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Series GSE39130 Query DataSets for GSE39130
Status Public on Nov 06, 2012
Title Profiles of genomic instability in high-grade serous ovarian cancer (HGSC) predict treatment outcome
Organism Homo sapiens
Experiment type Genome variation profiling by SNP array
SNP genotyping by SNP array
Summary Profiling of loss of heterozygosity (LOH) in HGSC, subcrouping HGSC by LOH-based clustering and comparing to the LOH profiles of triple-negative breast cancer [previously submitted; GSE19594].
Study for the correlation of LOH burdern and LOH-based subgroups to clinical response to platinum-based chemotherapy in patients suffered from HGSC.
Overall design SNP data (Affymetrix GenChip 250K SNP Nsp) from 47 high grade serous ovarian cancer were generated and used for LOH and copy number analysis, LOH-based hierarchical clustering to subclassify HGSC, and comparison to the chromosomal alterations in high grade brest cancer. The associstion between LOH-based subgroups and LOH burden and clinical resposne to platinum-based chemotherapy was investigated. The results were validated in two independent public opening datasets.
Contributor(s) Wang ZC, Birkbak NJ, Culhane AC, Drapkin R, Liu J, Fatima A, Tian R, Daniels KE, Piao H, Miron A, Quackenbush J, Berkowitz RS, Iglehart JD, Matulonis UA
Citation(s) 22912389
Submission date Jul 05, 2012
Last update date May 17, 2017
Contact name Zhigang C Wang
Phone (617)582-7353
Fax (617)6323097
Organization name Dana-Farber Cancer Institute
Department Cancer Biology
Street address 450 Brookline Ave SM936A
City Boston
State/province MA
ZIP/Postal code 02215
Country USA
Platforms (1)
GPL3718 [Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array
Samples (65)
GSM956523 high grade serous ovarian cancer_HGSC1
GSM956524 high grade serous ovarian cancer_HGSC2
GSM956525 high grade serous ovarian cancer_HGSC3
BioProject PRJNA170063

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
GSE39130_RAW.tar 1.7 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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