postal code NO-0424
Country Norway
 
Platforms (1)
GPL6801 [GenomeWideSNP_6] Affymetrix Genome-Wide Human SNP 6.0 Array
Samples (140)
GSM1550601 Colorectal cancer liver metastasis t104-1
GSM1550602 Colorectal cancer liver metastasis t104-2
GSM1550603 Colorectal cancer liver metastasis t105-1
Relations
BioProject PRJNA268028

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
GSE63490_RAW.tar 4.1 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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